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In the new millennium, education is rapidly changing due to the more and more pervasive use of technology to support teaching and learning. New Information and Communication Technologies (ICTs), such as internet, wikis, blogs, search engines, emails and instant messaging require new literacy frameworks and ...

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• Published: 12 February 2024

Education reform and change driven by digital technology: a bibliometric study from a global perspective

• Chengliang Wang 1 ,
• Xiaojiao Chen 1 ,
• Teng Yu   ORCID: orcid.org/0000-0001-5198-7261 2 , 3 ,
• Yidan Liu 1 , 4 &
• Yuhui Jing 1  

Humanities and Social Sciences Communications volume  11 , Article number:  256 ( 2024 ) Cite this article

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• Development studies
• Science, technology and society

Amidst the global digital transformation of educational institutions, digital technology has emerged as a significant area of interest among scholars. Such technologies have played an instrumental role in enhancing learner performance and improving the effectiveness of teaching and learning. These digital technologies also ensure the sustainability and stability of education during the epidemic. Despite this, a dearth of systematic reviews exists regarding the current state of digital technology application in education. To address this gap, this study utilized the Web of Science Core Collection as a data source (specifically selecting the high-quality SSCI and SCIE) and implemented a topic search by setting keywords, yielding 1849 initial publications. Furthermore, following the PRISMA guidelines, we refined the selection to 588 high-quality articles. Using software tools such as CiteSpace, VOSviewer, and Charticulator, we reviewed these 588 publications to identify core authors (such as Selwyn, Henderson, Edwards), highly productive countries/regions (England, Australia, USA), key institutions (Monash University, Australian Catholic University), and crucial journals in the field ( Education and Information Technologies , Computers & Education , British Journal of Educational Technology ). Evolutionary analysis reveals four developmental periods in the research field of digital technology education application: the embryonic period, the preliminary development period, the key exploration, and the acceleration period of change. The study highlights the dual influence of technological factors and historical context on the research topic. Technology is a key factor in enabling education to transform and upgrade, and the context of the times is an important driving force in promoting the adoption of new technologies in the education system and the transformation and upgrading of education. Additionally, the study identifies three frontier hotspots in the field: physical education, digital transformation, and professional development under the promotion of digital technology. This study presents a clear framework for digital technology application in education, which can serve as a valuable reference for researchers and educational practitioners concerned with digital technology education application in theory and practice.

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Introduction.

Digital technology has become an essential component of modern education, facilitating the extension of temporal and spatial boundaries and enriching the pedagogical contexts (Selwyn and Facer, 2014 ). The advent of mobile communication technology has enabled learning through social media platforms (Szeto et al. 2015 ; Pires et al. 2022 ), while the advancement of augmented reality technology has disrupted traditional conceptions of learning environments and spaces (Perez-Sanagustin et al., 2014 ; Kyza and Georgiou, 2018 ). A wide range of digital technologies has enabled learning to become a norm in various settings, including the workplace (Sjöberg and Holmgren, 2021 ), home (Nazare et al. 2022 ), and online communities (Tang and Lam, 2014 ). Education is no longer limited to fixed locations and schedules, but has permeated all aspects of life, allowing learning to continue at any time and any place (Camilleri and Camilleri, 2016 ; Selwyn and Facer, 2014 ).

The advent of digital technology has led to the creation of several informal learning environments (Greenhow and Lewin, 2015 ) that exhibit divergent form, function, features, and patterns in comparison to conventional learning environments (Nygren et al. 2019 ). Consequently, the associated teaching and learning processes, as well as the strategies for the creation, dissemination, and acquisition of learning resources, have undergone a complete overhaul. The ensuing transformations have posed a myriad of novel issues, such as the optimal structuring of teaching methods by instructors and the adoption of appropriate learning strategies by students in the new digital technology environment. Consequently, an examination of the principles that underpin effective teaching and learning in this environment is a topic of significant interest to numerous scholars engaged in digital technology education research.

Over the course of the last two decades, digital technology has made significant strides in the field of education, notably in extending education time and space and creating novel educational contexts with sustainability. Despite research attempts to consolidate the application of digital technology in education, previous studies have only focused on specific aspects of digital technology, such as Pinto and Leite’s ( 2020 ) investigation into digital technology in higher education and Mustapha et al.’s ( 2021 ) examination of the role and value of digital technology in education during the pandemic. While these studies have provided valuable insights into the practical applications of digital technology in particular educational domains, they have not comprehensively explored the macro-mechanisms and internal logic of digital technology implementation in education. Additionally, these studies were conducted over a relatively brief period, making it challenging to gain a comprehensive understanding of the macro-dynamics and evolutionary process of digital technology in education. Some studies have provided an overview of digital education from an educational perspective but lack a precise understanding of technological advancement and change (Yang et al. 2022 ). Therefore, this study seeks to employ a systematic scientific approach to collate relevant research from 2000 to 2022, comprehend the internal logic and development trends of digital technology in education, and grasp the outstanding contribution of digital technology in promoting the sustainability of education in time and space. In summary, this study aims to address the following questions:

RQ1: Since the turn of the century, what is the productivity distribution of the field of digital technology education application research in terms of authorship, country/region, institutional and journal level?

RQ2: What is the development trend of research on the application of digital technology in education in the past two decades?

RQ3: What are the current frontiers of research on the application of digital technology in education?

Literature review

Although the term “digital technology” has become ubiquitous, a unified definition has yet to be agreed upon by scholars. Because the meaning of the word digital technology is closely related to the specific context. Within the educational research domain, Selwyn’s ( 2016 ) definition is widely favored by scholars (Pinto and Leite, 2020 ). Selwyn ( 2016 ) provides a comprehensive view of various concrete digital technologies and their applications in education through ten specific cases, such as immediate feedback in classes, orchestrating teaching, and community learning. Through these specific application scenarios, Selwyn ( 2016 ) argues that digital technology encompasses technologies associated with digital devices, including but not limited to tablets, smartphones, computers, and social media platforms (such as Facebook and YouTube). Furthermore, Further, the behavior of accessing the internet at any location through portable devices can be taken as an extension of the behavior of applying digital technology.

The evolving nature of digital technology has significant implications in the field of education. In the 1890s, the focus of digital technology in education was on comprehending the nuances of digital space, digital culture, and educational methodologies, with its connotations aligned more towards the idea of e-learning. The advent and subsequent widespread usage of mobile devices since the dawn of the new millennium have been instrumental in the rapid expansion of the concept of digital technology. Notably, mobile learning devices such as smartphones and tablets, along with social media platforms, have become integral components of digital technology (Conole and Alevizou, 2010 ; Batista et al. 2016 ). In recent times, the burgeoning application of AI technology in the education sector has played a vital role in enriching the digital technology lexicon (Banerjee et al. 2021 ). ChatGPT, for instance, is identified as a novel educational technology that has immense potential to revolutionize future education (Rospigliosi, 2023 ; Arif, Munaf and Ul-Haque, 2023 ).

Pinto and Leite ( 2020 ) conducted a comprehensive macroscopic survey of the use of digital technologies in the education sector and identified three distinct categories, namely technologies for assessment and feedback, mobile technologies, and Information Communication Technologies (ICT). This classification criterion is both macroscopic and highly condensed. In light of the established concept definitions of digital technology in the educational research literature, this study has adopted the characterizations of digital technology proposed by Selwyn ( 2016 ) and Pinto and Leite ( 2020 ) as crucial criteria for analysis and research inclusion. Specifically, this criterion encompasses several distinct types of digital technologies, including Information and Communication Technologies (ICT), Mobile tools, eXtended Reality (XR) Technologies, Assessment and Feedback systems, Learning Management Systems (LMS), Publish and Share tools, Collaborative systems, Social media, Interpersonal Communication tools, and Content Aggregation tools.

Methodology and materials

Research method: bibliometric.

The research on econometric properties has been present in various aspects of human production and life, yet systematic scientific theoretical guidance has been lacking, resulting in disorganization. In 1969, British scholar Pritchard ( 1969 ) proposed “bibliometrics,” which subsequently emerged as an independent discipline in scientific quantification research. Initially, Pritchard defined bibliometrics as “the application of mathematical and statistical methods to books and other media of communication,” however, the definition was not entirely rigorous. To remedy this, Hawkins ( 2001 ) expanded Pritchard’s definition to “the quantitative analysis of the bibliographic features of a body of literature.” De Bellis further clarified the objectives of bibliometrics, stating that it aims to analyze and identify patterns in literature, such as the most productive authors, institutions, countries, and journals in scientific disciplines, trends in literary production over time, and collaboration networks (De Bellis, 2009 ). According to Garfield ( 2006 ), bibliometric research enables the examination of the history and structure of a field, the flow of information within the field, the impact of journals, and the citation status of publications over a longer time scale. All of these definitions illustrate the unique role of bibliometrics as a research method for evaluating specific research fields.

This study uses CiteSpace, VOSviewer, and Charticulator to analyze data and create visualizations. Each of these three tools has its own strengths and can complement each other. CiteSpace and VOSviewer use set theory and probability theory to provide various visualization views in fields such as keywords, co-occurrence, and co-authors. They are easy to use and produce visually appealing graphics (Chen, 2006 ; van Eck and Waltman, 2009 ) and are currently the two most widely used bibliometric tools in the field of visualization (Pan et al. 2018 ). In this study, VOSviewer provided the data necessary for the Performance Analysis; Charticulator was then used to redraw using the tabular data exported from VOSviewer (for creating the chord diagram of country collaboration); this was to complement the mapping process, while CiteSpace was primarily utilized to generate keyword maps and conduct burst word analysis.

Data retrieval

This study selected documents from the Science Citation Index Expanded (SCIE) and Social Science Citation Index (SSCI) in the Web of Science Core Collection as the data source, for the following reasons:

(1) The Web of Science Core Collection, as a high-quality digital literature resource database, has been widely accepted by many researchers and is currently considered the most suitable database for bibliometric analysis (Jing et al. 2023a ). Compared to other databases, Web of Science provides more comprehensive data information (Chen et al. 2022a ), and also provides data formats suitable for analysis using VOSviewer and CiteSpace (Gaviria-Marin et al. 2019 ).

(2) The application of digital technology in the field of education is an interdisciplinary research topic, involving technical knowledge literature belonging to the natural sciences and education-related literature belonging to the social sciences. Therefore, it is necessary to select Science Citation Index Expanded (SCIE) and Social Science Citation Index (SSCI) as the sources of research data, ensuring the comprehensiveness of data while ensuring the reliability and persuasiveness of bibliometric research (Hwang and Tsai, 2011 ; Wang et al. 2022 ).

After establishing the source of research data, it is necessary to determine a retrieval strategy (Jing et al. 2023b ). The choice of a retrieval strategy should consider a balance between the breadth and precision of the search formula. That is to say, it should encompass all the literature pertaining to the research topic while excluding irrelevant documents as much as possible. In light of this, this study has set a retrieval strategy informed by multiple related papers (Mustapha et al. 2021 ; Luo et al. 2021 ). The research by Mustapha et al. ( 2021 ) guided us in selecting keywords (“digital” AND “technolog*”) to target digital technology, while Luo et al. ( 2021 ) informed the selection of terms (such as “instruct*,” “teach*,” and “education”) to establish links with the field of education. Then, based on the current application of digital technology in the educational domain and the scope of selection criteria, we constructed the final retrieval strategy. Following the general patterns of past research (Jing et al. 2023a , 2023b ), we conducted a specific screening using the topic search (Topics, TS) function in Web of Science. For the specific criteria used in the screening for this study, please refer to Table 1 .

Literature screening

Literature acquired through keyword searches may contain ostensibly related yet actually unrelated works. Therefore, to ensure the close relevance of literature included in the analysis to the research topic, it is often necessary to perform a manual screening process to identify the final literature to be analyzed, subsequent to completing the initial literature search.

The manual screening process consists of two steps. Initially, irrelevant literature is weeded out based on the title and abstract, with two members of the research team involved in this phase. This stage lasted about one week, resulting in 1106 articles being retained. Subsequently, a comprehensive review of the full text is conducted to accurately identify the literature required for the study. To carry out the second phase of manual screening effectively and scientifically, and to minimize the potential for researcher bias, the research team established the inclusion criteria presented in Table 2 . Three members were engaged in this phase, which took approximately 2 weeks, culminating in the retention of 588 articles after meticulous screening. The entire screening process is depicted in Fig. 1 , adhering to the PRISMA guidelines (Page et al. 2021 ).

The process of obtaining and filtering the necessary literature data for research.

Data standardization

Nguyen and Hallinger ( 2020 ) pointed out that raw data extracted from scientific databases often contains multiple expressions of the same term, and not addressing these synonymous expressions could affect research results in bibliometric analysis. For instance, in the original data, the author list may include “Tsai, C. C.” and “Tsai, C.-C.”, while the keyword list may include “professional-development” and “professional development,” which often require merging. Therefore, before analyzing the selected literature, a data disambiguation process is necessary to standardize the data (Strotmann and Zhao, 2012 ; Van Eck and Waltman, 2019 ). This study adopted the data standardization process proposed by Taskin and Al ( 2019 ), mainly including the following standardization operations:

Firstly, the author and source fields in the data are corrected and standardized to differentiate authors with similar names.

Secondly, the study checks whether the journals to which the literature belongs have been renamed in the past over 20 years, so as to avoid the influence of periodical name change on the analysis results.

Finally, the keyword field is standardized by unifying parts of speech and singular/plural forms of keywords, which can help eliminate redundant entries in the knowledge graph.

Performance analysis (RQ1)

This section offers a thorough and detailed analysis of the state of research in the field of digital technology education. By utilizing descriptive statistics and visual maps, it provides a comprehensive overview of the development trends, authors, countries, institutions, and journal distribution within the field. The insights presented in this section are of great significance in advancing our understanding of the current state of research in this field and identifying areas for further investigation. The use of visual aids to display inter-country cooperation and the evolution of the field adds to the clarity and coherence of the analysis.

Time trend of the publications

To understand a research field, it is first necessary to understand the most basic quantitative information, among which the change in the number of publications per year best reflects the development trend of a research field. Figure 2 shows the distribution of publication dates.

Time trend of the publications on application of digital technology in education.

From the Fig. 2 , it can be seen that the development of this field over the past over 20 years can be roughly divided into three stages. The first stage was from 2000 to 2007, during which the number of publications was relatively low. Due to various factors such as technological maturity, the academic community did not pay widespread attention to the role of digital technology in expanding the scope of teaching and learning. The second stage was from 2008 to 2019, during which the overall number of publications showed an upward trend, and the development of the field entered an accelerated period, attracting more and more scholars’ attention. The third stage was from 2020 to 2022, during which the number of publications stabilized at around 100. During this period, the impact of the pandemic led to a large number of scholars focusing on the role of digital technology in education during the pandemic, and research on the application of digital technology in education became a core topic in social science research.

Analysis of authors

An analysis of the author’s publication volume provides information about the representative scholars and core research strengths of a research area. Table 3 presents information on the core authors in adaptive learning research, including name, publication number, and average number of citations per article (based on the analysis and statistics from VOSviewer).

Variations in research foci among scholars abound. Within the field of digital technology education application research over the past two decades, Neil Selwyn stands as the most productive author, having published 15 papers garnering a total of 1027 citations, resulting in an average of 68.47 citations per paper. As a Professor at the Faculty of Education at Monash University, Selwyn concentrates on exploring the application of digital technology in higher education contexts (Selwyn et al. 2021 ), as well as related products in higher education such as Coursera, edX, and Udacity MOOC platforms (Bulfin et al. 2014 ). Selwyn’s contributions to the educational sociology perspective include extensive research on the impact of digital technology on education, highlighting the spatiotemporal extension of educational processes and practices through technological means as the greatest value of educational technology (Selwyn, 2012 ; Selwyn and Facer, 2014 ). In addition, he provides a blueprint for the development of future schools in 2030 based on the present impact of digital technology on education (Selwyn et al. 2019 ). The second most productive author in this field, Henderson, also offers significant contributions to the understanding of the important value of digital technology in education, specifically in the higher education setting, with a focus on the impact of the pandemic (Henderson et al. 2015 ; Cohen et al. 2022 ). In contrast, Edwards’ research interests focus on early childhood education, particularly the application of digital technology in this context (Edwards, 2013 ; Bird and Edwards, 2015 ). Additionally, on the technical level, Edwards also mainly prefers digital game technology, because it is a digital technology that children are relatively easy to accept (Edwards, 2015 ).

Analysis of countries/regions and organization

The present study aimed to ascertain the leading countries in digital technology education application research by analyzing 75 countries related to 558 works of literature. Table 4 depicts the top ten countries that have contributed significantly to this field in terms of publication count (based on the analysis and statistics from VOSviewer). Our analysis of Table 4 data shows that England emerged as the most influential country/region, with 92 published papers and 2401 citations. Australia and the United States secured the second and third ranks, respectively, with 90 papers (2187 citations) and 70 papers (1331 citations) published. Geographically, most of the countries featured in the top ten publication volumes are situated in Australia, North America, and Europe, with China being the only exception. Notably, all these countries, except China, belong to the group of developed nations, suggesting that economic strength is a prerequisite for fostering research in the digital technology education application field.

This study presents a visual representation of the publication output and cooperation relationships among different countries in the field of digital technology education application research. Specifically, a chord diagram is employed to display the top 30 countries in terms of publication output, as depicted in Fig. 3 . The chord diagram is composed of nodes and chords, where the nodes are positioned as scattered points along the circumference, and the length of each node corresponds to the publication output, with longer lengths indicating higher publication output. The chords, on the other hand, represent the cooperation relationships between any two countries, and are weighted based on the degree of closeness of the cooperation, with wider chords indicating closer cooperation. Through the analysis of the cooperation relationships, the findings suggest that the main publishing countries in this field are engaged in cooperative relationships with each other, indicating a relatively high level of international academic exchange and research internationalization.

In the diagram, nodes are scattered along the circumference of a circle, with the length of each node representing the volume of publications. The weighted arcs connecting any two points on the circle are known as chords, representing the collaborative relationship between the two, with the width of the arc indicating the closeness of the collaboration.

Further analyzing Fig. 3 , we can extract more valuable information, enabling a deeper understanding of the connections between countries in the research field of digital technology in educational applications. It is evident that certain countries, such as the United States, China, and England, display thicker connections, indicating robust collaborative relationships in terms of productivity. These thicker lines signify substantial mutual contributions and shared objectives in certain sectors or fields, highlighting the interconnectedness and global integration in these areas. By delving deeper, we can also explore potential future collaboration opportunities through the chord diagram, identifying possible partners to propel research and development in this field. In essence, the chord diagram successfully encapsulates and conveys the multi-dimensionality of global productivity and cooperation, allowing for a comprehensive understanding of the intricate inter-country relationships and networks in a global context, providing valuable guidance and insights for future research and collaborations.

An in-depth examination of the publishing institutions is provided in Table 5 , showcasing the foremost 10 institutions ranked by their publication volume. Notably, Monash University and Australian Catholic University, situated in Australia, have recorded the most prolific publications within the digital technology education application realm, with 22 and 10 publications respectively. Moreover, the University of Oslo from Norway is featured among the top 10 publishing institutions, with an impressive average citation count of 64 per publication. It is worth highlighting that six institutions based in the United Kingdom were also ranked within the top 10 publishing institutions, signifying their leading position in this area of research.

Analysis of journals

Journals are the main carriers for publishing high-quality papers. Some scholars point out that the two key factors to measure the influence of journals in the specified field are the number of articles published and the number of citations. The more papers published in a magazine and the more citations, the greater its influence (Dzikowski, 2018 ). Therefore, this study utilized VOSviewer to statistically analyze the top 10 journals with the most publications in the field of digital technology in education and calculated the average citations per article (see Table 6 ).

Based on Table 6 , it is apparent that the highest number of articles in the domain of digital technology in education research were published in Education and Information Technologies (47 articles), Computers & Education (34 articles), and British Journal of Educational Technology (32 articles), indicating a higher article output compared to other journals. This underscores the fact that these three journals concentrate more on the application of digital technology in education. Furthermore, several other journals, such as Technology Pedagogy and Education and Sustainability, have published more than 15 articles in this domain. Sustainability represents the open access movement, which has notably facilitated research progress in this field, indicating that the development of open access journals in recent years has had a significant impact. Although there is still considerable disagreement among scholars on the optimal approach to achieve open access, the notion that research outcomes should be accessible to all is widely recognized (Huang et al. 2020 ). On further analysis of the research fields to which these journals belong, except for Sustainability, it is evident that they all pertain to educational technology, thus providing a qualitative definition of the research area of digital technology education from the perspective of journals.

Temporal keyword analysis: thematic evolution (RQ2)

The evolution of research themes is a dynamic process, and previous studies have attempted to present the developmental trajectory of fields by drawing keyword networks in phases (Kumar et al. 2021 ; Chen et al. 2022b ). To understand the shifts in research topics across different periods, this study follows past research and, based on the significant changes in the research field and corresponding technological advancements during the outlined periods, divides the timeline into four stages (the first stage from January 2000 to December 2005, the second stage from January 2006 to December 2011, the third stage from January 2012 to December 2017; and the fourth stage from January 2018 to December 2022). The division into these four stages was determined through a combination of bibliometric analysis and literature review, which presented a clear trajectory of the field’s development. The research analyzes the keyword networks for each time period (as there are only three articles in the first stage, it was not possible to generate an appropriate keyword co-occurrence map, hence only the keyword co-occurrence maps from the second to the fourth stages are provided), to understand the evolutionary track of the digital technology education application research field over time.

2000.1–2005.12: germination period

From January 2000 to December 2005, digital technology education application research was in its infancy. Only three studies focused on digital technology, all of which were related to computers. Due to the popularity of computers, the home became a new learning environment, highlighting the important role of digital technology in expanding the scope of learning spaces (Sutherland et al. 2000 ). In specific disciplines and contexts, digital technology was first favored in medical clinical practice, becoming an important tool for supporting the learning of clinical knowledge and practice (Tegtmeyer et al. 2001 ; Durfee et al. 2003 ).

2006.1–2011.12: initial development period

Between January 2006 and December 2011, it was the initial development period of digital technology education research. Significant growth was observed in research related to digital technology, and discussions and theoretical analyses about “digital natives” emerged. During this phase, scholars focused on the debate about “how to use digital technology reasonably” and “whether current educational models and school curriculum design need to be adjusted on a large scale” (Bennett and Maton, 2010 ; Selwyn, 2009 ; Margaryan et al. 2011 ). These theoretical and speculative arguments provided a unique perspective on the impact of cognitive digital technology on education and teaching. As can be seen from the vocabulary such as “rethinking”, “disruptive pedagogy”, and “attitude” in Fig. 4 , many scholars joined the calm reflection and analysis under the trend of digital technology (Laurillard, 2008 ; Vratulis et al. 2011 ). During this phase, technology was still undergoing dramatic changes. The development of mobile technology had already caught the attention of many scholars (Wong et al. 2011 ), but digital technology represented by computers was still very active (Selwyn et al. 2011 ). The change in technological form would inevitably lead to educational transformation. Collins and Halverson ( 2010 ) summarized the prospects and challenges of using digital technology for learning and educational practices, believing that digital technology would bring a disruptive revolution to the education field and bring about a new educational system. In addition, the term “teacher education” in Fig. 4 reflects the impact of digital technology development on teachers. The rapid development of technology has widened the generation gap between teachers and students. To ensure smooth communication between teachers and students, teachers must keep up with the trend of technological development and establish a lifelong learning concept (Donnison, 2009 ).

In the diagram, each node represents a keyword, with the size of the node indicating the frequency of occurrence of the keyword. The connections represent the co-occurrence relationships between keywords, with a higher frequency of co-occurrence resulting in tighter connections.

2012.1–2017.12: critical exploration period

During the period spanning January 2012 to December 2017, the application of digital technology in education research underwent a significant exploration phase. As can be seen from Fig. 5 , different from the previous stage, the specific elements of specific digital technology have started to increase significantly, including the enrichment of technological contexts, the greater variety of research methods, and the diversification of learning modes. Moreover, the temporal and spatial dimensions of the learning environment were further de-emphasized, as noted in previous literature (Za et al. 2014 ). Given the rapidly accelerating pace of technological development, the education system in the digital era is in urgent need of collaborative evolution and reconstruction, as argued by Davis, Eickelmann, and Zaka ( 2013 ).

In the domain of digital technology, social media has garnered substantial scholarly attention as a promising avenue for learning, as noted by Pasquini and Evangelopoulos ( 2016 ). The implementation of social media in education presents several benefits, including the liberation of education from the restrictions of physical distance and time, as well as the erasure of conventional educational boundaries. The user-generated content (UGC) model in social media has emerged as a crucial source for knowledge creation and distribution, with the widespread adoption of mobile devices. Moreover, social networks have become an integral component of ubiquitous learning environments (Hwang et al. 2013 ). The utilization of social media allows individuals to function as both knowledge producers and recipients, which leads to a blurring of the conventional roles of learners and teachers. On mobile platforms, the roles of learners and teachers are not fixed, but instead interchangeable.

In terms of research methodology, the prevalence of empirical studies with survey designs in the field of educational technology during this period is evident from the vocabulary used, such as “achievement,” “acceptance,” “attitude,” and “ict.” in Fig. 5 . These studies aim to understand learners’ willingness to adopt and attitudes towards new technologies, and some seek to investigate the impact of digital technologies on learning outcomes through quasi-experimental designs (Domínguez et al. 2013 ). Among these empirical studies, mobile learning emerged as a hot topic, and this is not surprising. First, the advantages of mobile learning environments over traditional ones have been empirically demonstrated (Hwang et al. 2013 ). Second, learners born around the turn of the century have been heavily influenced by digital technologies and have developed their own learning styles that are more open to mobile devices as a means of learning. Consequently, analyzing mobile learning as a relatively novel mode of learning has become an important issue for scholars in the field of educational technology.

The intervention of technology has led to the emergence of several novel learning modes, with the blended learning model being the most representative one in the current phase. Blended learning, a novel concept introduced in the information age, emphasizes the integration of the benefits of traditional learning methods and online learning. This learning mode not only highlights the prominent role of teachers in guiding, inspiring, and monitoring the learning process but also underlines the importance of learners’ initiative, enthusiasm, and creativity in the learning process. Despite being an early conceptualization, blended learning’s meaning has been expanded by the widespread use of mobile technology and social media in education. The implementation of new technologies, particularly mobile devices, has resulted in the transformation of curriculum design and increased flexibility and autonomy in students’ learning processes (Trujillo Maza et al. 2016 ), rekindling scholarly attention to this learning mode. However, some scholars have raised concerns about the potential drawbacks of the blended learning model, such as its significant impact on the traditional teaching system, the lack of systematic coping strategies and relevant policies in several schools and regions (Moskal et al. 2013 ).

2018.1–2022.12: accelerated transformation period

The period spanning from January 2018 to December 2022 witnessed a rapid transformation in the application of digital technology in education research. The field of digital technology education research reached a peak period of publication, largely influenced by factors such as the COVID-19 pandemic (Yu et al. 2023 ). Research during this period was built upon the achievements, attitudes, and social media of the previous phase, and included more elements that reflect the characteristics of this research field, such as digital literacy, digital competence, and professional development, as depicted in Fig. 6 . Alongside this, scholars’ expectations for the value of digital technology have expanded, and the pursuit of improving learning efficiency and performance is no longer the sole focus. Some research now aims to cultivate learners’ motivation and enhance their self-efficacy by applying digital technology in a reasonable manner, as demonstrated by recent studies (Beardsley et al. 2021 ; Creely et al. 2021 ).

The COVID-19 pandemic has emerged as a crucial backdrop for the digital technology’s role in sustaining global education, as highlighted by recent scholarly research (Zhou et al. 2022 ; Pan and Zhang, 2020 ; Mo et al. 2022 ). The online learning environment, which is supported by digital technology, has become the primary battleground for global education (Yu, 2022 ). This social context has led to various studies being conducted, with some scholars positing that the pandemic has impacted the traditional teaching order while also expanding learning possibilities in terms of patterns and forms (Alabdulaziz, 2021 ). Furthermore, the pandemic has acted as a catalyst for teacher teaching and technological innovation, and this viewpoint has been empirically substantiated (Moorhouse and Wong, 2021 ). Additionally, some scholars believe that the pandemic’s push is a crucial driving force for the digital transformation of the education system, serving as an essential mechanism for overcoming the system’s inertia (Romero et al. 2021 ).

The rapid outbreak of the pandemic posed a challenge to the large-scale implementation of digital technologies, which was influenced by a complex interplay of subjective and objective factors. Objective constraints included the lack of infrastructure in some regions to support digital technologies, while subjective obstacles included psychological resistance among certain students and teachers (Moorhouse, 2021 ). These factors greatly impacted the progress of online learning during the pandemic. Additionally, Timotheou et al. ( 2023 ) conducted a comprehensive systematic review of existing research on digital technology use during the pandemic, highlighting the critical role played by various factors such as learners’ and teachers’ digital skills, teachers’ personal attributes and professional development, school leadership and management, and administration in facilitating the digitalization and transformation of schools.

The current stage of research is characterized by the pivotal term “digital literacy,” denoting a growing interest in learners’ attitudes and adoption of emerging technologies. Initially, the term “literacy” was restricted to fundamental abilities and knowledge associated with books and print materials (McMillan, 1996 ). However, with the swift advancement of computers and digital technology, there have been various attempts to broaden the scope of literacy beyond its traditional meaning, including game literacy (Buckingham and Burn, 2007 ), information literacy (Eisenberg, 2008 ), and media literacy (Turin and Friesem, 2020 ). Similarly, digital literacy has emerged as a crucial concept, and Gilster and Glister ( 1997 ) were the first to introduce this concept, referring to the proficiency in utilizing technology and processing digital information in academic, professional, and daily life settings. In practical educational settings, learners who possess higher digital literacy often exhibit an aptitude for quickly mastering digital devices and applying them intelligently to education and teaching (Yu, 2022 ).

The utilization of digital technology in education has undergone significant changes over the past two decades, and has been a crucial driver of educational reform with each new technological revolution. The impact of these changes on the underlying logic of digital technology education applications has been noticeable. From computer technology to more recent developments such as virtual reality (VR), augmented reality (AR), and artificial intelligence (AI), the acceleration in digital technology development has been ongoing. Educational reforms spurred by digital technology development continue to be dynamic, as each new digital innovation presents new possibilities and models for teaching practice. This is especially relevant in the post-pandemic era, where the importance of technological progress in supporting teaching cannot be overstated (Mughal et al. 2022 ). Existing digital technologies have already greatly expanded the dimensions of education in both time and space, while future digital technologies aim to expand learners’ perceptions. Researchers have highlighted the potential of integrated technology and immersive technology in the development of the educational metaverse, which is highly anticipated to create a new dimension for the teaching and learning environment, foster a new value system for the discipline of educational technology, and more effectively and efficiently achieve the grand educational blueprint of the United Nations’ Sustainable Development Goals (Zhang et al. 2022 ; Li and Yu, 2023 ).

Hotspot evolution analysis (RQ3)

The examination of keyword evolution reveals a consistent trend in the advancement of digital technology education application research. The emergence and transformation of keywords serve as indicators of the varying research interests in this field. Thus, the utilization of the burst detection function available in CiteSpace allowed for the identification of the top 10 burst words that exhibited a high level of burst strength. This outcome is illustrated in Table 7 .

According to the results presented in Table 7 , the explosive terminology within the realm of digital technology education research has exhibited a concentration mainly between the years 2018 and 2022. Prior to this time frame, the emerging keywords were limited to “information technology” and “computer”. Notably, among them, computer, as an emergent keyword, has always had a high explosive intensity from 2008 to 2018, which reflects the important position of computer in digital technology and is the main carrier of many digital technologies such as Learning Management Systems (LMS) and Assessment and Feedback systems (Barlovits et al. 2022 ).

Since 2018, an increasing number of research studies have focused on evaluating the capabilities of learners to accept, apply, and comprehend digital technologies. As indicated by the use of terms such as “digital literacy” and “digital skill,” the assessment of learners’ digital literacy has become a critical task. Scholarly efforts have been directed towards the development of literacy assessment tools and the implementation of empirical assessments. Furthermore, enhancing the digital literacy of both learners and educators has garnered significant attention. (Nagle, 2018 ; Yu, 2022 ). Simultaneously, given the widespread use of various digital technologies in different formal and informal learning settings, promoting learners’ digital skills has become a crucial objective for contemporary schools (Nygren et al. 2019 ; Forde and OBrien, 2022 ).

Since 2020, the field of applied research on digital technology education has witnessed the emergence of three new hotspots, all of which have been affected to some extent by the pandemic. Firstly, digital technology has been widely applied in physical education, which is one of the subjects that has been severely affected by the pandemic (Parris et al. 2022 ; Jiang and Ning, 2022 ). Secondly, digital transformation has become an important measure for most schools, especially higher education institutions, to cope with the impact of the pandemic globally (García-Morales et al. 2021 ). Although the concept of digital transformation was proposed earlier, the COVID-19 pandemic has greatly accelerated this transformation process. Educational institutions must carefully redesign their educational products to face this new situation, providing timely digital learning methods, environments, tools, and support systems that have far-reaching impacts on modern society (Krishnamurthy, 2020 ; Salas-Pilco et al. 2022 ). Moreover, the professional development of teachers has become a key mission of educational institutions in the post-pandemic era. Teachers need to have a certain level of digital literacy and be familiar with the tools and online teaching resources used in online teaching, which has become a research hotspot today. Organizing digital skills training for teachers to cope with the application of emerging technologies in education is an important issue for teacher professional development and lifelong learning (Garzón-Artacho et al. 2021 ). As the main organizers and practitioners of emergency remote teaching (ERT) during the pandemic, teachers must put cognitive effort into their professional development to ensure effective implementation of ERT (Romero-Hall and Jaramillo Cherrez, 2022 ).

The burst word “digital transformation” reveals that we are in the midst of an ongoing digital technology revolution. With the emergence of innovative digital technologies such as ChatGPT and Microsoft 365 Copilot, technology trends will continue to evolve, albeit unpredictably. While the impact of these advancements on school education remains uncertain, it is anticipated that the widespread integration of technology will significantly affect the current education system. Rejecting emerging technologies without careful consideration is unwise. Like any revolution, the technological revolution in the education field has both positive and negative aspects. Detractors argue that digital technology disrupts learning and memory (Baron, 2021 ) or causes learners to become addicted and distracted from learning (Selwyn and Aagaard, 2020 ). On the other hand, the prudent use of digital technology in education offers a glimpse of a golden age of open learning. Educational leaders and practitioners have the opportunity to leverage cutting-edge digital technologies to address current educational challenges and develop a rational path for the sustainable and healthy growth of education.

Discussion on performance analysis (RQ1)

The field of digital technology education application research has experienced substantial growth since the turn of the century, a phenomenon that is quantifiably apparent through an analysis of authorship, country/region contributions, and institutional engagement. This expansion reflects the increased integration of digital technologies in educational settings and the heightened scholarly interest in understanding and optimizing their use.

Discussion on authorship productivity in digital technology education research

The authorship distribution within digital technology education research is indicative of the field’s intellectual structure and depth. A primary figure in this domain is Neil Selwyn, whose substantial citation rate underscores the profound impact of his work. His focus on the implications of digital technology in higher education and educational sociology has proven to be seminal. Selwyn’s research trajectory, especially the exploration of spatiotemporal extensions of education through technology, provides valuable insights into the multifaceted role of digital tools in learning processes (Selwyn et al. 2019 ).

Other notable contributors, like Henderson and Edwards, present diversified research interests, such as the impact of digital technologies during the pandemic and their application in early childhood education, respectively. Their varied focuses highlight the breadth of digital technology education research, encompassing pedagogical innovation, technological adaptation, and policy development.

Discussion on country/region-level productivity and collaboration

At the country/region level, the United Kingdom, specifically England, emerges as a leading contributor with 92 published papers and a significant citation count. This is closely followed by Australia and the United States, indicating a strong English-speaking research axis. Such geographical concentration of scholarly output often correlates with investment in research and development, technological infrastructure, and the prevalence of higher education institutions engaging in cutting-edge research.

China’s notable inclusion as the only non-Western country among the top contributors to the field suggests a growing research capacity and interest in digital technology in education. However, the lower average citation per paper for China could reflect emerging engagement or different research focuses that may not yet have achieved the same international recognition as Western counterparts.

The chord diagram analysis furthers this understanding, revealing dense interconnections between countries like the United States, China, and England, which indicates robust collaborations. Such collaborations are fundamental in addressing global educational challenges and shaping international research agendas.

Discussion on institutional-level contributions to digital technology education

Institutional productivity in digital technology education research reveals a constellation of universities driving the field forward. Monash University and the Australian Catholic University have the highest publication output, signaling Australia’s significant role in advancing digital education research. The University of Oslo’s remarkable average citation count per publication indicates influential research contributions, potentially reflecting high-quality studies that resonate with the broader academic community.

The strong showing of UK institutions, including the University of London, The Open University, and the University of Cambridge, reinforces the UK’s prominence in this research field. Such institutions are often at the forefront of pedagogical innovation, benefiting from established research cultures and funding mechanisms that support sustained inquiry into digital education.

Discussion on journal publication analysis

An examination of journal outputs offers a lens into the communicative channels of the field’s knowledge base. Journals such as Education and Information Technologies , Computers & Education , and the British Journal of Educational Technology not only serve as the primary disseminators of research findings but also as indicators of research quality and relevance. The impact factor (IF) serves as a proxy for the quality and influence of these journals within the academic community.

The high citation counts for articles published in Computers & Education suggest that research disseminated through this medium has a wide-reaching impact and is of particular interest to the field. This is further evidenced by its significant IF of 11.182, indicating that the journal is a pivotal platform for seminal work in the application of digital technology in education.

The authorship, regional, and institutional productivity in the field of digital technology education application research collectively narrate the evolution of this domain since the turn of the century. The prominence of certain authors and countries underscores the importance of socioeconomic factors and existing academic infrastructure in fostering research productivity. Meanwhile, the centrality of specific journals as outlets for high-impact research emphasizes the role of academic publishing in shaping the research landscape.

As the field continues to grow, future research may benefit from leveraging the collaborative networks that have been elucidated through this analysis, perhaps focusing on underrepresented regions to broaden the scope and diversity of research. Furthermore, the stabilization of publication numbers in recent years invites a deeper exploration into potential plateaus in research trends or saturation in certain sub-fields, signaling an opportunity for novel inquiries and methodological innovations.

Discussion on the evolutionary trends (RQ2)

The evolution of the research field concerning the application of digital technology in education over the past two decades is a story of convergence, diversification, and transformation, shaped by rapid technological advancements and shifting educational paradigms.

At the turn of the century, the inception of digital technology in education was largely exploratory, with a focus on how emerging computer technologies could be harnessed to enhance traditional learning environments. Research from this early period was primarily descriptive, reflecting on the potential and challenges of incorporating digital tools into the educational setting. This phase was critical in establishing the fundamental discourse that would guide subsequent research, as it set the stage for understanding the scope and impact of digital technology in learning spaces (Wang et al. 2023 ).

As the first decade progressed, the narrative expanded to encompass the pedagogical implications of digital technologies. This was a period of conceptual debates, where terms like “digital natives” and “disruptive pedagogy” entered the academic lexicon, underscoring the growing acknowledgment of digital technology as a transformative force within education (Bennett and Maton, 2010 ). During this time, the research began to reflect a more nuanced understanding of the integration of technology, considering not only its potential to change where and how learning occurred but also its implications for educational equity and access.

In the second decade, with the maturation of internet connectivity and mobile technology, the focus of research shifted from theoretical speculations to empirical investigations. The proliferation of digital devices and the ubiquity of social media influenced how learners interacted with information and each other, prompting a surge in studies that sought to measure the impact of these tools on learning outcomes. The digital divide and issues related to digital literacy became central concerns, as scholars explored the varying capacities of students and educators to engage with technology effectively.

Throughout this period, there was an increasing emphasis on the individualization of learning experiences, facilitated by adaptive technologies that could cater to the unique needs and pacing of learners (Jing et al. 2023a ). This individualization was coupled with a growing recognition of the importance of collaborative learning, both online and offline, and the role of digital tools in supporting these processes. Blended learning models, which combined face-to-face instruction with online resources, emerged as a significant trend, advocating for a balance between traditional pedagogies and innovative digital strategies.

The later years, particularly marked by the COVID-19 pandemic, accelerated the necessity for digital technology in education, transforming it from a supplementary tool to an essential platform for delivering education globally (Mo et al. 2022 ; Mustapha et al. 2021 ). This era brought about an unprecedented focus on online learning environments, distance education, and virtual classrooms. Research became more granular, examining not just the pedagogical effectiveness of digital tools, but also their role in maintaining continuity of education during crises, their impact on teacher and student well-being, and their implications for the future of educational policy and infrastructure.

Across these two decades, the research field has seen a shift from examining digital technology as an external addition to the educational process, to viewing it as an integral component of curriculum design, instructional strategies, and even assessment methods. The emergent themes have broadened from a narrow focus on specific tools or platforms to include wider considerations such as data privacy, ethical use of technology, and the environmental impact of digital tools.

Moreover, the field has moved from considering the application of digital technology in education as a primarily cognitive endeavor to recognizing its role in facilitating socio-emotional learning, digital citizenship, and global competencies. Researchers have increasingly turned their attention to the ways in which technology can support collaborative skills, cultural understanding, and ethical reasoning within diverse student populations.

In summary, the past over twenty years in the research field of digital technology applications in education have been characterized by a progression from foundational inquiries to complex analyses of digital integration. This evolution has mirrored the trajectory of technology itself, from a facilitative tool to a pervasive ecosystem defining contemporary educational experiences. As we look to the future, the field is poised to delve into the implications of emerging technologies like AI, AR, and VR, and their potential to redefine the educational landscape even further. This ongoing metamorphosis suggests that the application of digital technology in education will continue to be a rich area of inquiry, demanding continual adaptation and forward-thinking from educators and researchers alike.

Discussion on the study of research hotspots (RQ3)

The analysis of keyword evolution in digital technology education application research elucidates the current frontiers in the field, reflecting a trajectory that is in tandem with the rapidly advancing digital age. This landscape is sculpted by emergent technological innovations and shaped by the demands of an increasingly digital society.

Interdisciplinary integration and pedagogical transformation

One of the frontiers identified from recent keyword bursts includes the integration of digital technology into diverse educational contexts, particularly noted with the keyword “physical education.” The digitalization of disciplines traditionally characterized by physical presence illustrates the pervasive reach of technology and signifies a push towards interdisciplinary integration where technology is not only a facilitator but also a transformative agent. This integration challenges educators to reconceptualize curriculum delivery to accommodate digital tools that can enhance or simulate the physical aspects of learning.

Digital literacy and skills acquisition

Another pivotal frontier is the focus on “digital literacy” and “digital skill”, which has intensified in recent years. This suggests a shift from mere access to technology towards a comprehensive understanding and utilization of digital tools. In this realm, the emphasis is not only on the ability to use technology but also on critical thinking, problem-solving, and the ethical use of digital resources (Yu, 2022 ). The acquisition of digital literacy is no longer an additive skill but a fundamental aspect of modern education, essential for navigating and contributing to the digital world.

Educational digital transformation

The keyword “digital transformation” marks a significant research frontier, emphasizing the systemic changes that education institutions must undergo to align with the digital era (Romero et al. 2021 ). This transformation includes the redesigning of learning environments, pedagogical strategies, and assessment methods to harness digital technology’s full potential. Research in this area explores the complexity of institutional change, addressing the infrastructural, cultural, and policy adjustments needed for a seamless digital transition.

Engagement and participation

Further exploration into “engagement” and “participation” underscores the importance of student-centered learning environments that are mediated by technology. The current frontiers examine how digital platforms can foster collaboration, inclusivity, and active learning, potentially leading to more meaningful and personalized educational experiences. Here, the use of technology seeks to support the emotional and cognitive aspects of learning, moving beyond the transactional view of education to one that is relational and interactive.

Professional development and teacher readiness

As the field evolves, “professional development” emerges as a crucial area, particularly in light of the pandemic which necessitated emergency remote teaching. The need for teacher readiness in a digital age is a pressing frontier, with research focusing on the competencies required for educators to effectively integrate technology into their teaching practices. This includes familiarity with digital tools, pedagogical innovation, and an ongoing commitment to personal and professional growth in the digital domain.

Pandemic as a catalyst

The recent pandemic has acted as a catalyst for accelerated research and application in this field, particularly in the domains of “digital transformation,” “professional development,” and “physical education.” This period has been a litmus test for the resilience and adaptability of educational systems to continue their operations in an emergency. Research has thus been directed at understanding how digital technologies can support not only continuity but also enhance the quality and reach of education in such contexts.

Ethical and societal considerations

The frontier of digital technology in education is also expanding to consider broader ethical and societal implications. This includes issues of digital equity, data privacy, and the sociocultural impact of technology on learning communities. The research explores how educational technology can be leveraged to address inequities and create more equitable learning opportunities for all students, regardless of their socioeconomic background.

Innovation and emerging technologies

Looking forward, the frontiers are set to be influenced by ongoing and future technological innovations, such as artificial intelligence (AI) (Wu and Yu, 2023 ; Chen et al. 2022a ). The exploration into how these technologies can be integrated into educational practices to create immersive and adaptive learning experiences represents a bold new chapter for the field.

In conclusion, the current frontiers of research on the application of digital technology in education are multifaceted and dynamic. They reflect an overarching movement towards deeper integration of technology in educational systems and pedagogical practices, where the goals are not only to facilitate learning but to redefine it. As these frontiers continue to expand and evolve, they will shape the educational landscape, requiring a concerted effort from researchers, educators, policymakers, and technologists to navigate the challenges and harness the opportunities presented by the digital revolution in education.

Conclusions and future research

Conclusions.

The utilization of digital technology in education is a research area that cuts across multiple technical and educational domains and continues to experience dynamic growth due to the continuous progress of technology. In this study, a systematic review of this field was conducted through bibliometric techniques to examine its development trajectory. The primary focus of the review was to investigate the leading contributors, productive national institutions, significant publications, and evolving development patterns. The study’s quantitative analysis resulted in several key conclusions that shed light on this research field’s current state and future prospects.

(1) The research field of digital technology education applications has entered a stage of rapid development, particularly in recent years due to the impact of the pandemic, resulting in a peak of publications. Within this field, several key authors (Selwyn, Henderson, Edwards, etc.) and countries/regions (England, Australia, USA, etc.) have emerged, who have made significant contributions. International exchanges in this field have become frequent, with a high degree of internationalization in academic research. Higher education institutions in the UK and Australia are the core productive forces in this field at the institutional level.

(2) Education and Information Technologies , Computers & Education , and the British Journal of Educational Technology are notable journals that publish research related to digital technology education applications. These journals are affiliated with the research field of educational technology and provide effective communication platforms for sharing digital technology education applications.

(3) Over the past two decades, research on digital technology education applications has progressed from its early stages of budding, initial development, and critical exploration to accelerated transformation, and it is currently approaching maturity. Technological progress and changes in the times have been key driving forces for educational transformation and innovation, and both have played important roles in promoting the continuous development of education.

(4) Influenced by the pandemic, three emerging frontiers have emerged in current research on digital technology education applications, which are physical education, digital transformation, and professional development under the promotion of digital technology. These frontier research hotspots reflect the core issues that the education system faces when encountering new technologies. The evolution of research hotspots shows that technology breakthroughs in education’s original boundaries of time and space create new challenges. The continuous self-renewal of education is achieved by solving one hotspot problem after another.

The present study offers significant practical implications for scholars and practitioners in the field of digital technology education applications. Firstly, it presents a well-defined framework of the existing research in this area, serving as a comprehensive guide for new entrants to the field and shedding light on the developmental trajectory of this research domain. Secondly, the study identifies several contemporary research hotspots, thus offering a valuable decision-making resource for scholars aiming to explore potential research directions. Thirdly, the study undertakes an exhaustive analysis of published literature to identify core journals in the field of digital technology education applications, with Sustainability being identified as a promising open access journal that publishes extensively on this topic. This finding can potentially facilitate scholars in selecting appropriate journals for their research outputs.

Limitation and future research

Influenced by some objective factors, this study also has some limitations. First of all, the bibliometrics analysis software has high standards for data. In order to ensure the quality and integrity of the collected data, the research only selects the periodical papers in SCIE and SSCI indexes, which are the core collection of Web of Science database, and excludes other databases, conference papers, editorials and other publications, which may ignore some scientific research and original opinions in the field of digital technology education and application research. In addition, although this study used professional software to carry out bibliometric analysis and obtained more objective quantitative data, the analysis and interpretation of data will inevitably have a certain subjective color, and the influence of subjectivity on data analysis cannot be completely avoided. As such, future research endeavors will broaden the scope of literature screening and proactively engage scholars in the field to gain objective and state-of-the-art insights, while minimizing the adverse impact of personal subjectivity on research analysis.

Data availability

The datasets analyzed during the current study are available in the Dataverse repository: https://doi.org/10.7910/DVN/F9QMHY

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Acknowledgements

This research was supported by the Zhejiang Provincial Social Science Planning Project, “Mechanisms and Pathways for Empowering Classroom Teaching through Learning Spaces under the Strategy of High-Quality Education Development”, the 2022 National Social Science Foundation Education Youth Project “Research on the Strategy of Creating Learning Space Value and Empowering Classroom Teaching under the background of ‘Double Reduction’” (Grant No. CCA220319) and the National College Student Innovation and Entrepreneurship Training Program of China (Grant No. 202310337023).

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Wang, C., Chen, X., Yu, T. et al. Education reform and change driven by digital technology: a bibliometric study from a global perspective. Humanit Soc Sci Commun 11 , 256 (2024). https://doi.org/10.1057/s41599-024-02717-y

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Educational Technology Research in Higher Education: New Considerations and Evolving Goals

Challenges and concerns about technology’s role in education.

Substantial and unbiased evidence regarding the effects of educational technology is scarce. The rapid evolution of technology often means it outpaces the ability of researchers and educators to thoroughly evaluate its impact on education. As a result, robust evidence regarding the added value of digital technology in educational settings is in short supply. A recently released UNESCO report on technology's use in education highlights the fact that educational technology products change every three years, on average. The lack of research is further evident in the report, which found that in the United Kingdom, only 7% of educational technology companies had conducted randomized controlled trials, and a survey of teachers and administrators in 17 U.S. states showed that only 11% requested peer-reviewed evidence prior to the adoption of technologies.

A recent meta-analysis of educational technology indicates that the research we have on educational technology is not the research we need and that "perhaps we can better transform education by fostering incremental changes through collaborative research and development with practitioners." In a story produced by The Hechinger Report , Kathryn Stack, who spent 27 years at the White House Office of Management and Budget and helped design grant programs that award money based on evidence of effectiveness, said, "[W]e're still in a place where there isn't a ton of great evidence about what works in educational technology." This lack of comprehensive research makes it challenging for faculty and leadership to make informed decisions about integrating educational technology into classrooms. Without substantial evidence on the impact of these tools, it becomes harder to determine their true value in enhancing teaching and learning experiences.

Efforts are being made by researchers and organizations to bridge this gap by conducting more rigorous studies and sharing findings through academic journals and conferences. However, the ongoing challenge will remain keeping up with the pace at which technology evolves while simultaneously providing reliable evidence of its effectiveness in educational settings.

Online content is produced by dominant groups, affecting access to it. According to the recent UNESCO report on technology in higher education, nearly 90% of content in higher education repositories with open education resource collections was created in Europe and North America; 92% of the content in the OER Commons global library is in English.

Additionally, the report suggests that massive open online courses (MOOCs) mainly benefit educated learners and those from richer countries. Still, a lot of learners enroll in those MOOCs. In 2021, the number of students enrolled in MOOCs worldwide continued to grow to over 220 million . Although this access to education is commendable, it also raises concerns regarding the regulation and quality control of online content. The lack of diversity in online content can limit perspectives and hinder inclusive learning experiences. It is crucial to ensure that digital platforms promote diverse voices and offer a wide range of educational resources that cater to different backgrounds, cultures, and learning styles.

Access to technology and to stable internet continues to be a big concern. The Tyton Partners report Time for Class 2023 found that 40% of students have experienced stress due to unstable internet connectivity and 22% have experienced stress due to not having access to a computer or laptop. Not only that, but students of color were six percentage points more likely to have experienced stress due to lack of access to devices and the internet.

The rapid growth of online content since the pandemic has brought about significant challenges in terms of equitable access, and as the data from the 2023 EDUCAUSE student and faculty technology reports show, the desire and need for online content isn't going away. Institutions will need to consider how they can best bridge the gap of access.

Research Topics & Ideas: Education

170+ Research Ideas To Fast-Track Your Project

If you’re just starting out exploring education-related topics for your dissertation, thesis or research project, you’ve come to the right place. In this post, we’ll help kickstart your research topic ideation process by providing a hearty list of research topics and ideas , including examples from actual dissertations and theses..

PS – This is just the start…

We know it’s exciting to run through a list of research topics, but please keep in mind that this list is just a starting point . To develop a suitable education-related research topic, you’ll need to identify a clear and convincing research gap , and a viable plan of action to fill that gap.

If this sounds foreign to you, check out our free research topic webinar that explores how to find and refine a high-quality research topic, from scratch. Alternatively, if you’d like hands-on help, consider our 1-on-1 coaching service .

Overview: Education Research Topics

• How to find a research topic (video)
• List of 50+ education-related research topics/ideas
• List of 120+ level-specific research topics 
• Examples of actual dissertation topics in education
• Tips to fast-track your topic ideation (video)
• Free Webinar : Topic Ideation 101
• Where to get extra help

Education-Related Research Topics & Ideas

Below you’ll find a list of education-related research topics and idea kickstarters. These are fairly broad and flexible to various contexts, so keep in mind that you will need to refine them a little. Nevertheless, they should inspire some ideas for your project.

• The impact of school funding on student achievement
• The effects of social and emotional learning on student well-being
• The effects of parental involvement on student behaviour
• The impact of teacher training on student learning
• The impact of classroom design on student learning
• The impact of poverty on education
• The use of student data to inform instruction
• The role of parental involvement in education
• The effects of mindfulness practices in the classroom
• The use of technology in the classroom
• The role of critical thinking in education
• The use of formative and summative assessments in the classroom
• The use of differentiated instruction in the classroom
• The use of gamification in education
• The effects of teacher burnout on student learning
• The impact of school leadership on student achievement
• The effects of teacher diversity on student outcomes
• The role of teacher collaboration in improving student outcomes
• The implementation of blended and online learning
• The effects of teacher accountability on student achievement
• The effects of standardized testing on student learning
• The effects of classroom management on student behaviour
• The effects of school culture on student achievement
• The use of student-centred learning in the classroom
• The impact of teacher-student relationships on student outcomes
• The achievement gap in minority and low-income students
• The use of culturally responsive teaching in the classroom
• The impact of teacher professional development on student learning
• The use of project-based learning in the classroom
• The effects of teacher expectations on student achievement
• The use of adaptive learning technology in the classroom
• The impact of teacher turnover on student learning
• The effects of teacher recruitment and retention on student learning
• The impact of early childhood education on later academic success
• The impact of parental involvement on student engagement
• The use of positive reinforcement in education
• The impact of school climate on student engagement
• The role of STEM education in preparing students for the workforce
• The effects of school choice on student achievement
• The use of technology in the form of online tutoring

Level-Specific Research Topics

Looking for research topics for a specific level of education? We’ve got you covered. Below you can find research topic ideas for primary, secondary and tertiary-level education contexts. Click the relevant level to view the respective list.

Research Topics: Pick An Education Level

Primary education.

• Investigating the effects of peer tutoring on academic achievement in primary school
• Exploring the benefits of mindfulness practices in primary school classrooms
• Examining the effects of different teaching strategies on primary school students’ problem-solving skills
• The use of storytelling as a teaching strategy in primary school literacy instruction
• The role of cultural diversity in promoting tolerance and understanding in primary schools
• The impact of character education programs on moral development in primary school students
• Investigating the use of technology in enhancing primary school mathematics education
• The impact of inclusive curriculum on promoting equity and diversity in primary schools
• The impact of outdoor education programs on environmental awareness in primary school students
• The influence of school climate on student motivation and engagement in primary schools
• Investigating the effects of early literacy interventions on reading comprehension in primary school students
• The impact of parental involvement in school decision-making processes on student achievement in primary schools
• Exploring the benefits of inclusive education for students with special needs in primary schools
• Investigating the effects of teacher-student feedback on academic motivation in primary schools
• The role of technology in developing digital literacy skills in primary school students
• Effective strategies for fostering a growth mindset in primary school students
• Investigating the role of parental support in reducing academic stress in primary school children
• The role of arts education in fostering creativity and self-expression in primary school students
• Examining the effects of early childhood education programs on primary school readiness
• Examining the effects of homework on primary school students’ academic performance
• The role of formative assessment in improving learning outcomes in primary school classrooms
• The impact of teacher-student relationships on academic outcomes in primary school
• Investigating the effects of classroom environment on student behavior and learning outcomes in primary schools
• Investigating the role of creativity and imagination in primary school curriculum
• The impact of nutrition and healthy eating programs on academic performance in primary schools
• The impact of social-emotional learning programs on primary school students’ well-being and academic performance
• The role of parental involvement in academic achievement of primary school children
• Examining the effects of classroom management strategies on student behavior in primary school
• The role of school leadership in creating a positive school climate Exploring the benefits of bilingual education in primary schools
• The effectiveness of project-based learning in developing critical thinking skills in primary school students
• The role of inquiry-based learning in fostering curiosity and critical thinking in primary school students
• The effects of class size on student engagement and achievement in primary schools
• Investigating the effects of recess and physical activity breaks on attention and learning in primary school
• Exploring the benefits of outdoor play in developing gross motor skills in primary school children
• The effects of educational field trips on knowledge retention in primary school students
• Examining the effects of inclusive classroom practices on students’ attitudes towards diversity in primary schools
• The impact of parental involvement in homework on primary school students’ academic achievement
• Investigating the effectiveness of different assessment methods in primary school classrooms
• The influence of physical activity and exercise on cognitive development in primary school children
• Exploring the benefits of cooperative learning in promoting social skills in primary school students

Secondary Education

• Investigating the effects of school discipline policies on student behavior and academic success in secondary education
• The role of social media in enhancing communication and collaboration among secondary school students
• The impact of school leadership on teacher effectiveness and student outcomes in secondary schools
• Investigating the effects of technology integration on teaching and learning in secondary education
• Exploring the benefits of interdisciplinary instruction in promoting critical thinking skills in secondary schools
• The impact of arts education on creativity and self-expression in secondary school students
• The effectiveness of flipped classrooms in promoting student learning in secondary education
• The role of career guidance programs in preparing secondary school students for future employment
• Investigating the effects of student-centered learning approaches on student autonomy and academic success in secondary schools
• The impact of socio-economic factors on educational attainment in secondary education
• Investigating the impact of project-based learning on student engagement and academic achievement in secondary schools
• Investigating the effects of multicultural education on cultural understanding and tolerance in secondary schools
• The influence of standardized testing on teaching practices and student learning in secondary education
• Investigating the effects of classroom management strategies on student behavior and academic engagement in secondary education
• The influence of teacher professional development on instructional practices and student outcomes in secondary schools
• The role of extracurricular activities in promoting holistic development and well-roundedness in secondary school students
• Investigating the effects of blended learning models on student engagement and achievement in secondary education
• The role of physical education in promoting physical health and well-being among secondary school students
• Investigating the effects of gender on academic achievement and career aspirations in secondary education
• Exploring the benefits of multicultural literature in promoting cultural awareness and empathy among secondary school students
• The impact of school counseling services on student mental health and well-being in secondary schools
• Exploring the benefits of vocational education and training in preparing secondary school students for the workforce
• The role of digital literacy in preparing secondary school students for the digital age
• The influence of parental involvement on academic success and well-being of secondary school students
• The impact of social-emotional learning programs on secondary school students’ well-being and academic success
• The role of character education in fostering ethical and responsible behavior in secondary school students
• Examining the effects of digital citizenship education on responsible and ethical technology use among secondary school students
• The impact of parental involvement in school decision-making processes on student outcomes in secondary schools
• The role of educational technology in promoting personalized learning experiences in secondary schools
• The impact of inclusive education on the social and academic outcomes of students with disabilities in secondary schools
• The influence of parental support on academic motivation and achievement in secondary education
• The role of school climate in promoting positive behavior and well-being among secondary school students
• Examining the effects of peer mentoring programs on academic achievement and social-emotional development in secondary schools
• Examining the effects of teacher-student relationships on student motivation and achievement in secondary schools
• Exploring the benefits of service-learning programs in promoting civic engagement among secondary school students
• The impact of educational policies on educational equity and access in secondary education
• Examining the effects of homework on academic achievement and student well-being in secondary education
• Investigating the effects of different assessment methods on student performance in secondary schools
• Examining the effects of single-sex education on academic performance and gender stereotypes in secondary schools
• The role of mentoring programs in supporting the transition from secondary to post-secondary education

Tertiary Education

• The role of student support services in promoting academic success and well-being in higher education
• The impact of internationalization initiatives on students’ intercultural competence and global perspectives in tertiary education
• Investigating the effects of active learning classrooms and learning spaces on student engagement and learning outcomes in tertiary education
• Exploring the benefits of service-learning experiences in fostering civic engagement and social responsibility in higher education
• The influence of learning communities and collaborative learning environments on student academic and social integration in higher education
• Exploring the benefits of undergraduate research experiences in fostering critical thinking and scientific inquiry skills
• Investigating the effects of academic advising and mentoring on student retention and degree completion in higher education
• The role of student engagement and involvement in co-curricular activities on holistic student development in higher education
• The impact of multicultural education on fostering cultural competence and diversity appreciation in higher education
• The role of internships and work-integrated learning experiences in enhancing students’ employability and career outcomes
• Examining the effects of assessment and feedback practices on student learning and academic achievement in tertiary education
• The influence of faculty professional development on instructional practices and student outcomes in tertiary education
• The influence of faculty-student relationships on student success and well-being in tertiary education
• The impact of college transition programs on students’ academic and social adjustment to higher education
• The impact of online learning platforms on student learning outcomes in higher education
• The impact of financial aid and scholarships on access and persistence in higher education
• The influence of student leadership and involvement in extracurricular activities on personal development and campus engagement
• Exploring the benefits of competency-based education in developing job-specific skills in tertiary students
• Examining the effects of flipped classroom models on student learning and retention in higher education
• Exploring the benefits of online collaboration and virtual team projects in developing teamwork skills in tertiary students
• Investigating the effects of diversity and inclusion initiatives on campus climate and student experiences in tertiary education
• The influence of study abroad programs on intercultural competence and global perspectives of college students
• Investigating the effects of peer mentoring and tutoring programs on student retention and academic performance in tertiary education
• Investigating the effectiveness of active learning strategies in promoting student engagement and achievement in tertiary education
• Investigating the effects of blended learning models and hybrid courses on student learning and satisfaction in higher education
• The role of digital literacy and information literacy skills in supporting student success in the digital age
• Investigating the effects of experiential learning opportunities on career readiness and employability of college students
• The impact of e-portfolios on student reflection, self-assessment, and showcasing of learning in higher education
• The role of technology in enhancing collaborative learning experiences in tertiary classrooms
• The impact of research opportunities on undergraduate student engagement and pursuit of advanced degrees
• Examining the effects of competency-based assessment on measuring student learning and achievement in tertiary education
• Examining the effects of interdisciplinary programs and courses on critical thinking and problem-solving skills in college students
• The role of inclusive education and accessibility in promoting equitable learning experiences for diverse student populations
• The role of career counseling and guidance in supporting students’ career decision-making in tertiary education
• The influence of faculty diversity and representation on student success and inclusive learning environments in higher education

Education-Related Dissertations & Theses

While the ideas we’ve presented above are a decent starting point for finding a research topic in education, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses in the education space to see how this all comes together in practice.

Below, we’ve included a selection of education-related research projects to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.

• From Rural to Urban: Education Conditions of Migrant Children in China (Wang, 2019)
• Energy Renovation While Learning English: A Guidebook for Elementary ESL Teachers (Yang, 2019)
• A Reanalyses of Intercorrelational Matrices of Visual and Verbal Learners’ Abilities, Cognitive Styles, and Learning Preferences (Fox, 2020)
• A study of the elementary math program utilized by a mid-Missouri school district (Barabas, 2020)
• Instructor formative assessment practices in virtual learning environments : a posthumanist sociomaterial perspective (Burcks, 2019)
• Higher education students services: a qualitative study of two mid-size universities’ direct exchange programs (Kinde, 2020)
• Exploring editorial leadership : a qualitative study of scholastic journalism advisers teaching leadership in Missouri secondary schools (Lewis, 2020)
• Selling the virtual university: a multimodal discourse analysis of marketing for online learning (Ludwig, 2020)
• Advocacy and accountability in school counselling: assessing the use of data as related to professional self-efficacy (Matthews, 2020)
• The use of an application screening assessment as a predictor of teaching retention at a midwestern, K-12, public school district (Scarbrough, 2020)
• Core values driving sustained elite performance cultures (Beiner, 2020)
• Educative features of upper elementary Eureka math curriculum (Dwiggins, 2020)
• How female principals nurture adult learning opportunities in successful high schools with challenging student demographics (Woodward, 2020)
• The disproportionality of Black Males in Special Education: A Case Study Analysis of Educator Perceptions in a Southeastern Urban High School (McCrae, 2021)

As you can see, these research topics are a lot more focused than the generic topic ideas we presented earlier. So, in order for you to develop a high-quality research topic, you’ll need to get specific and laser-focused on a specific context with specific variables of interest.  In the video below, we explore some other important things you’ll need to consider when crafting your research topic.

Get 1-On-1 Help

If you’re still unsure about how to find a quality research topic within education, check out our Research Topic Kickstarter service, which is the perfect starting point for developing a unique, well-justified research topic.

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Educators’ perceptions of technology integration into the classroom: a descriptive case study

Journal of Research in Innovative Teaching & Learning

ISSN : 2397-7604

Article publication date: 14 June 2019

Issue publication date: 3 December 2019

The purpose of this paper is to supply an in-depth description of the educators’ values, beliefs and confidence changing from a traditional learning environment to a learning environment integrating technology.

Design/methodology/approach

The descriptive case study design was employed using descriptive statistical analysis and inductive analysis on the data collected.

Themes on a high level of confidence, the importance of professional development and training, self-motivation, and excitement about the way technology can enhance the learning, along with concerns over the lack of infrastructure and support for integrating technology, and about the ability of students to use the technology tools for higher ordered thinking surfaced.

Research limitations/implications

Additional research may include a more diverse population, including educators at the kindergarten to high school level. Another recommendation would be to repeat the study with a population not as vested in technology.

Practical implications

A pre-assessment of the existing values, beliefs and confidence of educators involved in the change process will provide invaluable information for stakeholders on techniques and strategies vital to a successful transition.

Social implications

To effectively meet the learning styles of Generation Z and those students following, educators need be able to adapt to quickly changing technology, be comfortable with students who multitask and be open to technology-rich teaching and learning environments.

Originality/value

This study filled a gap in the literature where little information on the humanistic challenges educators encounter when integrating technology into their learning environment providing insights into the values, beliefs and level of confidence of educators experiencing change.

• Educational technology
• Humanistic approach
• Integrating technology

Hartman, R.J. , Townsend, M.B. and Jackson, M. (2019), "Educators’ perceptions of technology integration into the classroom: a descriptive case study", Journal of Research in Innovative Teaching & Learning , Vol. 12 No. 3, pp. 236-249. https://doi.org/10.1108/JRIT-03-2019-0044

Emerald Publishing Limited

Copyright © 2019, Rita J. Hartman, Mary B. Townsend and Marlo Jackson

Published in Journal of Research in Innovative Teaching & Learning . Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode

Introduction

How students prefer to learn has changed dramatically since the introduction of the internet. Students no long prefer passive dissemination of information being delivered by a teacher. Students prefer to watch a task taking place, and then attempt to duplicate it instead of reading or being instructed about the topic ( Genota, 2018 ; Seemiller and Grace, 2017 ; Shatto and Erwin, 2017 ; Swanzen, 2018 ). For example, 59 percent of Generation Z, 14–23-year olds, access YouTube for learning and information, 55 percent believe YouTube contributed to their education and only 47 percent prefer textbooks as a learning tool ( Global Research and Insights, 2018 ). The findings indicate virtual applications integrated into the curriculum can enhance the cognitive and creative skills of students through a student-centered environment ( Steele et al. , 2019 ). Although the study indicated 78 percent of the Generation Z believed teachers were important to their learning, only 39 percent preferred teacher-led instruction.

During the last seven years, the number of technology devices has grown 363 percent in our public schools. However, the use of classroom computers that duplicate the passive pedagogy of traditional classrooms has become more common, and the percentage of educational professional development opportunities for technology integration has remained unchanged ( Genota, 2018 ). Most college courses, even those that use a learning management system (LMS), tend to be teacher centered and lecture based ( Vercellotti, 2018 ). Higher education tends to be slow at adopting innovations in part because of the risk and the time commitment involved in exploring new tools and ideas ( Serdyukov, 2017 ). Simply adding more devices into the classroom is not enough to change instructional practices.

To effectively meet the learning styles of Generation Z and those students following, educators need be able to adapt to quickly changing technology, be comfortable with students who multitask and be open to technology-rich teaching and learning environments. However, most educators do not have the adequate knowledge, skills and confidence to effectively or efficiently use the available technologies to support technology integration into the learning environment ( El Fadil, 2015 ; Ferdig and Kennedy, 2014 ; Somera, 2018 ). In order to generate a systemic and empathetic change that can be sustained over time, educational leaders would need to explore the humanistic aspect of the change process as experienced by the educators. Inherent in the shifting role of educators is an in-depth understanding of the values, beliefs and confidence educators bring to the integration of technology into their classrooms.

Accessing information

The creation of the internet in 1990 by Tim Berners Lee ( Patterson, 1999 ) greatly influenced how people accessed information, interacted socially and prefer to learn. Generation Z (those born between 1995 and 2010) have grown up with easy access to the internet and are accustomed to multitasking, accessing information with a few clicks and watching something being done before trying it themselves ( Seemiller and Grace, 2017 ). Generation Z students prefer working with peers in collaborative groups over lectures. These students desire active learning with demonstrations and hands-on participation ( Adamson et al. , 2018 ; Seemiller and Grace, 2016 ). The students are also known by the monikers Net Generation, iGeneration or digital natives. By the year 2020, digital natives will make up one-third of the population in the USA ( Seemiller and Grace, 2016 ). Technology is a dominant part of their existence.

The traditional educational setting no longer meets the needs of a generation of students who strive to design their own learning experience ( Office of Educational Technology, Department of Education, 2017 ). However, the change from a teacher-centered learning environment to a student-centered learning environment with the integration of technology creates challenges and creates opportunities for educators ( Nicol et al. , 2018 ). Some educators recognize the benefits of integrating technology into their classrooms, which includes the advantages over traditional teaching and additional opportunities for improving student learning. Educators also consider benefits such as the availability of equipment, ease of use and the interest the technology may spark in each student ( Porter and Graham, 2016 ).

The process of identifying and implementing instructional technology requires different levels of support. The transition from a traditional learning environment to a learning environment integrating technology requires a certain amount of self-education on the part of the instructor, and the change process may take years ( Nicol et al. , 2018 ). Some educators find the process of scheduling equipment and loading materials into online course shells frustrating, and others find professional development activities do not fulfill their needs. The professional development available to faculty may have the wrong instructional focus, may be the wrong type or format, or may not be at the appropriate instructional level of the learners involved ( Reid, 2017 ). Achieving the level of support required for educators to feel comfortable may be challenging to both the support staff and the educators.

Change process

Learning how to enhance teaching with technology can be difficult ( Reid, 2017 ). Some educators approach instruction with very traditional methods. Teacher-centered lectures, pages of notes and assigned readings represent traditional or old-school instructional practices. Few post-secondary instructors are taught how to teach and most learn by modeling the teaching style of others. Teachers have not been taught how to be a facilitator in a technology-rich classroom ( Nicol et al. , 2018 ). Those teachers who do not acknowledge the changes in learning preferences may find it more difficult to teach the new generation.

Not all educators have the ability to embrace change. They may approach change with a fixed-mindset attempting to use a new technology tool and giving up easily at the first sign of difficulty. They do not see themselves as capable of learning to use the new technology tools and fear the risk of failure when trying new things ( Dress, 2016 ). The transition from teacher centered to student centered is a significant change and may be seen as a relinquishment of control by the teacher. Educators who are most comfortable in a traditional approach to education need more support when changing to a student-centered approach.

Humanistic influence on technology integration

The humanistic approach is described as involving the whole person and is manifested in the values, beliefs, confidence and emotions of the individual ( Fedorenko, 2018 ). Teaching is a humanistic endeavor, and educators find joy in being able to interact with their students and in being able to share their knowledge directly ( Azzaro, 2014 ). Learning organizations need educators who can bridge the gap between human and technological cultures ( Dominici, 2018 ). However, changing from a teacher-centered approach to a student-centered approach to instruction and learning may be difficult, and requiring the use of technology may seem too impersonal for educators to accept.

The educators’ values, beliefs and level of confidence are factors in the adoption of new technologies and pedagogies. A positive attitude toward using technology was found to be a significant factor in the intention to use educational technology. Positive attitudes have a major influence on the acceptance or rejection of the new technology integration. The change may come in the form of an educational change initiated by the college or university.

An educator’s beliefs about using technology become a factor in the ability to adopt the new technology into their pedagogy. If the transition was smooth and the process was positive, educators may be more open to accepting the change. If the change was not positive, the announcement may produce negative feelings and doubt related to any new initiative. The change may produce resistance, self-doubt and uncertainties ( Kilinc et al. , 2017 ; Reid, 2017 ). The doubt causes them to question the change and their belief system. Past experiences may also influence educators’ ability to be successful with the implementation of a new innovation, such as technology ( Demirbağ and Kılınç, 2018 ; Reid, 2017 ). If the focus of the change contradicts the current belief system, teachers are less likely to put the reforms into practice; therefore, they become resistant to the change. Changes that align with core beliefs are more likely to be successful ( Demirbağ and Kılınç, 2018 ). The alignment allows teachers to feel confident about the change process and more likely to be a user of technology.

Educators produce resistance by using the technology superficially or not at all. The resistance builds when the educational technology seemingly does not contribute to their traditional teaching ( Demirbağ and Kılınç, 2018 ). Educators may perceive learning to use the newly adopted technology as a burden ( Cheung et al. , 2018 ). The educational technology may be meaningful, but the resistance prevents them from exploring further opportunities for using the technology.

Resistance to technology can also be in association with an educator’s efficacy. Self-efficacy is the belief in one’s own ability to succeed in a context-specific task or behavior ( Bandura, 1986 ; Alenezi, 2017 ). Confidence and knowledge with using technology and computers is known as computer self-efficacy (CSE). CSE refers to the ability and the application of skills to achieve a result ( Alshammari et al. , 2016 ). The importance of CSE increased since the implementation of computer-based learning at all educational levels ( Bhatiasevi and Naglis, 2016 ). Educators with limited exposure to technology in their everyday and personal lives or with limited or nonexistent support will be resistant to using technology ( Kilinc et al. , 2017 ). An educator who demonstrates higher levels of CSE will have less frustration and will increase their use of technology in the future ( Cheung et al. , 2018 ). Users of technology tend to believe in the value of technology if it is easy to use and makes completing tasks simpler ( Bhatiasevi and Naglis, 2016 ). Lower levels of CSE coincide with low motivation and the perception of the technology as difficult and useless ( Alshammari et al. , 2016 ). CSE is a major factor in the resistance of the change, but it is a barrier which is difficult to detect. However, when combining CSE with an educator’s background experiences, one may have the ability to determine an educator’s resistance to technology.

Educators who are comfortable with traditional teaching methods may feel more comfortable with a colleague or mentor easing them into the process of integrating technology. This mentor or colleague would be the change agent. The change agent would provide reassurance and support. It would not only require a change in an educators’ knowledge of pedagogy and technology but also in their self-efficacy ( Reid, 2014 ). These mentors can provide just-in-time support and help ease the educator into increasing the use of technology.

Purpose statement and research question

What were the values, beliefs, confidence and level of preparedness of educators making the change from a traditional learning environment to a learning environment integrating technology?

Method and design

Descriptive case studies provide insight into complex issues and describe natural phenomenon within the context of the data that are being questioned ( Zainal, 2007 ). The goal of a qualitative descriptive study is to summarize the experience of the individuals or participants ( Lambert and Lambert, 2012 ). The design is appropriate for this study as the researchers were seeking to gain a rich description of educators’ experiences transitioning from a traditional learning environment to a learning environment integrating technology (Harrison, 2017; Yin, 2013 ). A descriptive statistical analysis was conducted on the 12 Likert-type questions and an inductive analysis was conducted on the narrative data collected from five open-ended questions included in the survey.

Participants

The sample recruited from the membership of Association for Educational Communication and Technology (AECT) during the fall of 2018 were community college, university, graduate level educators and others who had experienced changing from a traditional learning environment to a learning environment integrating technology. AECT has a membership of about 2,000 individuals from 50 countries (T. Lawson, personal communication, September 10, 2018). This population was of special interest because of the value and experience that they place on technology as evidence by their membership in AECT. The members of this group are familiar with technology and embrace the use of technology leaving the move from teacher centered to student centered as the key challenge. An invitation was sent out to the membership through the AECT website, and members of the organization self-selected to take part in the survey by clicking on the Member Consent, “Yes, I agree to participate.” An informed Consent approval was electronically signed through the SurveyMonkey tool describing the purpose and intent of the research study and describing how the participant’s identity and responses would remain protected.

In total, 42 participants started the survey. Tables I–IV provide the demographic information collected from the first four questions of the survey.

Data collection

After an invitation was sent out to the membership through the AECT website, members of the organization self-selected to take part in the survey. Participants were provided with a link to SurveyMonkey where they were asked to complete 12 Likert-type items and five open-ended questions. Descriptive statistics were collected from the Likert-type items. Participants responded to a series of statements indicating he or she strongly agree, agree, neither agree or disagree, disagree, or strongly disagree ( Croasmun and Ostrom, 2011 ; Salkind, 2009 ). Three of the items (7, 10 and 17) were negatively worded requiring the participants to think about the statement avoiding automated responses to the items ( Croasmun and Ostrom, 2011 ). The three items and corresponding responses were translated to a positive wording for analysis purposes. The results of the Likert-type items are displayed in Figures 1–3 . In the final section of the survey, participants were asked to respond to five open-ended questions. SurveyMonkey generated a document with each participants’ narrative comments. Survey results retrieved from SurveyMonkey were anonymous with no participant names or identifiers, other than the demographic information collected was accessible to the researchers.

Procedure for analysis

SurveyMonkey site generated a graphic representing the responses of participants to the 12 Likert-type items. Due to the nature of the 12 items, descriptive statistics analysis was appropriate for describing the qualitative data in terms of percentages ( Hussain, 2012 ). A content analysis approach was used to analysis the narrative responses to the five open-ended questions allowing us to systematically describe the data surfacing descriptive codes leading to major themes ( Finfgeld-Connett, 2013 ; Miles and Huberman, 1994 ; White and Marsh, 2006 ). Researchers initially coded the narrative statements independently, then engaged in a process of reviewing and analyzing the codes through four rounds until consensus was reached on the cluster of codes leading to emerging themes. The codes were unique and used to describe the educators’ experiences and perceptions changing from a traditional learning environment to a learning environment integrating technology ( Hseih and Shannon, 2005 ; Merriam, 2009 ; Vaismoradi et al. , 2013 ).

Responses to the Likert-type questions were combined into three figures. The related questions are grouped together for easier analysis. The questions related to confidence are organized into Figure 1 . The questions that addressed beliefs are organized into Figure 2 . The questions that addressed the values of participants are organized in Figure 3 . A detailed description of each figure is provided below.

Likert-type items

Responses to the Likert-type items 6, 9, 10 and 15 focused on the confidence of level participants integrating technology. The results can be seen in Figure 1 . Combining the responses of strongly agree and agree, 97 percent of the participants indicated they had a high level of confidence in integrating technology into their learning environment. In total, 95 percent of the participants had confidence in their abilities to enhance the learning environment with the integration of technology. In total, 81 percent indicated they were prepared for moving from a teacher-centered learning environment to a student-centered learning environment. There was an 86 percent response to the participants’ confidence in technology to enrich and deepen the learning experience for students.

Likert-type items 7, 12, 13, 14 and 17 addressed participants beliefs in technology integration into the classroom with the results displayed in Figure 2 . While the participant responses indicated confidence in technology integration, the beliefs of participations in how the technology contributed to student learning were more varied. In total, 86 percent believed technology contributed to the success of students. The responses to the extent to which technology engages students in higher order thinking indicated 69 percent either strongly agreed or agreed, while 29 percent indicated they neither agree or disagree. In total, 71 percent believed their value as a teacher was enhanced with the integration of technology, 72 percent believe the culture of their organization supports technology integration and 81 percent believed they had adequate training in technology integration.

Participants responses to the value of technology integration were high, at least 95 percent in each item as shown in Figure 3 . There was a 98 percent strongly agreed or agreed to the additional functions technology provides to monitor, adjust and extend student learning. In total, 95 percent of the participants value the opportunities technology integration provided them in creating and generating relevant lessons for students. In addition, 95 percent also valued ongoing training and professional development in integrating technology.

Open-ended questions

A systematic process was used for coding the responses to the open-ended questions. The process began with open coding in which similarities and differences in the responses were identified. Labels were created and examined for the emerging concepts. Axial coding was used to generate relationships between the categories, and these were tested against the theoretical framework. This process was repeated for each of the open-ended questions.

Participants reflected on some of the ways their personal values and beliefs were challenged in Question 18. Of the sample, 36 people responded to the question. Through the analysis of the question, several themes and subthemes were uncovered. These themes were: no impact, concerns about confidence and a change to student-centered instruction.

In total, 16 participants indicated a positive feeling toward technology or that there was no impact on their values or beliefs. One participant stated, “I’ve always believed in the value of technology.” Another said, “My personal beliefs were not challenged. I was one of the teachers leading the technology parade.” Under the theme of confidence, nine of the respondents indicated they had challenges to their beliefs due to concerns of their ability to use technology. One participant stated, “It took me several weeks to feel comfortable combining teaching and using the technology.” Another shared, “I was not sure I could truly deliver as engaging a lesson as I could face-to-face.” A similar comment was related to being able to manage students when technology was added, “My confidence in students’ ability to self-regulate has been challenged more than ever recently […] especially in terms of their unbelievable ability to distract themselves […].” In addition, nine of the respondents indicated the change to a student-centered approach brought about by the technology changes created challenges to their values and beliefs. One respondent shared, “The main challenge was in accepting a more learner-centered approach after decades of using the traditional approach to teaching.” This finding is significant, because it would be anticipated the participants would be comfortable with technology and yet, the move from teacher centered to student centered still held some challenges.

The ways participants were prepared for the change to a learning environment integrating technology was explored through Question 19. There were 36 responses to this question. Through the analysis of the responses, two main themes were uncovered. The themes were: prior experience with technology or formal training with the technology and being self-motivated to learn about the technology. Some of the respondents stated more than one thing that helped them prepare to use technology.

In total, 21 shared they had prior experience with the technology or formal training with technology that helped prepared them. “I was enrolled in technology classes that helped me in college and this opened many avenues for my learning.” Another subject stated, “I was a TA for two semesters for the course I taught. I attended the class and corrected papers, which helped me become familiar the Canvas, the LMS we use.” Other examples of formal training were, “Lots of grad school, at my own expense.” and, “My field is instructional design – it’s what I’m trained to do.”

In total, 18 of the respondents shared they were self-motivated to learn. Their responses included comments such as, “Trying out the technology before bringing it into the classroom.” Another participant stated, “Because of a personal interest in technology, I had been learning on my own.” Watching how-to videos on YouTube was another example of how participants were teaching themselves. There were some comments that were not common enough to merit a theme, but that still seemed worth mentioning. These referenced the importance of collaboration among peers. The comment, “Familiarity with the technology tools was important, but more important was the discourse with colleagues and former students about instructional strategies that allow students to grasp complexity,” reflected the value put on collaboration.

With Question 20, participants were asked to reflect on some of the challenges they encountered when moving to a learning environment integrating technology. In total, 34 provided responses. One major theme and two minor themes emerged. IN total, 19 of the participants indicated the greatest challenge was resources. Resources included those of time, financial and infrastructures. Time was needed for training, for development and redesigning of materials and lessons. One participant commented, “I need extra time on improving my digital capabilities, somehow add extra workload for me.” Specific to students, “when I ask them (the students) to use the technology. It consumes time, which is demotivating.” There was also concern about the “best use of time and resources when the technology may not ultimately be useful. ‘Knowing what will endure (and hence worth the effort) is difficult.’”

Financial support and a strong infrastructure to support the integration of technology was a concern. There were issues expressed about “access for all,” “reliability and expensive of technology,” “access to computer lab shared with other instructors” and “Tech support for things I can’t fix myself.”

In total, 11 participants expressed concerns about their lack of knowledge relative to technology resulting in a steep learning curve for educators and students. One participant was surprised at the “low technology skill level of students,” and another on the challenge of “becoming both subject matter expert and IT consultant to the students.” One participant was concerned about, “Learning new technologies and making sure that the activities and resources effectively help students learning,” and another mentioned a “Lack of knowledge about software/apps and ability to use them to enhance learning.”

Resistance surfaced in eight of the participants’ responses and reflected resistance on the part of students, teachers and administrators. Comments included, “student unwillingness to learn to use the technology,” the need for “opening people’s minds to a new learning style,” and “resistance from supervisors who are not forward thinking.”

Participants shared their level of confidence in the change process and any surprises or unexpected events they encountered during the transition in Question 21. There were 34 responses to this question. Through the analysis of the question, several themes and subthemes were uncovered. These themes were: confidence, attitudes and infrastructure. In total, 26 participants responded they were confident about the change process. One of the participants who identified confidence stated, “I am usually very confident because I am an avid technology user.” Another participant stated, “My confidence rests on the awareness that there is always more to learn about merging technology and instruction, and teaching and learning is a shared endeavor.” Few participants identified lack of confidence about the change process. The participant said, “I was not confident at first, but when I found students learning and enjoying the process my confident [ sic .] increase.”

The next theme which emerged was attitude. In total, 23 participants identified attitudes as surprising or unexpected about the change process. This theme was divided into two subthemes: teacher attitude and student attitude. One participant who mentioned student attitude said of his or her students were “very confident, student [ sic .] more creative, get more learning resources.” Participants also mentioned teacher attitude. One participant was “surprised by the jealousy of others who lacked knowledge and wanted to learn. Other teachers complained they couldn’t ever use the laptop cart, since I alwasy [ sic .] had it in my room and used it daily.”

Our last question was an open-ended question asking participants if there was anything else they would like to share that was not addressed by the previous questions. In total, 30 participants provided additional ideas. Comments related to instruction were made by 12 participants. The statement, “Although instructors should be cautious about the potential the extraordinary new technologies afford, there is much reason to excite our capacities to teach in ways that were not possible without these technologies,” reflects the participants views on the ways technology can and will influence their instruction.

In total, 11 participants expressed support for embracing technology and the potential technology holds for the learning environment with comments such as, “technology will be embraced by learners and it will enhance their learning and performance,” and “The potential of a learning environment with integrated technology is enormous.” Instruction and the importance of the designing the learning environment was expressed by eight participants. Respondents believed technology can enhance the learning, not drive the learning. “We must emphasize the design aspect in the learning environment as we do technology.”

Reflecting on their experiences transitioning from a traditional learning environment to one integrating technology, 42 participants shared their insights on the humanistic aspects of the change process leading to the generation of potential strategies and approaches for future change efforts.

The descriptive statistics indicated a strong level of confidence on the part of the participants in their abilities to integrate technology and a strong sense of the value technology brought to their educational setting. However, the beliefs on how technology contributed to student learning were more diverse. The results suggest there are still some questions about the extent to which technology engages students in higher order thinking and the degree to which technology enhances the role of the educator.

Three major themes emerged from the content analysis of the narrative responses: a sense of confidence and self-motivation in integrating technology in the educational environment, the importance of professional development/training opportunities, and a sense of excitement about the way technology can enhance the learning now and in the future. Approaching the humanistic aspects of change can lead to greater acceptance of the change and a deeper commitment to the change process. Efforts of resistance can be mitigated when the educators have a sense of self-assurance in the process, feel there is an alignment with their core values and have a sense of self-efficacy toward the ultimate goal. A parameter of the study was that the participants were members of the AECT and by membership, indicated an existing interest and awareness of the potential integrating technology into the educational environment.

In order to generate a systemic and empathetic change which can be sustained over time, educational leaders would need to explore the humanistic aspect of the change process as experienced by the educators, including the support and resources needed for the effective integration of technology into the educational environment. As anticipated, the participants in this study were more confident and comfortable about the change to technology. The challenge was the shift in emphasis from teacher- to student-centered pedagogies. Inherent in the changing role is an in-depth understanding of the confidence, beliefs and values educators bring to the integration of technology into their classrooms. A pre-assessment of the existing resources, needed resources and potential resources to support the change process, as well as, an assessment of the existing values, beliefs and confidence of educators involved in the change process will provide invaluable information for stakeholders on techniques and strategies vital to a successful transition.

Recommendations/limitations

The descriptive statistics and content analysis of the educators’ responses provided an awareness of the complex aspect of the change process when embracing technology as a tool to enhance the learning environment. The findings may provide schools, community colleges and universities, as well as graduate level educators, educational leaders and educational organizations moving to technology-driven learning platforms with valuable information on the humanistic aspect of designing strategies, techniques and support structures to assist educators in effectively and successfully embracing the innovation. Additional research may include a more diverse population, including educators at the kindergarten to high school level. Another recommendation would be to repeat the study with a population not as vested in technology as the members of the AECT.

Contributions

With the expanding capabilities of technology and ease of access to the internet, students at all levels are moving toward technologically driven approaches providing flexibility, active engagement and self-control over the learning experience ( Huh and Reigeluth, 2018 ; Utami, 2018 ). The informational age is moving education from teacher centered to learner-centered supported with the integration of technology. Research exists on the success of specific technology platforms and on the implementation of teacher training to support the integration of technology into the learning environment. However, there is little to no research on the values, beliefs and confidence of educators changing from a traditional learning environment to a learning environment integrating technology. Educators are entering into the new innovations with limited skills and knowledge to successfully implement the educational strategies needed for technology integration ( Somera, 2018 ). The findings from this study add to the literature on the complex issues educators encounter when integrating technology into their classrooms and providing additional insights into a humanistic approach to change.

Confidence level of participants integrating technology

Beliefs of participants in how technology contributed to student learning

Participants responses to the value of technology integration

Years teaching

Educational level currently teaching

Subject or field currently teaching

Age range of participants

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Acknowledgements

The authors acknowledge the support of Dr Mansureh Kebritchi research chair of the Center of Educational and Instruction Technology Research of the University of Phoenix.

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Teaching About Technology in Schools Through Technoskeptical Inquiry

June 3, 2024 | victorialynn | Harvard Educational Review Contributors , Voices in Education

By Jacob Pleasants, Daniel G. Krutka, and T. Philip Nichols

New technologies are rapidly transforming our societies, our relationships, and our schools. Look no further than the intense — and often panicked — discourse around generative AI , the metaverse , and the creep of digital media into all facets of civic and social life . How are schools preparing students to think about and respond to these changes?

In various ways, students are taught how to use technologies in school. Most schools teach basic computing skills and many offer elective vocational-technical classes. But outside of occasional conversations around digital citizenship, students rarely wrestle with deeper questions about the effects of technologies on individuals and society.

Decades ago, Neil Postman (1995) argued for a different form of technology education focused on teaching students to critically examine technologies and their psychological and social effects. While Postman’s ideas have arguably never been more relevant, his suggestion to add technology education as a separate subject to a crowded curriculum gained little traction. Alternatively, we argue that technology education could be an interdisciplinary endeavor that occurs across core subject areas. Technology is already a part of English Language Arts (ELA), Science, and Social Studies instruction. What is missing is a coherent vision and common set of practices and principles that educators can use to align their efforts.

To provide a coherent vision, in our recent HER article , we propose “technoskepticism” as an organizing goal for teaching about technology. We define technoskepticism as a critical disposition and practice of investigating the complex relationships between technologies and societies. A technoskeptical person is not necessarily anti-technology, but rather one who deeply examines technological issues from multiple dimensions and perspectives akin to an art critic.

We created the Technoskepticism Iceberg as a framework to support teachers and students in conducting technological inquiries. The metaphor of an iceberg conveys how many important influences of technology lie beneath our conscious awareness. People often perceive technologies as tools (the “visible” layer of the iceberg), but technoskepticism requires that they be seen as parts of systems (with interactions that produce many unintended effects) and embedded with values about what is good and desirable (and for whom). The framework also identifies three dimensions of technology that students can examine. The technical dimension concerns the design and functions of a technology, including how it may work differently for different people. The psychosocial dimension addresses how technologies change our individual cognition and our larger societies. The political dimension considers who makes decisions concerning the terms, rules, or laws that govern technologies.

To illustrate these ideas, how might we use the Technoskeptical Iceberg to interrogate generative AI such as ChatGPT in the core subject areas?

A science/STEM classroom might focus on the technical dimension by investigating how generative AI works and demystifying its ostensibly “intelligent” capabilities. Students could then examine the infrastructures involved in AI systems , such as immense computing power and specialized hardware that in turn have profound environmental consequences. A teacher could ask students to use their values to weigh the costs and potential benefits of ChatGPT.

A social studies class could investigate the psychosocial dimension through the longer histories of informational technologies (e.g., the printing press, telegraph, internet, and now AI) to consider how they shifted people’s lives. They could also explore political questions about what rules or regulations governments should impose on informational systems that include people’s data and intellectual property.

In an ELA classroom, students might begin by investigating the psychosocial dimensions of reading and writing, and the values associated with different literacy practices. Students could consider how the concept of “authorship” shifts when one writes by hand, with word processing software, or using ChatGPT. Or how we are to engage with AI-generated essays, stories, and poetry differently than their human-produced counterparts. Such conversations would highlight how literary values are mediated by technological systems . 

Students who use technoskepticism to explore generative AI technologies should be better equipped to act as citizens seeking to advance just futures in and out of schools. Our questions are, what might it take to establish technoskepticism as an educational goal in schools? What support will educators need? And what might students teach us through technoskeptical inquiries?

Postman, N. (1995). The End of Education: Redefining the Value of School. Vintage Books.

About the Authors

Jacob Pleasants is an assistant professor of science education at the University of Oklahoma. Through his teaching and research, he works to humanize STEM education by helping students engage with issues at the intersection of STEM and society.

Daniel G. Krutka is a dachshund enthusiast, former high school social studies teacher, and associate professor of social studies education at the University of North Texas. His research concerns technology, democracy, and education, and he is the cofounder of the Civics of Technology project ( www.civicsoftechnology.org ).

T. Philip Nichols is an associate professor in the Department of Curriculum and Instruction at Baylor University. He studies the digitalization of public education and the ways science and technology condition the ways we practice, teach, and talk about literacy.

They are the authors of “ What Relationships Do We Want with Technology? Toward Technoskepticism in Schools ” in the Winter 2023 issue of Harvard Educational Review .

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Technologies That Entertain and Educate: How Are They Made?

How "sesame street" cracked the code of holistic evidence-building..

Posted June 17, 2024 | Reviewed by Devon Frye

• Why Education Is Important
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• Educational technology can have an impact, but only when the technology design and use are of high quality.
• Inclusive R&D and efficacy trials are vital for developing impactful, sustainable ed-tech solutions.
• The show "Sesame Street" uses large-scale, global research to build support for ed-tech's capabilities.

There's a widely accepted research consensus that educational technology, or ed-tech, can lead to positive learning outcomes—but only when the technology design and use are of high quality.

Achieving this quality poses challenges due to the many factors influencing a child’s education . These include the learner background knowledge acquired at home, the teachers' skills in effectively integrating technology into their teaching, and a close alignment between an ed-tech tool and the unique learning paths of each student. Finding agreement on how to achieve ed-tech quality requires addressing these multifaceted educational dynamics.

It might sound challenging, but it is achievable: Technologies developed through both inclusive approaches that include teachers and children through participatory research as well as efficacy trials that require controlled testing conditions, have the highest likelihood to positively impact learners long-term. A holistic approach to gathering evidence is the secret to thriving in a market crowded with thousands of apps and learning platforms.

What does such an approach look like in practice? "Sesame Street" media are a good example of how technology companies can approach evidence.

"Sesame Street" and Efficacy Research

"Sesame Street," created by the nonprofit Sesame Workshop, is known for its iconic characters and engaging storylines that capture children's imaginations while nurturing their cognitive and emotional development. What sets it apart from many other children's television shows is its rigorous research approach, which spans multiple countries and focuses not only on efficacy but also on cost-effectiveness and its broader impact on learning and social outcomes. It is this comprehensive approach that has underscored its effectiveness across various contexts and its sustained relevance over time.

For example, a recent study evaluated an 11-week remote early learning program (RELP) delivered through WhatsApp to families in Lebanon, including Syrian refugees and vulnerable Lebanese families. Created by Sesame Workshop and the International Rescue Committee in response to COVID-19 , the program aimed to provide early education where access to preschool is limited.

The evaluation study looked at two groups: one receiving only RELP and another with RELP plus remote parenting support. Both were compared to a group that waited for RELP. Researchers analyzed how these programs affected child development , parenting, and caregiver well-being.

The researchers found that remote early childhood education programs are effective in promoting early childhood development in regions where traditional schooling is hard to access. The RELP intervention had significant positive effects on key areas of early learning, such as emergent literacy, numeracy skills, motor development, and social-emotional growth.

Beyond Efficacy Studies

Certainly, while efficacy studies provide solid evidence of impact, they don't encompass the full gold standard , especially not in interventions that involve education and technology. Randomized controlled trial (RCT) research has often been portrayed either as championing or condemning technology in the pursuit of equity.

However, it's more productive to view RCTs as one part of a broader spectrum of research methods available to educational researchers. These researchers span various disciplines, including cognitive psychology, learning sciences, qualitative studies, and ethnography, which often uncover intricate learning processes and areas that are challenging to quantify.

From this perspective, the critical question extends beyond whether tools are effective to understanding for whom, when, and why they are effective, addressing the diversity of students and contexts.

"Sesame Street" and Inclusive R&D

While literacy and numeracy outcomes can be readily tested, life skills such as curiosity and perseverance are more complex to measure. These socio-emotional skills are crucial for understanding how a technology tool aligns with diverse children's profiles in the learning process. While life skills may not be easily reduced to standardized tests, qualitative methods provide valuable insights into their impact.

To find out the impact of "Sesame Street" on these other skills, the team engaged in inclusive research and development, with testbed and sandbox methods , where researchers with practitioners or children jointly explore what might work best. For example, in the qualitative studies in Syria and Northern Ireland, the content was refined and developed with the local teachers and parents to improve its cultural relevance and contextual appropriateness.

Once finalized, the content was disseminated through various media platforms, including WhatsApp, to reach the parents impacted by conflict and war and support the social-emotional learning needs of their young children.

Efficacy and Inclusive R&D Are Not Opposites

This integration of efficacy trials and a testbed approach illustrates the transformative potential of technology to both entertain and educate children . Whether categorized as children’s media or "ed-tech," well-crafted technologies can positively impact young learners' lives.

This approach underscores the critical importance of comprehensive research that considers both content and format, embracing ongoing inquiry rather than one-time studies. By embracing the rich diversity of educational research disciplines, both cognitive and non-cognitive, "Sesame Street" exemplifies a commitment to advancing educational practices aligned with the science of learning and inclusive educational principles. This holistic approach not only supports continuous improvement but also exemplifies a robust approach to evidence.

Mares, M. L., & Pan, Z. (2013). Effects of Sesame Street: A meta-analysis of children's learning in 15 countries. Journal of Applied Developmental Psychology , 34 (3), 140-151.

Schwartz, K., Michael, D., Torossian, L., Hajal, D., Yoshikawa, H., Abdulrazzak, S., & Behrman, J. (2024). Leveraging Caregivers to Provide Remote Early Childhood Education in Hard-to-Access Settings in Lebanon: Impacts From a Randomized Controlled Trial. Journal of Research on Educational Effectiveness , 1-31.

Natalia Kucirkova, Ph.D. , is Professor at the University of Stavanger, Norway and The Open University, UK.

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Impacts of digital technologies on education and factors influencing schools' digital capacity and transformation: A literature review

Stella timotheou.

1 CYENS Center of Excellence & Cyprus University of Technology (Cyprus Interaction Lab), Cyprus, CYENS Center of Excellence & Cyprus University of Technology, Nicosia-Limassol, Cyprus

Ourania Miliou

Yiannis dimitriadis.

2 Universidad de Valladolid (UVA), Spain, Valladolid, Spain

Sara Villagrá Sobrino

Nikoleta giannoutsou, romina cachia.

3 JRC - Joint Research Centre of the European Commission, Seville, Spain

Alejandra Martínez Monés

Andri ioannou, associated data.

Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

Digital technologies have brought changes to the nature and scope of education and led education systems worldwide to adopt strategies and policies for ICT integration. The latter brought about issues regarding the quality of teaching and learning with ICTs, especially concerning the understanding, adaptation, and design of the education systems in accordance with current technological trends. These issues were emphasized during the recent COVID-19 pandemic that accelerated the use of digital technologies in education, generating questions regarding digitalization in schools. Specifically, many schools demonstrated a lack of experience and low digital capacity, which resulted in widening gaps, inequalities, and learning losses. Such results have engendered the need for schools to learn and build upon the experience to enhance their digital capacity and preparedness, increase their digitalization levels, and achieve a successful digital transformation. Given that the integration of digital technologies is a complex and continuous process that impacts different actors within the school ecosystem, there is a need to show how these impacts are interconnected and identify the factors that can encourage an effective and efficient change in the school environments. For this purpose, we conducted a non-systematic literature review. The results of the literature review were organized thematically based on the evidence presented about the impact of digital technology on education and the factors that affect the schools’ digital capacity and digital transformation. The findings suggest that ICT integration in schools impacts more than just students’ performance; it affects several other school-related aspects and stakeholders, too. Furthermore, various factors affect the impact of digital technologies on education. These factors are interconnected and play a vital role in the digital transformation process. The study results shed light on how ICTs can positively contribute to the digital transformation of schools and which factors should be considered for schools to achieve effective and efficient change.

Introduction

Digital technologies have brought changes to the nature and scope of education. Versatile and disruptive technological innovations, such as smart devices, the Internet of Things (IoT), artificial intelligence (AI), augmented reality (AR) and virtual reality (VR), blockchain, and software applications have opened up new opportunities for advancing teaching and learning (Gaol & Prasolova-Førland, 2021 ; OECD, 2021 ). Hence, in recent years, education systems worldwide have increased their investment in the integration of information and communication technology (ICT) (Fernández-Gutiérrez et al., 2020 ; Lawrence & Tar, 2018 ) and prioritized their educational agendas to adapt strategies or policies around ICT integration (European Commission, 2019 ). The latter brought about issues regarding the quality of teaching and learning with ICTs (Bates, 2015 ), especially concerning the understanding, adaptation, and design of education systems in accordance with current technological trends (Balyer & Öz, 2018 ). Studies have shown that despite the investment made in the integration of technology in schools, the results have not been promising, and the intended outcomes have not yet been achieved (Delgado et al., 2015 ; Lawrence & Tar, 2018 ). These issues were exacerbated during the COVID-19 pandemic, which forced teaching across education levels to move online (Daniel, 2020 ). Online teaching accelerated the use of digital technologies generating questions regarding the process, the nature, the extent, and the effectiveness of digitalization in schools (Cachia et al., 2021 ; König et al., 2020 ). Specifically, many schools demonstrated a lack of experience and low digital capacity, which resulted in widening gaps, inequalities, and learning losses (Blaskó et al., 2021 ; Di Pietro et al, 2020 ). Such results have engendered the need for schools to learn and build upon the experience in order to enhance their digital capacity (European Commission, 2020 ) and increase their digitalization levels (Costa et al., 2021 ). Digitalization offers possibilities for fundamental improvement in schools (OECD, 2021 ; Rott & Marouane, 2018 ) and touches many aspects of a school’s development (Delcker & Ifenthaler, 2021 ) . However, it is a complex process that requires large-scale transformative changes beyond the technical aspects of technology and infrastructure (Pettersson, 2021 ). Namely, digitalization refers to “ a series of deep and coordinated culture, workforce, and technology shifts and operating models ” (Brooks & McCormack, 2020 , p. 3) that brings cultural, organizational, and operational change through the integration of digital technologies (JISC, 2020 ). A successful digital transformation requires that schools increase their digital capacity levels, establishing the necessary “ culture, policies, infrastructure as well as digital competence of students and staff to support the effective integration of technology in teaching and learning practices ” (Costa et al, 2021 , p.163).

Given that the integration of digital technologies is a complex and continuous process that impacts different actors within the school ecosystem (Eng, 2005 ), there is a need to show how the different elements of the impact are interconnected and to identify the factors that can encourage an effective and efficient change in the school environment. To address the issues outlined above, we formulated the following research questions:

a) What is the impact of digital technologies on education?

b) Which factors might affect a school’s digital capacity and transformation?

In the present investigation, we conducted a non-systematic literature review of publications pertaining to the impact of digital technologies on education and the factors that affect a school’s digital capacity and transformation. The results of the literature review were organized thematically based on the evidence presented about the impact of digital technology on education and the factors which affect the schools’ digital capacity and digital transformation.

Methodology

The non-systematic literature review presented herein covers the main theories and research published over the past 17 years on the topic. It is based on meta-analyses and review papers found in scholarly, peer-reviewed content databases and other key studies and reports related to the concepts studied (e.g., digitalization, digital capacity) from professional and international bodies (e.g., the OECD). We searched the Scopus database, which indexes various online journals in the education sector with an international scope, to collect peer-reviewed academic papers. Furthermore, we used an all-inclusive Google Scholar search to include relevant key terms or to include studies found in the reference list of the peer-reviewed papers, and other key studies and reports related to the concepts studied by professional and international bodies. Lastly, we gathered sources from the Publications Office of the European Union ( https://op.europa.eu/en/home ); namely, documents that refer to policies related to digital transformation in education.

Regarding search terms, we first searched resources on the impact of digital technologies on education by performing the following search queries: “impact” OR “effects” AND “digital technologies” AND “education”, “impact” OR “effects” AND “ICT” AND “education”. We further refined our results by adding the terms “meta-analysis” and “review” or by adjusting the search options based on the features of each database to avoid collecting individual studies that would provide limited contributions to a particular domain. We relied on meta-analyses and review studies as these consider the findings of multiple studies to offer a more comprehensive view of the research in a given area (Schuele & Justice, 2006 ). Specifically, meta-analysis studies provided quantitative evidence based on statistically verifiable results regarding the impact of educational interventions that integrate digital technologies in school classrooms (Higgins et al., 2012 ; Tolani-Brown et al., 2011 ).

However, quantitative data does not offer explanations for the challenges or difficulties experienced during ICT integration in learning and teaching (Tolani-Brown et al., 2011 ). To fill this gap, we analyzed literature reviews and gathered in-depth qualitative evidence of the benefits and implications of technology integration in schools. In the analysis presented herein, we also included policy documents and reports from professional and international bodies and governmental reports, which offered useful explanations of the key concepts of this study and provided recent evidence on digital capacity and transformation in education along with policy recommendations. The inclusion and exclusion criteria that were considered in this study are presented in Table ​ Table1 1 .

Inclusion and exclusion criteria for the selection of resources on the impact of digital technologies on education

To ensure a reliable extraction of information from each study and assist the research synthesis we selected the study characteristics of interest (impact) and constructed coding forms. First, an overview of the synthesis was provided by the principal investigator who described the processes of coding, data entry, and data management. The coders followed the same set of instructions but worked independently. To ensure a common understanding of the process between coders, a sample of ten studies was tested. The results were compared, and the discrepancies were identified and resolved. Additionally, to ensure an efficient coding process, all coders participated in group meetings to discuss additions, deletions, and modifications (Stock, 1994 ). Due to the methodological diversity of the studied documents we began to synthesize the literature review findings based on similar study designs. Specifically, most of the meta-analysis studies were grouped in one category due to the quantitative nature of the measured impact. These studies tended to refer to student achievement (Hattie et al., 2014 ). Then, we organized the themes of the qualitative studies in several impact categories. Lastly, we synthesized both review and meta-analysis data across the categories. In order to establish a collective understanding of the concept of impact, we referred to a previous impact study by Balanskat ( 2009 ) which investigated the impact of technology in primary schools. In this context, the impact had a more specific ICT-related meaning and was described as “ a significant influence or effect of ICT on the measured or perceived quality of (parts of) education ” (Balanskat, 2009 , p. 9). In the study presented herein, the main impacts are in relation to learning and learners, teaching, and teachers, as well as other key stakeholders who are directly or indirectly connected to the school unit.

The study’s results identified multiple dimensions of the impact of digital technologies on students’ knowledge, skills, and attitudes; on equality, inclusion, and social integration; on teachers’ professional and teaching practices; and on other school-related aspects and stakeholders. The data analysis indicated various factors that might affect the schools’ digital capacity and transformation, such as digital competencies, the teachers’ personal characteristics and professional development, as well as the school’s leadership and management, administration, infrastructure, etc. The impacts and factors found in the literature review are presented below.

Impacts of digital technologies on students’ knowledge, skills, attitudes, and emotions

The impact of ICT use on students’ knowledge, skills, and attitudes has been investigated early in the literature. Eng ( 2005 ) found a small positive effect between ICT use and students' learning. Specifically, the author reported that access to computer-assisted instruction (CAI) programs in simulation or tutorial modes—used to supplement rather than substitute instruction – could enhance student learning. The author reported studies showing that teachers acknowledged the benefits of ICT on pupils with special educational needs; however, the impact of ICT on students' attainment was unclear. Balanskat et al. ( 2006 ) found a statistically significant positive association between ICT use and higher student achievement in primary and secondary education. The authors also reported improvements in the performance of low-achieving pupils. The use of ICT resulted in further positive gains for students, namely increased attention, engagement, motivation, communication and process skills, teamwork, and gains related to their behaviour towards learning. Evidence from qualitative studies showed that teachers, students, and parents recognized the positive impact of ICT on students' learning regardless of their competence level (strong/weak students). Punie et al. ( 2006 ) documented studies that showed positive results of ICT-based learning for supporting low-achieving pupils and young people with complex lives outside the education system. Liao et al. ( 2007 ) reported moderate positive effects of computer application instruction (CAI, computer simulations, and web-based learning) over traditional instruction on primary school student's achievement. Similarly, Tamim et al. ( 2011 ) reported small to moderate positive effects between the use of computer technology (CAI, ICT, simulations, computer-based instruction, digital and hypermedia) and student achievement in formal face-to-face classrooms compared to classrooms that did not use technology. Jewitt et al., ( 2011 ) found that the use of learning platforms (LPs) (virtual learning environments, management information systems, communication technologies, and information- and resource-sharing technologies) in schools allowed primary and secondary students to access a wider variety of quality learning resources, engage in independent and personalized learning, and conduct self- and peer-review; LPs also provide opportunities for teacher assessment and feedback. Similar findings were reported by Fu ( 2013 ), who documented a list of benefits and opportunities of ICT use. According to the author, the use of ICTs helps students access digital information and course content effectively and efficiently, supports student-centered and self-directed learning, as well as the development of a creative learning environment where more opportunities for critical thinking skills are offered, and promotes collaborative learning in a distance-learning environment. Higgins et al. ( 2012 ) found consistent but small positive associations between the use of technology and learning outcomes of school-age learners (5–18-year-olds) in studies linking the provision and use of technology with attainment. Additionally, Chauhan ( 2017 ) reported a medium positive effect of technology on the learning effectiveness of primary school students compared to students who followed traditional learning instruction.

The rise of mobile technologies and hardware devices instigated investigations into their impact on teaching and learning. Sung et al. ( 2016 ) reported a moderate effect on students' performance from the use of mobile devices in the classroom compared to the use of desktop computers or the non-use of mobile devices. Schmid et al. ( 2014 ) reported medium–low to low positive effects of technology integration (e.g., CAI, ICTs) in the classroom on students' achievement and attitude compared to not using technology or using technology to varying degrees. Tamim et al. ( 2015 ) found a low statistically significant effect of the use of tablets and other smart devices in educational contexts on students' achievement outcomes. The authors suggested that tablets offered additional advantages to students; namely, they reported improvements in students’ notetaking, organizational and communication skills, and creativity. Zheng et al. ( 2016 ) reported a small positive effect of one-to-one laptop programs on students’ academic achievement across subject areas. Additional reported benefits included student-centered, individualized, and project-based learning enhanced learner engagement and enthusiasm. Additionally, the authors found that students using one-to-one laptop programs tended to use technology more frequently than in non-laptop classrooms, and as a result, they developed a range of skills (e.g., information skills, media skills, technology skills, organizational skills). Haßler et al. ( 2016 ) found that most interventions that included the use of tablets across the curriculum reported positive learning outcomes. However, from 23 studies, five reported no differences, and two reported a negative effect on students' learning outcomes. Similar results were indicated by Kalati and Kim ( 2022 ) who investigated the effect of touchscreen technologies on young students’ learning. Specifically, from 53 studies, 34 advocated positive effects of touchscreen devices on children’s learning, 17 obtained mixed findings and two studies reported negative effects.

More recently, approaches that refer to the impact of gamification with the use of digital technologies on teaching and learning were also explored. A review by Pan et al. ( 2022 ) that examined the role of learning games in fostering mathematics education in K-12 settings, reported that gameplay improved students’ performance. Integration of digital games in teaching was also found as a promising pedagogical practice in STEM education that could lead to increased learning gains (Martinez et al., 2022 ; Wang et al., 2022 ). However, although Talan et al. ( 2020 ) reported a medium effect of the use of educational games (both digital and non-digital) on academic achievement, the effect of non-digital games was higher.

Over the last two years, the effects of more advanced technologies on teaching and learning were also investigated. Garzón and Acevedo ( 2019 ) found that AR applications had a medium effect on students' learning outcomes compared to traditional lectures. Similarly, Garzón et al. ( 2020 ) showed that AR had a medium impact on students' learning gains. VR applications integrated into various subjects were also found to have a moderate effect on students’ learning compared to control conditions (traditional classes, e.g., lectures, textbooks, and multimedia use, e.g., images, videos, animation, CAI) (Chen et al., 2022b ). Villena-Taranilla et al. ( 2022 ) noted the moderate effect of VR technologies on students’ learning when these were applied in STEM disciplines. In the same meta-analysis, Villena-Taranilla et al. ( 2022 ) highlighted the role of immersive VR, since its effect on students’ learning was greater (at a high level) across educational levels (K-6) compared to semi-immersive and non-immersive integrations. In another meta-analysis study, the effect size of the immersive VR was small and significantly differentiated across educational levels (Coban et al., 2022 ). The impact of AI on education was investigated by Su and Yang ( 2022 ) and Su et al. ( 2022 ), who showed that this technology significantly improved students’ understanding of AI computer science and machine learning concepts.

It is worth noting that the vast majority of studies referred to learning gains in specific subjects. Specifically, several studies examined the impact of digital technologies on students’ literacy skills and reported positive effects on language learning (Balanskat et al., 2006 ; Grgurović et al., 2013 ; Friedel et al., 2013 ; Zheng et al., 2016 ; Chen et al., 2022b ; Savva et al., 2022 ). Also, several studies documented positive effects on specific language learning areas, namely foreign language learning (Kao, 2014 ), writing (Higgins et al., 2012 ; Wen & Walters, 2022 ; Zheng et al., 2016 ), as well as reading and comprehension (Cheung & Slavin, 2011 ; Liao et al., 2007 ; Schwabe et al., 2022 ). ICTs were also found to have a positive impact on students' performance in STEM (science, technology, engineering, and mathematics) disciplines (Arztmann et al., 2022 ; Bado, 2022 ; Villena-Taranilla et al., 2022 ; Wang et al., 2022 ). Specifically, a number of studies reported positive impacts on students’ achievement in mathematics (Balanskat et al., 2006 ; Hillmayr et al., 2020 ; Li & Ma, 2010 ; Pan et al., 2022 ; Ran et al., 2022 ; Verschaffel et al., 2019 ; Zheng et al., 2016 ). Furthermore, studies documented positive effects of ICTs on science learning (Balanskat et al., 2006 ; Liao et al., 2007 ; Zheng et al., 2016 ; Hillmayr et al., 2020 ; Kalemkuş & Kalemkuş, 2022 ; Lei et al., 2022a ). Çelik ( 2022 ) also noted that computer simulations can help students understand learning concepts related to science. Furthermore, some studies documented that the use of ICTs had a positive impact on students’ achievement in other subjects, such as geography, history, music, and arts (Chauhan, 2017 ; Condie & Munro, 2007 ), and design and technology (Balanskat et al., 2006 ).

More specific positive learning gains were reported in a number of skills, e.g., problem-solving skills and pattern exploration skills (Higgins et al., 2012 ), metacognitive learning outcomes (Verschaffel et al., 2019 ), literacy skills, computational thinking skills, emotion control skills, and collaborative inquiry skills (Lu et al., 2022 ; Su & Yang, 2022 ; Su et al., 2022 ). Additionally, several investigations have reported benefits from the use of ICT on students’ creativity (Fielding & Murcia, 2022 ; Liu et al., 2022 ; Quah & Ng, 2022 ). Lastly, digital technologies were also found to be beneficial for enhancing students’ lifelong learning skills (Haleem et al., 2022 ).

Apart from gaining knowledge and skills, studies also reported improvement in motivation and interest in mathematics (Higgins et. al., 2019 ; Fadda et al., 2022 ) and increased positive achievement emotions towards several subjects during interventions using educational games (Lei et al., 2022a ). Chen et al. ( 2022a ) also reported a small but positive effect of digital health approaches in bullying and cyberbullying interventions with K-12 students, demonstrating that technology-based approaches can help reduce bullying and related consequences by providing emotional support, empowerment, and change of attitude. In their meta-review study, Su et al. ( 2022 ) also documented that AI technologies effectively strengthened students’ attitudes towards learning. In another meta-analysis, Arztmann et al. ( 2022 ) reported positive effects of digital games on motivation and behaviour towards STEM subjects.

Impacts of digital technologies on equality, inclusion and social integration

Although most of the reviewed studies focused on the impact of ICTs on students’ knowledge, skills, and attitudes, reports were also made on other aspects in the school context, such as equality, inclusion, and social integration. Condie and Munro ( 2007 ) documented research interventions investigating how ICT can support pupils with additional or special educational needs. While those interventions were relatively small scale and mostly based on qualitative data, their findings indicated that the use of ICTs enabled the development of communication, participation, and self-esteem. A recent meta-analysis (Baragash et al., 2022 ) with 119 participants with different disabilities, reported a significant overall effect size of AR on their functional skills acquisition. Koh’s meta-analysis ( 2022 ) also revealed that students with intellectual and developmental disabilities improved their competence and performance when they used digital games in the lessons.

Istenic Starcic and Bagon ( 2014 ) found that the role of ICT in inclusion and the design of pedagogical and technological interventions was not sufficiently explored in educational interventions with people with special needs; however, some benefits of ICT use were found in students’ social integration. The issue of gender and technology use was mentioned in a small number of studies. Zheng et al. ( 2016 ) reported a statistically significant positive interaction between one-to-one laptop programs and gender. Specifically, the results showed that girls and boys alike benefitted from the laptop program, but the effect on girls’ achievement was smaller than that on boys’. Along the same lines, Arztmann et al. ( 2022 ) reported no difference in the impact of game-based learning between boys and girls, arguing that boys and girls equally benefited from game-based interventions in STEM domains. However, results from a systematic review by Cussó-Calabuig et al. ( 2018 ) found limited and low-quality evidence on the effects of intensive use of computers on gender differences in computer anxiety, self-efficacy, and self-confidence. Based on their view, intensive use of computers can reduce gender differences in some areas and not in others, depending on contextual and implementation factors.

Impacts of digital technologies on teachers’ professional and teaching practices

Various research studies have explored the impact of ICT on teachers’ instructional practices and student assessment. Friedel et al. ( 2013 ) found that the use of mobile devices by students enabled teachers to successfully deliver content (e.g., mobile serious games), provide scaffolding, and facilitate synchronous collaborative learning. The integration of digital games in teaching and learning activities also gave teachers the opportunity to study and apply various pedagogical practices (Bado, 2022 ). Specifically, Bado ( 2022 ) found that teachers who implemented instructional activities in three stages (pre-game, game, and post-game) maximized students’ learning outcomes and engagement. For instance, during the pre-game stage, teachers focused on lectures and gameplay training, at the game stage teachers provided scaffolding on content, addressed technical issues, and managed the classroom activities. During the post-game stage, teachers organized activities for debriefing to ensure that the gameplay had indeed enhanced students’ learning outcomes.

Furthermore, ICT can increase efficiency in lesson planning and preparation by offering possibilities for a more collaborative approach among teachers. The sharing of curriculum plans and the analysis of students’ data led to clearer target settings and improvements in reporting to parents (Balanskat et al., 2006 ).

Additionally, the use and application of digital technologies in teaching and learning were found to enhance teachers’ digital competence. Balanskat et al. ( 2006 ) documented studies that revealed that the use of digital technologies in education had a positive effect on teachers’ basic ICT skills. The greatest impact was found on teachers with enough experience in integrating ICTs in their teaching and/or who had recently participated in development courses for the pedagogical use of technologies in teaching. Punie et al. ( 2006 ) reported that the provision of fully equipped multimedia portable computers and the development of online teacher communities had positive impacts on teachers’ confidence and competence in the use of ICTs.

Moreover, online assessment via ICTs benefits instruction. In particular, online assessments support the digitalization of students’ work and related logistics, allow teachers to gather immediate feedback and readjust to new objectives, and support the improvement of the technical quality of tests by providing more accurate results. Additionally, the capabilities of ICTs (e.g., interactive media, simulations) create new potential methods of testing specific skills, such as problem-solving and problem-processing skills, meta-cognitive skills, creativity and communication skills, and the ability to work productively in groups (Punie et al., 2006 ).

Impacts of digital technologies on other school-related aspects and stakeholders

There is evidence that the effective use of ICTs and the data transmission offered by broadband connections help improve administration (Balanskat et al., 2006 ). Specifically, ICTs have been found to provide better management systems to schools that have data gathering procedures in place. Condie and Munro ( 2007 ) reported impacts from the use of ICTs in schools in the following areas: attendance monitoring, assessment records, reporting to parents, financial management, creation of repositories for learning resources, and sharing of information amongst staff. Such data can be used strategically for self-evaluation and monitoring purposes which in turn can result in school improvements. Additionally, they reported that online access to other people with similar roles helped to reduce headteachers’ isolation by offering them opportunities to share insights into the use of ICT in learning and teaching and how it could be used to support school improvement. Furthermore, ICTs provided more efficient and successful examination management procedures, namely less time-consuming reporting processes compared to paper-based examinations and smooth communications between schools and examination authorities through electronic data exchange (Punie et al., 2006 ).

Zheng et al. ( 2016 ) reported that the use of ICTs improved home-school relationships. Additionally, Escueta et al. ( 2017 ) reported several ICT programs that had improved the flow of information from the school to parents. Particularly, they documented that the use of ICTs (learning management systems, emails, dedicated websites, mobile phones) allowed for personalized and customized information exchange between schools and parents, such as attendance records, upcoming class assignments, school events, and students’ grades, which generated positive results on students’ learning outcomes and attainment. Such information exchange between schools and families prompted parents to encourage their children to put more effort into their schoolwork.

The above findings suggest that the impact of ICT integration in schools goes beyond students’ performance in school subjects. Specifically, it affects a number of school-related aspects, such as equality and social integration, professional and teaching practices, and diverse stakeholders. In Table ​ Table2, 2 , we summarize the different impacts of digital technologies on school stakeholders based on the literature review, while in Table ​ Table3 3 we organized the tools/platforms and practices/policies addressed in the meta-analyses, literature reviews, EU reports, and international bodies included in the manuscript.

The impact of digital technologies on schools’ stakeholders based on the literature review

Tools/platforms and practices/policies addressed in the meta-analyses, literature reviews, EU reports, and international bodies included in the manuscript

Additionally, based on the results of the literature review, there are many types of digital technologies with different affordances (see, for example, studies on VR vs Immersive VR), which evolve over time (e.g. starting from CAIs in 2005 to Augmented and Virtual reality 2020). Furthermore, these technologies are linked to different pedagogies and policy initiatives, which are critical factors in the study of impact. Table ​ Table3 3 summarizes the different tools and practices that have been used to examine the impact of digital technologies on education since 2005 based on the review results.

Factors that affect the integration of digital technologies

Although the analysis of the literature review demonstrated different impacts of the use of digital technology on education, several authors highlighted the importance of various factors, besides the technology itself, that affect this impact. For example, Liao et al. ( 2007 ) suggested that future studies should carefully investigate which factors contribute to positive outcomes by clarifying the exact relationship between computer applications and learning. Additionally, Haßler et al., ( 2016 ) suggested that the neutral findings regarding the impact of tablets on students learning outcomes in some of the studies included in their review should encourage educators, school leaders, and school officials to further investigate the potential of such devices in teaching and learning. Several other researchers suggested that a number of variables play a significant role in the impact of ICTs on students’ learning that could be attributed to the school context, teaching practices and professional development, the curriculum, and learners’ characteristics (Underwood, 2009 ; Tamim et al., 2011 ; Higgins et al., 2012 ; Archer et al., 2014 ; Sung et al., 2016 ; Haßler et al., 2016 ; Chauhan, 2017 ; Lee et al., 2020 ; Tang et al., 2022 ).

Digital competencies

One of the most common challenges reported in studies that utilized digital tools in the classroom was the lack of students’ skills on how to use them. Fu ( 2013 ) found that students’ lack of technical skills is a barrier to the effective use of ICT in the classroom. Tamim et al. ( 2015 ) reported that students faced challenges when using tablets and smart mobile devices, associated with the technical issues or expertise needed for their use and the distracting nature of the devices and highlighted the need for teachers’ professional development. Higgins et al. ( 2012 ) reported that skills training about the use of digital technologies is essential for learners to fully exploit the benefits of instruction.

Delgado et al. ( 2015 ), meanwhile, reported studies that showed a strong positive association between teachers’ computer skills and students’ use of computers. Teachers’ lack of ICT skills and familiarization with technologies can become a constraint to the effective use of technology in the classroom (Balanskat et al., 2006 ; Delgado et al., 2015 ).

It is worth noting that the way teachers are introduced to ICTs affects the impact of digital technologies on education. Previous studies have shown that teachers may avoid using digital technologies due to limited digital skills (Balanskat, 2006 ), or they prefer applying “safe” technologies, namely technologies that their own teachers used and with which they are familiar (Condie & Munro, 2007 ). In this regard, the provision of digital skills training and exposure to new digital tools might encourage teachers to apply various technologies in their lessons (Condie & Munro, 2007 ). Apart from digital competence, technical support in the school setting has also been shown to affect teachers’ use of technology in their classrooms (Delgado et al., 2015 ). Ferrari et al. ( 2011 ) found that while teachers’ use of ICT is high, 75% stated that they needed more institutional support and a shift in the mindset of educational actors to achieve more innovative teaching practices. The provision of support can reduce time and effort as well as cognitive constraints, which could cause limited ICT integration in the school lessons by teachers (Escueta et al., 2017 ).

Teachers’ personal characteristics, training approaches, and professional development

Teachers’ personal characteristics and professional development affect the impact of digital technologies on education. Specifically, Cheok and Wong ( 2015 ) found that teachers’ personal characteristics (e.g., anxiety, self-efficacy) are associated with their satisfaction and engagement with technology. Bingimlas ( 2009 ) reported that lack of confidence, resistance to change, and negative attitudes in using new technologies in teaching are significant determinants of teachers’ levels of engagement in ICT. The same author reported that the provision of technical support, motivation support (e.g., awards, sufficient time for planning), and training on how technologies can benefit teaching and learning can eliminate the above barriers to ICT integration. Archer et al. ( 2014 ) found that comfort levels in using technology are an important predictor of technology integration and argued that it is essential to provide teachers with appropriate training and ongoing support until they are comfortable with using ICTs in the classroom. Hillmayr et al. ( 2020 ) documented that training teachers on ICT had an important effecton students’ learning.

According to Balanskat et al. ( 2006 ), the impact of ICTs on students’ learning is highly dependent on the teachers’ capacity to efficiently exploit their application for pedagogical purposes. Results obtained from the Teaching and Learning International Survey (TALIS) (OECD, 2021 ) revealed that although schools are open to innovative practices and have the capacity to adopt them, only 39% of teachers in the European Union reported that they are well or very well prepared to use digital technologies for teaching. Li and Ma ( 2010 ) and Hardman ( 2019 ) showed that the positive effect of technology on students’ achievement depends on the pedagogical practices used by teachers. Schmid et al. ( 2014 ) reported that learning was best supported when students were engaged in active, meaningful activities with the use of technological tools that provided cognitive support. Tamim et al. ( 2015 ) compared two different pedagogical uses of tablets and found a significant moderate effect when the devices were used in a student-centered context and approach rather than within teacher-led environments. Similarly, Garzón and Acevedo ( 2019 ) and Garzón et al. ( 2020 ) reported that the positive results from the integration of AR applications could be attributed to the existence of different variables which could influence AR interventions (e.g., pedagogical approach, learning environment, and duration of the intervention). Additionally, Garzón et al. ( 2020 ) suggested that the pedagogical resources that teachers used to complement their lectures and the pedagogical approaches they applied were crucial to the effective integration of AR on students’ learning gains. Garzón and Acevedo ( 2019 ) also emphasized that the success of a technology-enhanced intervention is based on both the technology per se and its characteristics and on the pedagogical strategies teachers choose to implement. For instance, their results indicated that the collaborative learning approach had the highest impact on students’ learning gains among other approaches (e.g., inquiry-based learning, situated learning, or project-based learning). Ran et al. ( 2022 ) also found that the use of technology to design collaborative and communicative environments showed the largest moderator effects among the other approaches.

Hattie ( 2008 ) reported that the effective use of computers is associated with training teachers in using computers as a teaching and learning tool. Zheng et al. ( 2016 ) noted that in addition to the strategies teachers adopt in teaching, ongoing professional development is also vital in ensuring the success of technology implementation programs. Sung et al. ( 2016 ) found that research on the use of mobile devices to support learning tends to report that the insufficient preparation of teachers is a major obstacle in implementing effective mobile learning programs in schools. Friedel et al. ( 2013 ) found that providing training and support to teachers increased the positive impact of the interventions on students’ learning gains. Trucano ( 2005 ) argued that positive impacts occur when digital technologies are used to enhance teachers’ existing pedagogical philosophies. Higgins et al. ( 2012 ) found that the types of technologies used and how they are used could also affect students’ learning. The authors suggested that training and professional development of teachers that focuses on the effective pedagogical use of technology to support teaching and learning is an important component of successful instructional approaches (Higgins et al., 2012 ). Archer et al. ( 2014 ) found that studies that reported ICT interventions during which teachers received training and support had moderate positive effects on students’ learning outcomes, which were significantly higher than studies where little or no detail about training and support was mentioned. Fu ( 2013 ) reported that the lack of teachers’ knowledge and skills on the technical and instructional aspects of ICT use in the classroom, in-service training, pedagogy support, technical and financial support, as well as the lack of teachers’ motivation and encouragement to integrate ICT on their teaching were significant barriers to the integration of ICT in education.

School leadership and management

Management and leadership are important cornerstones in the digital transformation process (Pihir et al., 2018 ). Zheng et al. ( 2016 ) documented leadership among the factors positively affecting the successful implementation of technology integration in schools. Strong leadership, strategic planning, and systematic integration of digital technologies are prerequisites for the digital transformation of education systems (Ređep, 2021 ). Management and leadership play a significant role in formulating policies that are translated into practice and ensure that developments in ICT become embedded into the life of the school and in the experiences of staff and pupils (Condie & Munro, 2007 ). Policy support and leadership must include the provision of an overall vision for the use of digital technologies in education, guidance for students and parents, logistical support, as well as teacher training (Conrads et al., 2017 ). Unless there is a commitment throughout the school, with accountability for progress at key points, it is unlikely for ICT integration to be sustained or become part of the culture (Condie & Munro, 2007 ). To achieve this, principals need to adopt and promote a whole-institution strategy and build a strong mutual support system that enables the school’s technological maturity (European Commission, 2019 ). In this context, school culture plays an essential role in shaping the mindsets and beliefs of school actors towards successful technology integration. Condie and Munro ( 2007 ) emphasized the importance of the principal’s enthusiasm and work as a source of inspiration for the school staff and the students to cultivate a culture of innovation and establish sustainable digital change. Specifically, school leaders need to create conditions in which the school staff is empowered to experiment and take risks with technology (Elkordy & Lovinelli, 2020 ).

In order for leaders to achieve the above, it is important to develop capacities for learning and leading, advocating professional learning, and creating support systems and structures (European Commission, 2019 ). Digital technology integration in education systems can be challenging and leadership needs guidance to achieve it. Such guidance can be introduced through the adoption of new methods and techniques in strategic planning for the integration of digital technologies (Ređep, 2021 ). Even though the role of leaders is vital, the relevant training offered to them has so far been inadequate. Specifically, only a third of the education systems in Europe have put in place national strategies that explicitly refer to the training of school principals (European Commission, 2019 , p. 16).

Connectivity, infrastructure, and government and other support

The effective integration of digital technologies across levels of education presupposes the development of infrastructure, the provision of digital content, and the selection of proper resources (Voogt et al., 2013 ). Particularly, a high-quality broadband connection in the school increases the quality and quantity of educational activities. There is evidence that ICT increases and formalizes cooperative planning between teachers and cooperation with managers, which in turn has a positive impact on teaching practices (Balanskat et al., 2006 ). Additionally, ICT resources, including software and hardware, increase the likelihood of teachers integrating technology into the curriculum to enhance their teaching practices (Delgado et al., 2015 ). For example, Zheng et al. ( 2016 ) found that the use of one-on-one laptop programs resulted in positive changes in teaching and learning, which would not have been accomplished without the infrastructure and technical support provided to teachers. Delgado et al. ( 2015 ) reported that limited access to technology (insufficient computers, peripherals, and software) and lack of technical support are important barriers to ICT integration. Access to infrastructure refers not only to the availability of technology in a school but also to the provision of a proper amount and the right types of technology in locations where teachers and students can use them. Effective technical support is a central element of the whole-school strategy for ICT (Underwood, 2009 ). Bingimlas ( 2009 ) reported that lack of technical support in the classroom and whole-school resources (e.g., failing to connect to the Internet, printers not printing, malfunctioning computers, and working on old computers) are significant barriers that discourage the use of ICT by teachers. Moreover, poor quality and inadequate hardware maintenance, and unsuitable educational software may discourage teachers from using ICTs (Balanskat et al., 2006 ; Bingimlas, 2009 ).

Government support can also impact the integration of ICTs in teaching. Specifically, Balanskat et al. ( 2006 ) reported that government interventions and training programs increased teachers’ enthusiasm and positive attitudes towards ICT and led to the routine use of embedded ICT.

Lastly, another important factor affecting digital transformation is the development and quality assurance of digital learning resources. Such resources can be support textbooks and related materials or resources that focus on specific subjects or parts of the curriculum. Policies on the provision of digital learning resources are essential for schools and can be achieved through various actions. For example, some countries are financing web portals that become repositories, enabling teachers to share resources or create their own. Additionally, they may offer e-learning opportunities or other services linked to digital education. In other cases, specific agencies of projects have also been set up to develop digital resources (Eurydice, 2019 ).

Administration and digital data management

The digital transformation of schools involves organizational improvements at the level of internal workflows, communication between the different stakeholders, and potential for collaboration. Vuorikari et al. ( 2020 ) presented evidence that digital technologies supported the automation of administrative practices in schools and reduced the administration’s workload. There is evidence that digital data affects the production of knowledge about schools and has the power to transform how schooling takes place. Specifically, Sellar ( 2015 ) reported that data infrastructure in education is developing due to the demand for “ information about student outcomes, teacher quality, school performance, and adult skills, associated with policy efforts to increase human capital and productivity practices ” (p. 771). In this regard, practices, such as datafication which refers to the “ translation of information about all kinds of things and processes into quantified formats” have become essential for decision-making based on accountability reports about the school’s quality. The data could be turned into deep insights about education or training incorporating ICTs. For example, measuring students’ online engagement with the learning material and drawing meaningful conclusions can allow teachers to improve their educational interventions (Vuorikari et al., 2020 ).

Students’ socioeconomic background and family support

Research show that the active engagement of parents in the school and their support for the school’s work can make a difference to their children’s attitudes towards learning and, as a result, their achievement (Hattie, 2008 ). In recent years, digital technologies have been used for more effective communication between school and family (Escueta et al., 2017 ). The European Commission ( 2020 ) presented data from a Eurostat survey regarding the use of computers by students during the pandemic. The data showed that younger pupils needed additional support and guidance from parents and the challenges were greater for families in which parents had lower levels of education and little to no digital skills.

In this regard, the socio-economic background of the learners and their socio-cultural environment also affect educational achievements (Punie et al., 2006 ). Trucano documented that the use of computers at home positively influenced students’ confidence and resulted in more frequent use at school, compared to students who had no home access (Trucano, 2005 ). In this sense, the socio-economic background affects the access to computers at home (OECD, 2015 ) which in turn influences the experience of ICT, an important factor for school achievement (Punie et al., 2006 ; Underwood, 2009 ). Furthermore, parents from different socio-economic backgrounds may have different abilities and availability to support their children in their learning process (Di Pietro et al., 2020 ).

Schools’ socioeconomic context and emergency situations

The socio-economic context of the school is closely related to a school’s digital transformation. For example, schools in disadvantaged, rural, or deprived areas are likely to lack the digital capacity and infrastructure required to adapt to the use of digital technologies during emergency periods, such as the COVID-19 pandemic (Di Pietro et al., 2020 ). Data collected from school principals confirmed that in several countries, there is a rural/urban divide in connectivity (OECD, 2015 ).

Emergency periods also affect the digitalization of schools. The COVID-19 pandemic led to the closure of schools and forced them to seek appropriate and connective ways to keep working on the curriculum (Di Pietro et al., 2020 ). The sudden large-scale shift to distance and online teaching and learning also presented challenges around quality and equity in education, such as the risk of increased inequalities in learning, digital, and social, as well as teachers facing difficulties coping with this demanding situation (European Commission, 2020 ).

Looking at the findings of the above studies, we can conclude that the impact of digital technologies on education is influenced by various actors and touches many aspects of the school ecosystem. Figure  1 summarizes the factors affecting the digital technologies’ impact on school stakeholders based on the findings from the literature review.

Factors that affect the impact of ICTs on education

The findings revealed that the use of digital technologies in education affects a variety of actors within a school’s ecosystem. First, we observed that as technologies evolve, so does the interest of the research community to apply them to school settings. Figure  2 summarizes the trends identified in current research around the impact of digital technologies on schools’ digital capacity and transformation as found in the present study. Starting as early as 2005, when computers, simulations, and interactive boards were the most commonly applied tools in school interventions (e.g., Eng, 2005 ; Liao et al., 2007 ; Moran et al., 2008 ; Tamim et al., 2011 ), moving towards the use of learning platforms (Jewitt et al., 2011 ), then to the use of mobile devices and digital games (e.g., Tamim et al., 2015 ; Sung et al., 2016 ; Talan et al., 2020 ), as well as e-books (e.g., Savva et al., 2022 ), to the more recent advanced technologies, such as AR and VR applications (e.g., Garzón & Acevedo, 2019 ; Garzón et al., 2020 ; Kalemkuş & Kalemkuş, 2022 ), or robotics and AI (e.g., Su & Yang, 2022 ; Su et al., 2022 ). As this evolution shows, digital technologies are a concept in flux with different affordances and characteristics. Additionally, from an instructional perspective, there has been a growing interest in different modes and models of content delivery such as online, blended, and hybrid modes (e.g., Cheok & Wong, 2015 ; Kazu & Yalçin, 2022 ; Ulum, 2022 ). This is an indication that the value of technologies to support teaching and learning as well as other school-related practices is increasingly recognized by the research and school community. The impact results from the literature review indicate that ICT integration on students’ learning outcomes has effects that are small (Coban et al., 2022 ; Eng, 2005 ; Higgins et al., 2012 ; Schmid et al., 2014 ; Tamim et al., 2015 ; Zheng et al., 2016 ) to moderate (Garzón & Acevedo, 2019 ; Garzón et al., 2020 ; Liao et al., 2007 ; Sung et al., 2016 ; Talan et al., 2020 ; Wen & Walters, 2022 ). That said, a number of recent studies have reported high effect sizes (e.g., Kazu & Yalçin, 2022 ).

Current work and trends in the study of the impact of digital technologies on schools’ digital capacity

Based on these findings, several authors have suggested that the impact of technology on education depends on several variables and not on the technology per se (Tamim et al., 2011 ; Higgins et al., 2012 ; Archer et al., 2014 ; Sung et al., 2016 ; Haßler et al., 2016 ; Chauhan, 2017 ; Lee et al., 2020 ; Lei et al., 2022a ). While the impact of ICTs on student achievement has been thoroughly investigated by researchers, other aspects related to school life that are also affected by ICTs, such as equality, inclusion, and social integration have received less attention. Further analysis of the literature review has revealed a greater investment in ICT interventions to support learning and teaching in the core subjects of literacy and STEM disciplines, especially mathematics, and science. These were the most common subjects studied in the reviewed papers often drawing on national testing results, while studies that investigated other subject areas, such as social studies, were limited (Chauhan, 2017 ; Condie & Munro, 2007 ). As such, research is still lacking impact studies that focus on the effects of ICTs on a range of curriculum subjects.

The qualitative research provided additional information about the impact of digital technologies on education, documenting positive effects and giving more details about implications, recommendations, and future research directions. Specifically, the findings regarding the role of ICTs in supporting learning highlight the importance of teachers’ instructional practice and the learning context in the use of technologies and consequently their impact on instruction (Çelik, 2022 ; Schmid et al., 2014 ; Tamim et al., 2015 ). The review also provided useful insights regarding the various factors that affect the impact of digital technologies on education. These factors are interconnected and play a vital role in the transformation process. Specifically, these factors include a) digital competencies; b) teachers’ personal characteristics and professional development; c) school leadership and management; d) connectivity, infrastructure, and government support; e) administration and data management practices; f) students’ socio-economic background and family support and g) the socioeconomic context of the school and emergency situations. It is worth noting that we observed factors that affect the integration of ICTs in education but may also be affected by it. For example, the frequent use of ICTs and the use of laptops by students for instructional purposes positively affect the development of digital competencies (Zheng et al., 2016 ) and at the same time, the digital competencies affect the use of ICTs (Fu, 2013 ; Higgins et al., 2012 ). As a result, the impact of digital technologies should be explored more as an enabler of desirable and new practices and not merely as a catalyst that improves the output of the education process i.e. namely student attainment.

Conclusions

Digital technologies offer immense potential for fundamental improvement in schools. However, investment in ICT infrastructure and professional development to improve school education are yet to provide fruitful results. Digital transformation is a complex process that requires large-scale transformative changes that presuppose digital capacity and preparedness. To achieve such changes, all actors within the school’s ecosystem need to share a common vision regarding the integration of ICTs in education and work towards achieving this goal. Our literature review, which synthesized quantitative and qualitative data from a list of meta-analyses and review studies, provided useful insights into the impact of ICTs on different school stakeholders and showed that the impact of digital technologies touches upon many different aspects of school life, which are often overlooked when the focus is on student achievement as the final output of education. Furthermore, the concept of digital technologies is a concept in flux as technologies are not only different among them calling for different uses in the educational practice but they also change through time. Additionally, we opened a forum for discussion regarding the factors that affect a school’s digital capacity and transformation. We hope that our study will inform policy, practice, and research and result in a paradigm shift towards more holistic approaches in impact and assessment studies.

Study limitations and future directions

We presented a review of the study of digital technologies' impact on education and factors influencing schools’ digital capacity and transformation. The study results were based on a non-systematic literature review grounded on the acquisition of documentation in specific databases. Future studies should investigate more databases to corroborate and enhance our results. Moreover, search queries could be enhanced with key terms that could provide additional insights about the integration of ICTs in education, such as “policies and strategies for ICT integration in education”. Also, the study drew information from meta-analyses and literature reviews to acquire evidence about the effects of ICT integration in schools. Such evidence was mostly based on the general conclusions of the studies. It is worth mentioning that, we located individual studies which showed different, such as negative or neutral results. Thus, further insights are needed about the impact of ICTs on education and the factors influencing the impact. Furthermore, the nature of the studies included in meta-analyses and reviews is different as they are based on different research methodologies and data gathering processes. For instance, in a meta-analysis, the impact among the studies investigated is measured in a particular way, depending on policy or research targets (e.g., results from national examinations, pre-/post-tests). Meanwhile, in literature reviews, qualitative studies offer additional insights and detail based on self-reports and research opinions on several different aspects and stakeholders who could affect and be affected by ICT integration. As a result, it was challenging to draw causal relationships between so many interrelating variables.

Despite the challenges mentioned above, this study envisaged examining school units as ecosystems that consist of several actors by bringing together several variables from different research epistemologies to provide an understanding of the integration of ICTs. However, the use of other tools and methodologies and models for evaluation of the impact of digital technologies on education could give more detailed data and more accurate results. For instance, self-reflection tools, like SELFIE—developed on the DigCompOrg framework- (Kampylis et al., 2015 ; Bocconi & Lightfoot, 2021 ) can help capture a school’s digital capacity and better assess the impact of ICTs on education. Furthermore, the development of a theory of change could be a good approach for documenting the impact of digital technologies on education. Specifically, theories of change are models used for the evaluation of interventions and their impact; they are developed to describe how interventions will work and give the desired outcomes (Mayne, 2015 ). Theory of change as a methodological approach has also been used by researchers to develop models for evaluation in the field of education (e.g., Aromatario et al., 2019 ; Chapman & Sammons, 2013 ; De Silva et al., 2014 ).

We also propose that future studies aim at similar investigations by applying more holistic approaches for impact assessment that can provide in-depth data about the impact of digital technologies on education. For instance, future studies could focus on different research questions about the technologies that are used during the interventions or the way the implementation takes place (e.g., What methodologies are used for documenting impact? How are experimental studies implemented? How can teachers be taken into account and trained on the technology and its functions? What are the elements of an appropriate and successful implementation? How is the whole intervention designed? On which learning theories is the technology implementation based?).

Future research could also focus on assessing the impact of digital technologies on various other subjects since there is a scarcity of research related to particular subjects, such as geography, history, arts, music, and design and technology. More research should also be done about the impact of ICTs on skills, emotions, and attitudes, and on equality, inclusion, social interaction, and special needs education. There is also a need for more research about the impact of ICTs on administration, management, digitalization, and home-school relationships. Additionally, although new forms of teaching and learning with the use of ICTs (e.g., blended, hybrid, and online learning) have initiated several investigations in mainstream classrooms, only a few studies have measured their impact on students’ learning. Additionally, our review did not document any study about the impact of flipped classrooms on K-12 education. Regarding teaching and learning approaches, it is worth noting that studies referred to STEM or STEAM did not investigate the impact of STEM/STEAM as an interdisciplinary approach to learning but only investigated the impact of ICTs on learning in each domain as a separate subject (science, technology, engineering, arts, mathematics). Hence, we propose future research to also investigate the impact of the STEM/STEAM approach on education. The impact of emerging technologies on education, such as AR, VR, robotics, and AI has also been investigated recently, but more work needs to be done.

Finally, we propose that future studies could focus on the way in which specific factors, e.g., infrastructure and government support, school leadership and management, students’ and teachers’ digital competencies, approaches teachers utilize in the teaching and learning (e.g., blended, online and hybrid learning, flipped classrooms, STEM/STEAM approach, project-based learning, inquiry-based learning), affect the impact of digital technologies on education. We hope that future studies will give detailed insights into the concept of schools’ digital transformation through further investigation of impacts and factors which influence digital capacity and transformation based on the results and the recommendations of the present study.

Acknowledgements

This project has received funding under Grant Agreement No Ref Ares (2021) 339036 7483039 as well as funding from the European Union’s Horizon 2020 Research and Innovation Program under Grant Agreement No 739578 and the Government of the Republic of Cyprus through the Deputy Ministry of Research, Innovation and Digital Policy. The UVa co-authors would like also to acknowledge funding from the European Regional Development Fund and the National Research Agency of the Spanish Ministry of Science and Innovation, under project grant PID2020-112584RB-C32.

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Trends and Topics in Educational Technology, 2024 Edition

• Column: Editorial
• Published: 21 March 2024
• Volume 68 , pages 402–410, ( 2024 )

Cite this article

• Bohdana Allman 1 ,
• Royce Kimmons 1 ,
• Wei Wang 2 ,
• Hanhui Bao 2 ,
• Joshua M. Rosenberg 2 &
• Matthew J. Koehler 3  

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Introduction

This editorial continues to landscape the trends and popular educational technology topics for 2023. We used the public internet data mining approach from previous years (Allman et al., 2023b ; Kimmons, 2020 ; Kimmons & Rosenberg, 2022 ; Kimmons et al., 2021 ). This year, we extracted and analyzed data from the Scopus research article database, K-12 school and district Facebook pages, and the open publishing platform EdTech Books. We also looked closer at two key terms—“artificial intelligence” and “OER”—using Google Custom Search API to examine patterns in the higher education context and the description of resources from the Teachers Pay Teachers (TPT) website for insights in the K-12 context. This year, we no longer utilized the X (formerly Twitter) #EdTech affinity group as a data source because of the changes to the platform/accessibility of the data. Our analysis represents snapshots of 2023 trends in educational technology from these dataset angles, furthering our understanding of current EdTech community’s attitudes, behaviors, and leanings and underpinning a predictive vision of future trends in the field.

What Were Trends in EdTech Journals in 2023?

For insight into which research topics were trending in the field in 2023, we analyzed article titles published in the top educational technology journals during the year. We utilized a similar methodology as in previous years (Kimmons et al., 2021 ; Kimmons & Rosenberg, 2022 ; Allman et al., 2023b ) and compiled a list of 3,355 articles published in 2023 from the top educational technology journals (n = 18) as identified by Google Scholar and retrieved via the Scopus API. See Table  1 for the list of journals included in the analysis. Following this, we looked at the frequencies of each keyword and n-gram (multi-word phrase) appearing in the titles to identify potential trends.

We then manually categorized top keywords and n-grams into three information types suggested by the data: “Contexts,” “Methods,” and a broader category of “Topics, Tools, and Modalities” (see Table  2 ). Contexts included terms related to the research settings, such as “high school” or “university.” Methods included descriptors of the research methods, such as “systematic review” or “case study.” Topics, Tools, and Modalities included a more comprehensive array of terms, such as “online,” “learning analytics,” and “virtual reality.” Notably, in previous years, we had separated modalities into their own section, but this separation seemed to become increasingly arbitrary and unnecessary (e.g., is VR a topic or a modality?). So, we combined modalities and topics into a common category. We included all relevant n-grams above 0.5% and their comparatively ranked keywords in the table.

Table 2 suggests several noteworthy findings. Regarding contexts, higher education was far more common as a setting for educational technology studies than K-12, and secondary schools were more represented than elementary schools. This suggests an inverted pyramid representation of EdTech research being done at different educational levels, a trend that we saw in previous analyses (Allman et al., 2023b ). Referenced physical locations also focused on school settings, suggesting an emphasis on formal (rather than informal or non-formal) learning. As expected, references to COVID-19 declined from the previous year (3.6% to 2.4%). Relatively high on the list were also references to language learning. Specifically, search terms “language” (n = 169, 5.0%) and “EFL” (n = 95; 2.8%) and related n-grams “language learning” (n = 54; 1.6%), “EFL learner” (n = 37; 1.1%), and “foreign language” (n = 28, 0.8%). Additionally, references to “support” (n = 124, 3.7%), “professional,” and “preservice” (both n = 64; 1.9%) and n-grams “preservice teacher” (n = 49, 1.9%) and “professional development” (n = 22, 0.7%) might be worth noticing as important context keywords for studies carried out in 2023.

The most commonly referenced n-grams related to research methods mentioned in 2023 titles were secondary data analysis methods, specifically “systematic OR scoping OR literature reviews” (n = 194, 5.8%) and “meta-analyses” (n = 49, 1.9%). The most common primary data analysis method n-grams included “machine learning” (n = 43, 1.3%), “case study” (n = 43, 1.3%), “network analysis” (n = 23, 0.7%), and “mixed methods” (n = 24, 0.7%). Additionally, several keywords related to measuring educational success in the titles of 2023 journal articles are noteworthy. Specifically, search terms “effect” (n = 202, 6.0%), “performance” (n = 193, 5.8%), “impact” (n = 148, 4.4%), “evaluation” (n = 82, 2.4%), “effectiveness” and “achievement” (both n = 77, 2.3%), and “outcome” (n = 68, 2.0%).

Regarding modality, the dominant term continues to be “online” (n = 469, 14%) and the n-gram “online teaching OR online learning” (n = 150, 4.5%), outnumbering the next-highest n-gram, “blended learning” (n = 31, 0.9%), at a rate of 5-to-1. Although, from closer investigation of the titles, it appears that “online,” “distance,” “blended,” “remote,” and a variety of other terms are sometimes used interchangeably to describe a broad spectrum of internet-mediated synchronous or asynchronous learning situations. Immersive environments, in the form of “virtual,” “augmented,” and “mixed reality,” in that order, were also of interest. Specifically, the search term “virtual” appeared 188 times (5.6%), and n-grams “virtual reality” were seen 110 times (3.3%), “augmented reality” 63 times (1.9%), and “immersive virtual” 22 times (0.7%). Notably, references to “artificial intelligence” more than doubled from the previous year (n = 91, increase from 1.4% to 2.7%), and “learning analytics” also saw increased attention (n = 72, 1.6% to 2.1%).

What Was Trending among School and School District Facebook Groups in 2023?

The comprehensive analysis of hyperlinks shared on school and district Facebook pages revealed significant trends in technology adoption and usage within K-12 educational settings. Table 3 showcases the top fifteen domains by their prevalence and highlights the evolving landscape of digital tools in education from 2021 to 2023.

To identify the technologies shared on school and district Facebook pages, we scrutinized the domain names of all hyperlinks posted across 16,309 publicly accessible pages, totaling 10,597,076 posts. Executing this analysis involved exploring the homepages of all schools and school districts in the U.S. for links to Facebook pages. Subsequently, we uploaded the identified links to Facebook pages onto the CrowdTangle platform to access publicly available posts for the years 2021–2023 and identified the domains of websites linked within schools' and districts' posts. Additional details on the data collection approach can be found in Rosenberg et al. ( 2022 ). The top fifteen most-shared domains, delineated by year (2021, 2022, and 2023), are presented in Table  3 . The following explanation may help the reader interpret the table. For instance, in 2023, 7049, or 43% of schools or districts with publicly accessible Facebook pages, shared one or more links to docs.google.com , and the domain was shared on average 5.3 times.

Upon reviewing the years 2021 to 2023, we observed the continued dominance of Google services, with Google Docs maintaining its position as the most shared domain for three consecutive years, as highlighted in prior research (Allman et al., 2023b ). YouTube follows closely behind, indicating the sustained prevalence of Google services in the mainstream usage of schools and school districts, underscoring the stability of these technologies within educational institutions. Simultaneously, we noted a significant decline in the percentage of YouTube links from 44% in 2021 and 41% in 2022 to 33% in 2023. This shift might reflect a broader trend towards prioritizing the digital privacy and security of students within the educational community, influencing how schools and districts curate and share content on social media platforms. The trend in Zoom links continues to decline, with the proportion of districts sharing Zoom links decreasing from 21% in 2021 to 11% in 2022 and further dropping to 7% in 2023. This decline aligns with the reduced engagement in remote activities across various schools and school districts. Additionally, tools facilitating event sign-ups, exemplified by SignUpGenius and gofan.co , experienced steady increases, indicating a surge in posts promoting event registrations post-COVID-19 pandemic. Other domains, such as bookfairs.scholastic.com , smore.com , eventbrite.com , and surveymonkey.com , have consistently maintained their presence in the top ten over the past three years. Their similar frequency suggests the sustained importance of tools for school-parent communication, book sales, event management, and survey services within K-12 schools and districts.

What Were Trends in EdTech Open Educational Resources (OER) in 2023?

In addition to Scopus and social media trends, we also examined an EdTech-focused Open Educational Resource (OER) platform EdTech Books ( https://edtechbooks.org ). OER are “teaching, learning, and research materials that reside in the public domain or have been released under an open license that permits their free use and re-purposing by others” (Creative Commons, 2020 ). OER can take various forms and sizes, including textbooks, lessons, courses, learning activities, assessments, technologies, syllabi, images, presentations, videos, and graphics. Being ‘open’ means that OER is freely accessible to anyone with internet access and can be retained, reused, redistributed, revised, and remixed as needed (Wiley, n.d. ), providing significant opportunities for improving “the quality and affordability of education for learners everywhere” (Wiley & Hilton, 2018 , p. 144). Research has repeatedly shown that OER quality is comparable to commercial resources (Clinton & Khan, 2019 ; Kimmons, 2015 ), and their adoption does not negatively impact student learning (Hilton, 2016 , 2019 ) while saving students money (Clinton, 2018 ; Hilton, 2016 ; Ikahihifo et al., 2017 ) and providing a variety of other benefits (Kimmons, 2016 ). In 2023, almost two-thirds (64%) of U.S. higher education faculty are aware of OER, and 29% of faculty require OER in their courses (Seaman & Seaman, 2023b ).

For this year’s OER analysis, we again selected EdTech Books as the authors are most familiar with this platform and have ready access to data. In 2023, ETB provided free OER to more than 1.5 million users worldwide. We believe that as an EdTech-focused platform, EdTech Books analytics may provide valuable insights into user behavior and how OER are developed, adopted, and used in our field.

A perusal of the most popular books (Table  4 ) and chapters (Table  5 ) revealed that readers seemed to be drawn to these resources when they were seeking information on broad theoretical aspects of educational technology (e.g., behaviorism, constructivism, socioculturalism), technology-specific guidance (e.g., how to use a specific tool), or research and evaluation guidelines (e.g., mixed methods or sampling procedures). This is consistent with our findings from last year (Allman et al., 2023b ).

A closer analysis of the most popular books and chapters suggested that the top trending chapters are most influenced by organic traffic via search engines rather than direct links (such as from a course). This underscores the importance of indexing and optimizing OER resources to increase exposure and impact. On the other hand, EdTech books that were most accessed may have been influenced by OER adoption behaviors and instructors’ pedagogical decisions as part of formal access to instructional resources. For example, students might have been instructed to read carefully, which could mean accessing longer chapters several times or downloading them as PDF for annotation or later retrieval. Another instructor may encourage the use of social annotation tools, such as Hypothesis, to complete collaborative classroom assignments, encouraging students to return to a chapter several times and thus increasing overall book views. Additionally, ease of access or anticipation of fees to access may also explain why some books have higher PDF downloads than expected. For example, West’s Foundations of Learning and Instructional Design Technology (highest PDF downloads) is often sought out with search terms like “instructional design pdf,” which suggests that learners are intentionally seeking local copies of these particular resources.

We found that the United States (29.7%), the Philippines (14.1%), and India (6.2%) were again the heaviest users of the platform, with overall use of the platform becoming less centralized to the U.S. We also found an increase in overall mobile device access to the platform, with 39.7% of users accessing on a phone as opposed to 59% on a desktop or laptop. This reveals an increasing trend of globalization of educational-technology-related OER and the need to be attentive to their accessibility with various device configurations and bandwidth limitations.

References to Artificial Intelligence and OER on University Websites and Teachers Pay Teachers

Further exploring how large public data sources might help us identify patterns in the field, we used the Google Custom Search API to scrape data from university websites (cf., such as Kimmons & Veletsianos, 2021 and Veletsianos et al., 2023 ) and descriptions of resources uploaded to the popular curricular sharing site Teachers Pay Teachers (TPT) to understand the frequencies and nature of references to two key terms of particular interest to the authors: “artificial intelligence” and “OER”.

In considering Google indexing results of university websites, it is necessary to limit analyses to a few sets of interesting a priori terms. So, for this analysis, we limited our considerations to AI, given its current interest in the larger social context, and OER, given its attention in educational technology and the topic’s relationship to university missions as public caretakers of knowledge. Results showed that 66.4% of universities mentioned “generative artificial intelligence,” “generative AI,” or “ChatGPT,” and 47.7% referenced “open educational resource” or “open textbook,” with references to generative AI outnumbering references to OER at a rate of nearly 5-to-1 (see Table  6 ). In both cases, politically blue states (Democratic according to the most recent U.S. presidential election) were more likely to reference these technologies than were politically red (Republican) states. However, urban states were more likely to reference “AI,” and rural states were more likely to reference “OER.” Rhode Island, Utah, and Idaho were among the most likely to mention both, and Wyoming was the least likely to mention either. Interestingly, Hawaii was the most likely to mention artificial intelligence but was among the least likely to mention OER. This pattern suggests sociopolitical and economic differences in how educators pay attention to these technologies. Also, it suggests that universities may be more actively playing into the hype of new technologies (e.g., “AI”) in their communication efforts than serving as public distributors of valuable knowledge to their communities (e.g., “OER”).

In a similar vein, data extracted from the TPT website spanning from 2021 to 2023, encompassing 3,936,779 entries, were explored. Specific details regarding the data collection method can be found in (Shelton et al., 2022 ). The analysis revealed a total of 3,303 instances referencing AI-related keywords, including "generative artificial intelligence," "generative AI," "artificial intelligence," "DALL-E," and "ChatGPT." In contrast, mentions of "open educational resource" or "open textbook" numbered 4,285 (see Table  7 for details).

The analysis of the data suggested a growing trend of references to AI-related educational resources on the TPT platform from 2021 to 2023. Notably, despite the proportion of AI-related resources being low before 2023, there has been a remarkable uptick in interest. The number of AI-related resources in 2021 and 2022 were less than 0.05%. Specifically, in 2021, only 521 out of 1,060,241 or 0.049% of total resources and 528 out of 1,268,771 (0.042%) resources in 2022 were related to AI. In 2023, the mentions of AI surged to 2,254 out of 1,607,767 or 0.14% resources, representing almost a threefold increase from the 2022 figures, indicating a burgeoning interest in AI within K-12 educational resources. This surge aligns with the rising interest and integration of AI in educational settings, particularly following the release of generative artificial intelligence tools like ChatGPT in November 2022, reflecting educators' growing curiosity and the pressing need to incorporate AI into their teaching resources.

Compared to the mentions of Open Educational Resources (OER), AI references are fewer in number. However, the ratio of nearly 1-to-1.3 (AI to OER) suggests that AI is also becoming a topic of significant interest within educational resources in the K-12 setting. This is particularly noteworthy given that OERs have been a mainstay in educational discussions for a longer period, emphasizing the rapid ascension of AI as a key area of focus. The increasing mention of specific AI tools like "DALL-E" and "ChatGPT" possibly indicates a shift in the educational resource landscape, where innovative AI tools are starting to play a central role in creating and disseminating educational content. This shift could be attributed to the capabilities of generative AI, offering novel approaches to personalized learning, automated content generation, and interactive learning experiences. The disparity between the growth of AI vs. OER references could also reflect the evolving nature of educational technology, where there is a move from traditional open resources to more dynamic, adaptive, and personalized learning experiences AI offers. Integrating AI in educational resources can represent a transformative step in educational technology, potentially reshaping how educational content is created, distributed, and consumed. However, as AI online educational resources rapidly expand, concerns like academic fraud, information bias, and ethical dilemmas arise and deserve closer attention. Recommendations from educational technology experts are especially relevant and needed since markets often lack the motivation to regulate content under platform capitalism (Rodríguez et al., 2020 ).

Discussion and Conclusion

The analyses of the data from Scopus, Facebook, and EdTech Books, as well as the examination of AI and OER-related terms using Google Custom Search API and Teachers Pay Teachers, represent snapshots from different angles and offer valuable insights into the current state of the educational technology field. Moreover, by comparing some of the 2023 results to previous years, we observed several developmental directions and trends that may guide educational researchers and practitioners for future work.

The Scopus data suggested that studies published in the top EdTech journals in 2023 were predominantly conducted in higher education contexts, and among K-12 studies, secondary contexts were more common than elementary. Not surprisingly, references to COVID-19 declined from previous years. Interestingly, although COVID-19 was less referenced, the terms “online teaching” and “online learning” were frequently mentioned, remaining a dominant learning modality. Secondary data analysis methods, such as literature reviews and meta-analyses, were the most common research methods. However, it is important to mention that this year’s analysis included only titles, not abstracts, as was done in previous years, which may typically include fewer references to primary research methods. Keywords related to emerging technologies, including virtual reality, augmented reality, artificial intelligence, and learning analytics, were also frequently mentioned in the titles.

Through analyzing the hyperlinks on school and school district Facebook pages, we observed that Google-provided services, such as Google Docs, YouTube, and Google search engine, were the most included external links, which seems to be consistent with our findings from previous years (Allman et al., 2023b ; Kimmons et al., 2021 ; Kimmons & Rosenberg, 2022 ). A trend worth mentioning is the consistent decline of Zoom links and increased links to school event planning and registration sites between 2021 and 2023. This suggests a return to in-person learning and an increased school social event activity post-COVID-19.

The analysis of EdTechBooks data as a proxy for OER behavior in the field of educational technology revealed that, similar to last year’s findings, readers continue seeking resources related to theory, educational technology topics, and research and evaluation methods. Closer analysis suggested that chapter access might be more influenced by the organic traffic from search engines. In contrast, book access may be more tied to OER adoption and formal educational setting behaviors, such as course instructional material choices and instructor pedagogical decisions. The increase in global and mobile OER access further emphasizes the importance of technical and design decisions related to accessibility, flexibility, and social justice issues during OER design and development (Allman et al., 2023a ).

Finally, the results of further examining AI and OER-related terms on university websites and Teachers Pay Teachers were intriguing. One interesting finding was that universities in politically blue states were more likely to refer to both technologies than universities in politically red states. Additionally, universities in urban states typically referenced AI more often, while rural state universities more likely referenced OER. This suggests that EdTech attention may be associated with social, political, and economic factors, such as available capital and resources. The analysis of resources on the Teachers Pay Teachers platform emphasized a rising interest in AI in K-12 educational resources while the interest in OER resources remained steady. Among the AI tools, references to generative AI tools such as ChatGPT increased the most, suggesting interest in applying these tools in education and educational content creation.

This year’s analyses indicated that the field of educational technology continues to be influenced by the past pandemic as well as emerging technologies. Even though COVID-19 has gradually faded out in people’s lives, online learning has become a widely accepted way of learning, and technology-mediated instruction has become a norm in all educational settings. Digital educational resources replaced, for the most part, traditional print materials both in higher education and K-12 settings (Seaman & Seaman, 2023a , 2023b ). Mobile and digital learning platforms make learning more accessible and facilitate collaboration through cloud-based services across modalities. OER remain an interest in K-12 and higher ed, particularly in rural states. Immersive technologies continue transforming the EdTech landscape, integrating VR, AR, and gamification elements into learning environments for more engaging experiences. We found that AI and generative AI, in particular, are topics that are notably raising interest in the educational technology field. Utilizing generative AI to produce content and instructional resources, provide adaptive and personalized learning experiences, and automate assessment and evaluation are only a few potential applications that could transform the field of educational technology in the near future. Although the inclusion of AI is relevant at the university and K-12 level, social, political, and economic influences and implications need to be considered. Recognizing that many across educational sectors feel unprepared for AI-related changes (Cengage, 2023 ), we should embrace these new technologies with optimistic caution, carefully considering potentials balanced against security, privacy, and other concerns.

Data Availability

Data is available upon request.

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Allman, B., Kimmons, R., Wang, W. et al. Trends and Topics in Educational Technology, 2024 Edition. TechTrends 68 , 402–410 (2024). https://doi.org/10.1007/s11528-024-00950-5

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Published : 21 March 2024

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