research study on ict in education

An IERI – International Educational Research Institute Journal

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• Published: 13 September 2016

The relationship between students’ use of ICT for social communication and their computer and information literacy

• Meral Alkan 1 &
• Sabine Meinck 2  

Large-scale Assessments in Education volume  4 , Article number:  15 ( 2016 ) Cite this article

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This study investigates the relationship between students’ use of information and communication technology (ICT) for social communication and their computer and information literacy (CIL) scores. It also examines whether gender and socioeconomic background moderates this relationship. We utilized student data from IEA’s International Computer and Information Study (ICILS) to build multivariate regression models for answering the research questions, and accounted for the complex sample structure of the data by using weights for all statistical analyses, employing jackknife repeated replication for variance estimation. Students who frequently use the internet for messaging and participation in social networks (i.e., at least once a week) scored on average 44 points higher than those who use ICT for the same purpose only less than once a week or never. The direction of this effect was the same in all 21 participating educational systems, the difference ranging from 19 to 75 points (always statistically significant). We continued the analysis by testing whether the relationship is moderated by gender; as girls use more often ICT for social communication and have higher CIL scores on average. After controlling for the gender effect the CIL scores between the two examined groups decreased only by 2 points on average. Even after including students’ socio-economic background into the model, the difference in CIL between the two groups of interest declined only little—to 32 points on average across all countries. The difference remained to be statistically significant in all countries but one. The results suggest a strong relationship between students’ CIL proficiency level and the frequency of their use of electronic devices for social communication; hence, respective skills needed at schools and later on at the workplace are reflected in their use outside of school and for socializing.

Purpose, significance of research and theoretical frame work

In the last decades we encountered rapid developments in information and communication technologies. The inclusion of the worldwide web into daily life brought new and important implications also for education. Most of the schools and educational systems started providing extensive computer networks for their students and these are increasingly becoming main components of the teaching and learning environment, but so far little is known about the effectiveness and use of these technologies (Fraillon et al. 2014 ). Conclusions from research carried out in the field are partly contradictory. Many authors who examined computer use and student achievement found they were positively related (e.g., Becker 1994 ; Hativa 1994 ; Kozma 1991 ; Kulik and Kulik 1987 ; Liao 1992 ; Osunade 2003 ; Ryan 1991 ; Van Dusen and Worthren 1994 ; James and Lamb 2000 ; Attewell and Battle 1999 ; Sivin-Kachala 1998 ; Weaver 2000 ; Weller 1996 ; Wenglinsky 1998 ). Wen et al. ( 2002 ) suggest that there is a positive relationship between the number of computers available at school and students’ science achievement. Alspaugh ( 1999 ) reports that computer use has no effect on students’ achievement in reading, mathematics, science or social studies. There is also a number of studies that identified negative relationships between computer use and student achievement (Ravitz et al. 2002 ; Papanastasiou 2002 , 2003 ). Papanastasiou ( 2002 ) who analysed the results of TIMSS, found a negative relationship between computer use and achievement in a number of countries such as Cyprus, Hong Kong and United States of America. According to this study, students who use computers most frequently in the classroom were lowest achievers in TIMSS in 1995. Papanastasiou ( 2003 ) and Papanastasiou et al. ( 2005 ) found that computer use does not have a positive nor negative effect on students’ science achievement based on PISA results, but the way of computer use affects science achievement.

Most of the international studies focused so far on the relation of ICT use and students’ competencies in reading, science and mathematics. The amount of research dedicated on computer and information literacy is very limited and most studies examine mainly internet access and online use (Olafsson et al. 2014 ). In the computer and information literacy (CIL) area, the first cross-national study is ICILS (Fraillon et al. 2014 ). It assesses the extent to which students know about, understand, and are able to use information and communication technology (ICT). The main purpose of ICILS is to determine how well students are prepared for study, work and life in the digital age. With the information age the term “digital natives” was coined for the generation born in the early 1980s, also referred to as the first members of the millennial generation (Prensky 2001 ). In his article, Prensky claimed that “the arrival and rapid dissemination of digital technology in the last decade of the twentieth century” had changed the way students think and process information, making it difficult for them to excel academically being exposed to outdated teaching methods. However, according to the ICILS results, although students have had an increased amount of exposure to technology, it does not necessarily imply that they are digital natives. In all the participating countries, on average 17 % of the students did not even achieve the lowest level of CIL determined by the study. On average, only 2 % of the students achieved the highest level with a maximum of 5 % in Korea (Fraillon et al. 2014 ). Footnote 1

This finding raises the question how so called digital natives use twenty first century technology in daily life. It is known from the literature that age plays a significant role in the usage of computers and internet. As shown in Fig.  1 (Zichuhr and Madden 2012 ), and Fig.  2 (TurkStat 2014 ) below, there was a steady increase in internet use across all age groups in Turkey and the US. In the beginning of the current century, however, the younger age groups use internet more often compared to the older age groups in both countries.

(Source: Zichuhr and Madden 2012 )

Internet use by age group in America, 2000–2012

(Source: TurkStat 2014 )

Internet use by age group in Turkey, 2004–2014

In most European countries, as shown in Fig.  3 , more than 80 % of young people (aged 16–29) used a computer on a daily basis. In all countries, percentages of the daily use of computers among young people is higher than for the whole population (Eurostat 2014 ).

Source: Eurostat ( 2014 )

Proportion of people who used a computer on a daily basis, 2014 (%).

Further, literature suggests that many children engage in a wide range of online activities. ICT use by students has expanded to Internet, e-mail, chat, programming, graphics, spreadsheet, online shopping, online searching for literature and other educational materials. The students mostly use ICT for general purposes, i.e., communication, word processing, entertainment, etc. rather than for educational means (Mahmood 2009 ). According to Olafsson et al. ( 2014 ), the most common online activities of 9–16 years olds in Europe are: using internet for school work (85 %), playing games (83 %), watching video clips (76 %) and instant messaging (62 %). Communication via the internet is ubiquitous; often schoolwork is accompanied by chatting and texting. A study published by Gokcearslan and Seferoglu ( 2005 ) showed that—at that time—Turkish students’ main focus is on playing games instead on learning activities.

The internet use has high rates among young people when it is compared to the whole population in the EU-28 for basic skills such as using a search engine (94 %) or sending an e-mail with attachments (87 %), while more than two-thirds of young people posted messages online (72 %), just over half used the internet for calling people (53 %) and around one-third (32 %) used peer-to-peer file sharing services. The proportion of young people of posting messages online was 34 percentage points higher than the average for the whole population (Eurostat 2014 ; Fig.  4 ).

(data from 2013; source: Eurostat 2014 )

Proportion of people who used selected internet skills, EU-28

Already in 2003 Prensky reported that young Americans talk more than 10.000 h on the phone and send more than 200.000 e-mails and text messages until the age of 21. A study conducted in the US found that 80 % of online teens use social network sites, Facebook being the most popular, with 93 % of those teens reporting its use (Lenhart 2012 ). In 2014, according to number of active users, Facebook is the most popular social media platform with 1184 billion users (Digital/Ajanslar 2014 ). In 2015, Facebook is still most popular social media platform among young people and 71 % of all teens from 13 to 17 use Facebook, 52 % of them use Instagram and 41 % use Snapchat. (Pew Research Center 2015 )

“The use of social networks among children research report” focused on the use of social media among 9–16 year olds in Turkey showed that 85 % of students have computers at home, 70 % of all students get online at least once a day and 66 % use social media at least once a day, spending 72 min on average. This shows that most of the time spent on internet is dedicated to social media. The same study shows that 99 % of the children who have a social media account use Facebook. 60 % of the children reported that they don’t study enough because of spending too much time on Facebook, 25 % of them said that they spend less time with their parents and friends (TIB 2011 ).

The most common online social activities for young people in the EU-28 in 2014 included sending and receiving e-mails (86 %) and participating on social networking sites (82 %)—for example, Facebook or Twitter, by creating a user profile, posting messages or making other contributions—while close to half (47 %) of all young people in the EU-28 uploaded self-created content, such as photos, videos or text to the internet (Eurostat 2014 ).

Summarizing the literature, the high importance of students’ use of ICT for social communication in their daily life is evident. But does this type of ICT use enhance students’ CIL skills? Or, does it even rather have a negative effect, because less time remains for “worthwhile” computer usage, such as learning activities? This study examines the relationship between students’ use of ICT for social communication and their computer and information literacy and attempts to contribute to a deeper understanding of this relationship.

Methods and data sources

Students’ data of ICILS was used to explore the hypotheses. ICILS gathered data from almost 60,000 Grade 8 (or equivalent) students and 35,000 teachers in more than 3300 schools from 21 countries or education systems within countries. These data were augmented by contextual data collected from school ICT-coordinators, school principals, and the ICILS national research centres.

Students completed a computer-based test of CIL that consisted of questions and tasks presented in four 30-min modules. Each student completed two modules randomly allocated from the set of four so that the total assessment time for each student was 1 h.

After completing the two test modules, students answered (again on computer) a 30-min questionnaire. It included questions relating to students’ background characteristics, their experience and use of computers and ICT to complete a range of different tasks in school and out of school, and their attitudes toward using computers and ICT (Fraillon et al. 2014 ).

IEA’s IDB Analyzer was utilized for all statistical analyses, including the estimation of percentages, means and regression models. The IDB analyzer takes the complex data structure of ICILS data into account by applying sampling weights and employing jackknife repeated replication for variance estimation. Comparisons between dependent samples were conducted using regression models in order to account for the covariance between the comparative groups.

Analysis results

We first analysed the relationship between students’ CIL score and their use of ICT for social communication. In the ICILS study, the student questionnaire included three questions that require students to rate the frequencies of their use of ICT applications. From these questions four scales were derived. One of them was “Students’ use of ICT for Social Communication” (S_USECOM). The students were asked to identify the frequency with which they were using the internet for various communication and information exchange activities outside of school. The response categories were “never”, “less than once a month”, “at least once a week but not every day” and “every day”. S_USECOM had an average reliability of 0.74 (Fraillon et al. 2015 ).

The index variable (“S_USECOM”) consists of the following items:

How often do you use the Internet outside of school for each of the following activities?

Posting comments to online profiles or blogs.

Uploading images or videos to an [online profile] or [online community] (for example. Facebook or YouTube).

Using voice chat (for example Skype) to chat with friends or family online.

Communicating with others using messaging or social networks [for example instant messaging or (status updates)].

We could identify indeed a relationship between students’ CIL score and their use of ICT for social communication: in all educational systems participating in ICILS (further for simplicity referred to as “countries”), the CIL score increased along with an increase of students’ scale score in “Use of ICT for social communication”. This relationship was statistically significant in 16 out of 21 countries. However, the relation was weak; the explained variance of the CIL score was less than 10 % in most countries. We continued the analysis by investigating further the relationship between CIL and each of the four variables constructing the scale score for “Use of ICT for social communication”.

Posting comments to online profiles or blogs

There were no consistent patterns for relations between the reported frequencies for this variable in most countries except for Chile, Thailand and Turkey—the countries with relatively low CIL average scores. In these three countries, the CIL score increased along with an increasing frequency of postings.

Uploading images or videos to an [online profile] or [online community] (for example. facebook or youtube)

Interestingly, students with a medium frequency of ICT use for uploading images or videos had an average CIL score of 20 more points than those who reported to either never do that or do it every day. This pattern could be observed in all countries and was statistically significant in all countries but three (Republic of Korea, Turkey, Canada—Newfoundland and Labrador).

Using voice chat (for example Skype) to chat with friends or family online

No clear patterns could be identified for relationships between the CIL scores and frequencies of ICT usage for voice chats.

Communicating with others using messaging or social networks [for example instant messaging or (status updates)]

Apparently this variable had the closest relationship with CIL among the variables constructing the index variable (“S_USECOM”): as shown in Fig.  5 , the more frequent students use ICT for communication using messaging or social networks the higher was their CIL score, a finding that generally holds in all countries. Looking at the cross-country average, mean CIL scores of students who never use the internet for communication are as low as 463 points while are as high as 522 points for students who do that on a daily basis (see Table  1 ).

Average CIL scores by ICT use for communicating with others using messaging or social networks

For further in-depth analysis we decided to simplify the data by collapsing categories, resulting in a dichotomous variable. The split was taken between the response categories where the difference in CIL scores was the greatest. Referring to the patterns visible in Fig.  5 , CIL scores of students reporting to use ICT for communication at least once a week or even every day were rather close to each other; also, no large differences in CIL scores occurred for students using ICT for communication less than once a week (or never). Therefore we collapsed the respective categories accordingly. This procedure split the countries’ target populations into two groups of varying proportions, as can be seen in Fig.  6 . On average, three-fourth of the students use the Internet for communication more than once a week. This proportion is less in Thailand and Turkey.

Proportion of students by use of ICT for communicating with others using messaging or social networks

Comparing the resulting two groups of students, we found an average difference in CIL scores of 44 points on favor of students using ICT for social communication more frequently. The direction of the effect was the same in all countries and ranged from 19 points difference in Switzerland to as much as 75 points in the Slovak Republic (refer to Table  2 , Model 1, coefficients of E-communication). In all countries, the difference was found to be statistically significant. Since these results were rather striking, we wondered if this effect was moderated by other variables. Consequently we set up various multivariate regression models in order to control for such effects.

Gender as moderating variable

It is known from the literature that girls spend on average more time on social network sites and use them more actively than boys (Duggan and Brenner 2013 ). Lenhart ( 2012 ) reported that some 95 % of teenagers use the internet in the US. 42 % of girls who use the internet report to video-chat, while only about a third of boys engage in that activity. Girls are also more active in their texting and mobile communication behaviours (Lenhart et al. 2010 ). Our own study confirms this finding for all ICILS countries as can be seen in Fig.  7 — except for Turkey. Interestingly, in Turkey (highlighted by the black arrow in Fig.  7 ) boys report to use the Internet for social communication more often than girls. The differences of the gender group percentages are statistically significant in all countries.

Percentages of students using ICT for communicating at least once a week by gender

Although gender is a major determinant in CIL scores of ICILS, it did hardly moderate the difference in CIL scores between the two groups presented in Fig.  5 . The group differences remained significant in all countries (see Model 2 in Table  2 , coefficients of E-communication.

Socio-economic background as moderating variable

In a next step we included the national index of students’ socio-economic background (variable “S_NISB”) into the model, reasoning that the availability of internet access and communication devices may depend on the socio-economic status (SES) of the students.

The “digital divide”—referring to the gap between those who do and those who do not have access to ICT’s (Warschauer 2003 )—generally affects individuals who are unemployed or in low-skilled occupations, and who have a low income and/or a low level of education. Students from families with a lower SES tend to be less confident and capable in navigating the Web to find credible information (Adler 2014 ). Also Adegoke and Osoyoko ( 2015 ) support the theory that SES influences students’ access (exposure) to ICT and internet. The findings of Hargittai ( 2010 ) suggest that even when controlling for basic Internet access, among a group of young adults, SES is an important predictor of how people are incorporating the Web into their everyday lives. Bozionelos ( 2004 ) showed that SES had a direct positive relationship with computer experience and an indirect negative relationship with computer anxiety. The findings are supportive of the digital divide and they imply that information technology may in fact be increasing inequalities among social strata in their access to employment opportunities.

After controlling for both, gender and SES, the difference in CIL between our two groups of interest declined to 32 points on average across all countries. However, the difference remained to be statistically significant in all countries but one (Denmark).

Table  2 presents regression coefficients of all three discussed models; Fig.  8 presents the differences in CIL scores of students using ICT for social communication more vs. less than once a week for all three considered models (coefficient of “E-communication” in Table  2 ). Evidently, this difference is hardly moderated in any country by gender, while the socio-economic status plays a larger role. In twelve out of twenty countries, after controlling for gender and SES, the examined difference in the CIL score decreases by more than 10 points. Only in Switzerland neither SES nor gender seemed to be associated with the difference in CIL scores between the two groups of interest, i.e., the coefficient of E-communication remains constant across the three models.

Differences in CIL scores of students using ICT for social communication more vs. less than once a week by model

Further variables with potential moderating effects

We also investigated the effect of further variables that may have moderated the found relationship and thereby could have affected the presented relationship in significant ways. We identified such variables based on evidence from the literature, evidence from ICILS (Fraillon et al. 2014 ) or simply by applying common sense. It would exceed the purpose of this paper to present all details of these analyses; however, the following paragraphs give some major findings.

While girls use ICT more often for social communication, boys use it more often for playing games (Rideout and Foehr 2010 ). This is also evident from ICILS data and is presented as cross-country average in Fig.  9 . The patterns are similar for all participating countries. However, there was no general relation between using ICT for playing games and CIL except for Turkey and Thailand, where an increased frequency of gaming was related with increasing CIL scores.

Using a computer for playing games (outside of school) by gender (estimated percentages across all participating countries)

Further, one may argue that the overall use of computers could have a moderating effect on the studied relationship. However, including the respective variable into the regression model proofed to not change much the effect of ICT use for social communication on CIL and also did not enhance the explained variance of the CIL score significantly.

Discussion and conclusions

The arrival and rapid dissemination of digital technology in the last decade of the twentieth century raises the question how so called digital natives use technology in daily life and what relevant skills they need to develop in order to participate effectively in the digital age. From the literature, the high importance of students’ use of ICT for social communication in their daily life is evident. In this paper we tried to answer the question if this type of ICT use enhances students’ CIL skills or if it—on the opposite—perhaps even rather has a negative effect, because less time remains for “worthwhile” computer usage, such as learning activities.

We first analyzed the relationship between students’ CIL score and their use of ICT for social communication. The CIL score increased along with an increase of students’ scale score in “Use of ICT for social communication” in all educational systems participating in ICILS. This relationship was statistically significant in 16 out of 21 countries. However, the relation was weak. We continued the analysis by investigating further the relationship between CIL and each of the four variables constructing the index “Use of ICT for social communication”. We found out that the variable which has the closest relationship with CIL was “Communicating with others using messaging or social networks [for example instant messaging or (status updates)]”, while other variables comprising the index showed different or no patterns related with CIL.

For accommodating further analysis on this variable, we decided to split students’ data into two groups. We collapsed the five original categories of the variable into two categories, reflecting the use of messaging or social networks “at least once a week or even every day” versus “less than once a week (or never)”.

Comparing the resulting two groups of students, we found a large average difference in CIL scores (44 points) favoring students using ICT for social communication more frequently. The direction of the effect was the same in all countries; the difference ranged from 19 points in Switzerland to as much as 75 points in the Slovak Republic. Since these results were rather striking, we examined whether this effect was moderated by other variables such as SES and Gender. We found however that the moderating effect of these variables on the observed relationship was weak or even negligible in all participating countries. In other words, the relation between the use of ICT for communicating with others using messaging or social networks and CIL scores was still high and consistent across countries when controlling for SES and Gender.

This positive and cross-nationally observed relationship was rather unexpected, especially because the relationship between the communication index created by ICILS and the CIL scores was weak. Trying to understand this phenomenon, we considered the nature of messaging and participation in social networks. We see that it actually includes posting comments, uploading and downloading images and videos—hence, these features are no different than the separate items creating the social communication index. In fact the single item basically contains the other index items. Possibly the written communication portion included makes the difference, or the actual widespread of activities involved in messaging/electronic social networking explains the indistinct positive relationship with CIL. In future cycles of ICILS it may be worthwhile to review the index items accordingly.

To explore this phenomenon further, we also should focus on the CIL construct. As Fraillon et al. ( 2014 ) pointed out in the ICILS international report, the CIL construct was conceptualized in terms of two strands:

Strand 1; collecting and managing information , focuses on the receptive and organizational elements of information processing and management,

Strand 2; producing and exchanging information , focuses on using computers as productive tools for thinking, creating, and communicating.

When we consider the interactive nature of social media, it can be assumed that they provide students with a medium for collecting and managing information as anticipated in Strand 1 and also for producing and exchanging information as conceptualized in Strand 2. Hence, this item seems truly be related with both strands of the CIL construct, which may be one reason for the close relationship. Lacking of an experimental design, this study cannot make causal inferences on the relation between CIL and e-communication. Therefore we cannot conclude if frequent use of ICT for communication enhances CIL skills, or if in turn students with high CIL use more frequently ICT for social communication.

Future studies should also monitor the use of social networks in education further. Students should not be expected to accomplish high skills in using information and computer technology and at the same time expect them to keep this aspect of their personality outside of their social life. Rather, it is worth to explore the additional learning opportunities arising from electronic tools and media out- but also and especially inside schools. According to findings from Fraillon et al. ( 2014 ), there is a need in many countries to equip teachers with the respective knowledge to use ICT (including social communication tools) in their teaching. Utilizing social media for teaching may hold the potential to increase CIL for all students independently from their gender and SES backgrounds; and thereby avoid that students with low CIL or limited access to ICT may increasingly lack opportunities to actively participate in the modern society.

As a matter of fact, nowadays messaging and Facebook or other social networks became a part of students’ daily life. As parents, teachers and educators, our responsibility is to help our children to benefit from social networks educationally.

See Fraillon et al. 2014 for detailed explanations of the determined CIL levels.

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Authors’ contributions

MA developed the research questions, conducted the literature research and drafted significant parts of the manuscript. SM developed the research design, conducted data compilation, the statistical analysis and interpretation of results and drafted significant parts of the manuscript. Both authors have given final approval of the manuscript version to be published and agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All authors read and approved the final manuscript.

Acknowledgements

The authors are thankful to Diego Cortes for his very useful comments while reviewing this paper.

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Alkan, M., Meinck, S. The relationship between students’ use of ICT for social communication and their computer and information literacy. Large-scale Assess Educ 4 , 15 (2016). https://doi.org/10.1186/s40536-016-0029-z

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A systematic literature review of ICT integration in secondary education: what works, what does not, and what next?

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This study is rigorous of peer-reviewed literature on the integration of information and communication technology (ICT) tools in secondary schools. It analyzed the impact of ICT integration on the teaching and learning process based on 51 sampled studies. The findings are thematically presented under the benefits of improving teaching and learning processes regarding curriculum coverage, equitable access, shared learning resources, and personalized learning. Furthermore, challenges were found in professional development, pedagogical and technological knowledge, and resource maintenance. Among the best practices and strategies to resolve these challenges were regular supply and systems maintenance, curricula realignment, ICT policy formulation, and engaging all stakeholders in ICT integration. Recommendations: practitioners should adopt, adapt, and innovate pedagogical approaches, strategies, and methods to facilitate the use of ICT in teaching and learning and should align and integrate ICT tools with curriculum objectives, content, or standards by exploring and using diverse and dynamic ICT tools and methods in secondary schools.

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1 Introduction

Information and communication technology (ICT) is a powerful tool capable of transforming education and enhancing learning outcomes. As a result of this technology, students can access information, collaborate with peers and teachers, develop critical thinking skills and problem-solving abilities, and express their creativity and innovation. Additionally, it can assist teachers in designing and delivering more effective and personalized instruction, assessing and monitoring student progress, and engaging in continuous professional development [ 1 , 2 ]. Despite this, integrating ICT into education is not without challenges; each context and subject area has specific needs, challenges, and opportunities that must be considered during the planning, implementation, evaluation, and improvement process. This analysis, therefore, aims at identifying gaps and limitations in the literature and argues that it is essential to thoroughly review the current literature to synthesize the knowledge about what works, what does not, and the next steps to take to yield the best results out of the integration process.

Furthermore, education has become more integrated with ICT in the twenty-first century, thriving on advancements in computer technology; teaching and learning in secondary schools can be improved in various ways. There is a possibility to support, enhance, or alter the processes and outcomes of teaching and learning in secondary schools through the efficient and successful implementation of ICT [ 3 ]. As a result of the use of ICT in the classroom, particularly in secondary schools, students' learning outcomes, motivation, engagement, and skill development are improved, as well as teachers' attitudes, practices, and beliefs about teaching and learning [ 4 , 5 ]. It is, therefore, imperative that stakeholders work together to overcome the obstacles and problems that prevent secondary schools from fully integrating ICT by addressing challenges such as a lack of resources, training, time, support, curriculum alignment, and pedagogical change [ 6 , 7 ] that interfere with successful integration.

Hence, providing a comprehensive analysis of empirical studies relevant to ICT in secondary schools and learning, the purpose of this systematic literature review is to provide a comprehensive review of the empirical studies. This is because secondary education is integral in preparing young people for life, work, and higher education in the twenty-first century, making integrating ICT into various subjects to be indispensable for improved teaching and learning.

1.1 Research question

The systematic review will analyze the included studies to attain its objective by addressing the following questions:

RQ1: Which benefits of ICT integration exist in secondary schools for teaching and learning?

RQ2: What challenges and barriers hinder ICT’s practical and meaningful integration in teaching and learning?

RQ3: Which best practices and strategies have been implemented for effective ICT integration in secondary schools?

The study contributes to the existing knowledge base on ICT integration in secondary schools by providing a comprehensive overview of the current state of the art and highlighting the gaps and areas for further research. The study also offers practical implications and recommendations for policymakers, educators, researchers, and stakeholders interested in ICT integration in secondary schools. The study is particularly relevant for developing countries, where ICT integration in secondary school education is still in its early stages of implementation and faces many challenges [ 8 ]. Developing countries are home to many young people who need quality education to achieve their potential and contribute to their nation’s social and economic development. Hence, this exploration is timely and essential.

Therefore, to achieve this objective, a systematic literature review was conducted using a six-step process, including team selection, protocol creation, extensive search, screening and selection of studies, data extraction and analysis, and reporting and dissemination of findings. The recommendations from the Cochrane Handbook for Systematic Reviews served as the foundation for the procedure [ 9 ]. Both narrative and quantitative approaches were employed for the data synthesis. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework was used to prepare this study [ 10 ].

The structure of this article includes Sect.  1 , which is the background information on ICT integration in secondary education, and an overview of the systematic review methodology is provided in Sect.  2 , encompassing a search strategy, inclusion and exclusion criteria, quality assessment, extraction, and synthesis of data. The results are presented in Sect.  3 as descriptive statistics, thematic analysis, and synthesis. Section  4 discusses the main findings, the implications of this rigorous analysis, and its limitations and directions for possible future research. Finally, Sect.  5 presents the synthesized results and discussion.

This study applies a rigorous and transparent methodology based on the Cochrane Handbook for Systematic Reviews [ 11 ] and the PRISMA guidelines [ 10 ]. The study procedure progressed through six steps: selecting the team, developing the protocol, conducting a comprehensive literature search, screening and selecting studies, extracting and analyzing data, and reporting the results. The main objective was to investigate information and communication technology (ICT) use in secondary school education. Furthermore, the research aimed to understand better the impact and challenges of integrating ICT tools in secondary education. To sufficiently address the research problem and the stated objective, we selected a qualitative methodology based on a systematic literature review (SLR) guided by the PRISMA framework protocol [ 10 ] on integrating ICT in secondary school. The research questions were formulated to address the integration of ICT, the impact, and challenges faced in the process of integrating ICT in secondary schools, as shown in Table 1 .

2.1 Eligibility criteria

The sampled articles were considered eligible based on the document characteristics of being published:

in peer-reviewed journals,

in the English language,

between 2008 and July 11, 2023.

Additionally, content criteria and empirical studies with quantitative and qualitative methods were included, discarding theoretical studies dealing with ICT in settings other than secondary school.

2.2 Data sources and search strategy

The included studies were identified and retrieved from Scopus and Eric electronic databases. For the search and selection of articles, we used the search terms and their combinations as “integration”, “technology”, “secondary”, “school”, “ICT” “ICT in secondary education”, “ICT in secondary schools”, “implication of ICT in education”, “implication of ICT in secondary schools”, “benefits of ICT in secondary school”, “challenges in the implementation of ICT”, “challenges in the implementation of ICT in secondary school”, “impact of ICT in secondary school”, and “best practices in ICT implementation in secondary schools”.

2.3 Quality appraisal

The sample was selected using the JBI Checklist for Systematic Reviews and Research Syntheses. The checklist contains 11 questions, and the inclusion criteria were scored as "yes", "no", "unclear", or "not applicable" [ 12 ]. The automated inclusion and exclusion criteria were conducted by the three researchers who examined the search results by evaluating the abstracts to determine whether the study was suitable for the analysis of the benefits, challenges, and strategies employed to enhance ICT integration in secondary schools. In addition, studies were excluded if they did not meet the criteria after an objective comparison of the decisions of the independent researchers. The researchers' independent decisions had an interrater reliability of 94%, which was increased to 100% after the discussion among the three researchers to resolve and determine the suitability of the disputed studies.

2.4 Data analysis

The identified articles were 1363 from Scopus and Eric electronic databases, which were later cleaned up for duplicate records before screening. After the automated inclusion and exclusion process, 553 records were selected for further screening and eligibility assessment, which resulted in 51 sampled studies for this systematic analysis, as presented in Fig.  1 .

Flowchart for inclusion and exclusion process

The results section is a descriptive and thematic analysis and presentation of the 51 included studies.

3.1 Description of the articles under analysis

The systematic review included studies from 2008 to 2023 to establish the trends and gaps in the integration and impact of ICT in secondary schools. According to the article distribution in Fig.  3 , most of our sampled studies were published in 2020 and 2022, followed by 2023. However, 2023 will likely receive more publications since the literature search was conducted in June 2023. The findings indicate that most of the included studies were published in 2022 and were distributed as in Fig.  2 .

Publications by year (n = 51)

Furthermore, the studies were analyzed based on the methodology used. It was established that mainly quantitative methods were used in most of the sampled studies, and the least used method was the survey, as shown in Fig.  3 .

Sampled studies by methodology

The systematic review categorized the included studies according to the country in which they were published. The article distribution by country indicates that many studies were conducted in Malaysia, as shown in Fig.  4 .

Distribution by country

3.2 Thematic analysis

This section presents the findings according to the identified themes in relation to the research questions. The theme identification process involved the two authors independently analyzing the included studies with regard to the research questions and eligibility for the full-text screening. There was consultation with a third author in settling any disputes. This procedure of screening the full text and extracting the data was conducted thoroughly, as illustrated in the PRISMA flow diagram in Fig.  1 . Then, the initial coding for key terms was summarized into themes that emerged from the process, categorized according to the research questions as in Table 2 .

3.2.1 Themes in ICT integration

ICT integration in secondary education is characterized by some common themes, patterns, distinctions, and variations across subjects. The analyzed studies highlight that ICT integration is not only an essential tool to make teaching more interesting and sufficiently transmit twenty-first century skills to learners in current secondary schools but also plays a vital role in enhancing student’s learning outcomes, motivation, engagement, and critical and innovative thinking development [ 13 , 18 ]. Therefore, this study identified three themes surrounding the integration of ICT in secondary schools: the benefits, the challenges, and the best practices and strategies for making ICT an integral and beneficial tool for teaching and learning. Indeed, several factors have influenced and impacted the successful integration of ICT in various subject areas.

These factors can be loosely classified as student factors and teacher factors. Student factors can be termed those that affect students' learning processes, while teacher factors impede the teacher’s abilities to deliver the learning experiences in the teaching process. This analysis discovered that student factors can be minimized by integrating appropriate ICT tools, especially tools and methods that align with the subject's learning objectives, content, and pedagogy [ 4 , 31 ]. For ICT integration to be effective, a number of considerations need to be made, such as the quality of the ICT tools and methodologies, student involvement, learning interaction, and the assessment methods to be used [ 16 , 28 ].

On the other hand, teacher factors such as inadequate professional development, lack of sufficient school support, and pedagogical knowledge influence teachers' attitudes, beliefs, and behaviors, which determine their desire and actual ICT integration in various subjects. Based on the findings, instructors can use ICT tools in a variety of ways, and how they adapt and use them can affect how they view, adopt, and use these tools [ 27 , 29 ]. ICT integration skills can be developed through professional development [ 32 ], while school leadership and support can also assist teachers with ICT integration by providing them with resources, guidance, and motivation [ 21 , 33 ]. The teacher’s pedagogical expertise and views may also contribute to the tactics they use to integrate ICT into their classrooms, such as whether they prefer student- or teacher-centered approaches [ 25 ]. The integration of ICT tools may be affected not only by student and teacher factors but also by the nature of the subject area and its associated learning experiences. Therefore, the distribution of ICT integration of the sample by subject areas demonstrates that the highest integration level of ICT tools was recorded at 33% in ICT as a subject, followed by STEM subjects at 17%, as shown in Fig.  5 .

Distribution of ICT tools integration in subjects

4 Discussion

Based on this systematic literature review, we provide insights into how ICT is used in schools to improve teaching and learning. To comprehensively explain the findings, the research questions that guided this study have been categorized and discussed.

RQ1: What are the benefits of using ICT in secondary education?

RQ1 examined how ICT integration impacts secondary schools' learning outcomes, motivation, engagement, and skill development. About Eleven studies covering mathematics, science, language, and social studies addressed this question based on the rigorous inclusion criteria. The integration of ICT in secondary schools has been found to benefit the teaching and learning processes by improving the quality and pace of curriculum coverage. It is without doubt that integrating computers in the teaching and learning process, if well done, may translate into efficiency, but if not well done, it becomes disruptive. It may disorient both the teachers and learners from attaining their academic goals.

Therefore, this study aimed at synthesizing the benefits of effective ICT integration, which would foster impactful advances in secondary schools’ educational attainments. The twenty-first century has registered considerable advancements in computer technology, transforming various sectors of society and increasing demand for advanced computer skills. This requires that teaching and learning at all levels, particularly in secondary schools, be improved to support, enhance, and alter the processes and outcomes of teaching and learning through the efficient and successful implementation of ICT tools in schools [ 3 ]. As a result, using ICT in the classroom improves students' learning outcomes, motivation, engagement, skill development, and teachers' attitudes, practices, and beliefs about the teaching and learning process [ 4 , 31 ]. Therefore, stakeholders must work together to promote fully effective and practical integration of ICT tools by addressing issues such as a lack of resources, training, time, support, curriculum alignment, and pedagogical change [ 6 , 7 ] that interfere with successful integration. Apart from human resource skills development, other suitable resources and tools, such as software packages, should be made available to secure a meaningful integration.

According to Latifi [ 34 ], GeoGebra software, for instance, was used to teach geometry in Mathematics, improving students' geometry knowledge and performance. Furthermore, it showed that academic achievement, conceptual understanding, problem-solving skills, and creativity were all positively affected by the ICT integration on student learning outcomes. Indeed, Woodrich [ 13 ] confirmed that students' writing skills, creativity, motivation, and achievement in biology increased using Moodle LMS [ 6 ]. In a study conducted by Thibaut [ 20 ], students' inquiry skills and scientific literacy were also improved through WebQuest. It is clear that effective ICT integration in different subjects positively influences the motivation, engagement, and skill development of both the teacher and the learners, making their work more exciting and easier to understand. Therefore, when ICT tools are appropriately used, curriculum content and information are accurately and diversely presented, enhancing learners' ability to grasp concepts and ideas more efficiently and accurately, making the teaching and learning process easier and more interesting.

Another set of benefits can be presented under access to the learning process. Furthermore, the effective integration of ICT in the educative process gives learners better access to curriculum content and information; for example, a teacher can make the learning experiences available for learners at all times. That is, learners are made to conveniently access online learning experiences as they enjoy the freedom to continue learning at their convenience. In addition, effective ICT integration enables learners to collaborate with peers and teachers, develop critical thinking and problem-solving abilities, and express their creativity and innovation during their learning. Moreover, effective ICT integration can also enhance and make learning more personalized. In this regard, ICT tools can assist teachers in designing and delivering more effective and personalized instruction assessments, monitoring student progress, and engaging them in different learning activities.

Furthermore, personalized learning enables the equitable sharing of learning resources such as e-textbooks, course wares, computers, digital media, and other resources available to learners according to their learning needs. The equitable sharing of learning resources has been confirmed by different studies to positively affect students' interest, curiosity, confidence, and satisfaction in learning when ICT tools are effectively integrated into the teaching and learning processes. For example, learning resources shared through WebQuest promoted active participation, collaboration, communication, and self-regulation among students, while Lie [ 14 ] found that equitably shared digital libraries also increased student engagement and reading comprehension. In this case, digital storytelling increased students' motivation and collaboration, as supported by Smeda [ 4 ] and Karahan [ 15 ], who stated that the Autograph software stimulated students' curiosity and confidence in mathematics. These and many other benefits can be accrued from an effective ICT integration in secondary schools, as shown in Table 2 and further discussed under RQ3 below on the effectiveness of ICT tools and different strategies and practices that have been implemented in the school environment.

The results identified some limitations and challenges associated with using ICT in secondary schools. There were technical challenges, such as lack of access, reliability, compatibility, and security of ICT tools and resources. Some concerns were pedagogical issues related to curriculum alignment, assessment methods, and instructional strategies. Students and teachers were sometimes not motivated, interested, or ready to use ICT due to psychological problems.

Therefore, a total of 16 studies, among the included studies in this review, identified barriers and challenges to effective and meaningful integration of ICT in secondary schools. They identified factors that negatively affect ICT integration, such as lack of resources, training, time, support, curriculum alignment, and lack of pedagogical change. According to Chen [ 17 ], technical difficulties or insufficient guidance contributed to some students' frustrations with WebQuest, while Toma [ 18 ] discovered that teachers had negative attitudes toward digital storytelling because they had not been properly trained or supported. Further, Dockendorff [ 19 ] highlighted that some curricula did not adequately include or evaluate ICT integration and evaluation.

Inadequate ICT tools and resources: inadequate, inaccessible, unreliable, and insecure ICT tools pose challenges for teachers and students to use ICT effectively and efficiently. It was found by Planinc [ 7 ] that some preservice mathematics teachers lacked access to GeoGebra software and computers at school or home. According to Smeda [ 4 ], some language teachers face technical difficulties when using digital storytelling tools. At the same time, the Moodle Learning Management System (LMS) had compatibility issues and security concerns for some in-service science teachers [ 23 ].

Insufficient or inadequate training: Teachers lack access to adequate, relevant, high-quality, or frequent professional development opportunities to enhance their abilities to integrate ICT effectively. According to Mohd Ayub [ 28 ], some in-service mathematics teachers lacked the training and experience to use GeoGebra effectively, and in-service biology teachers were not given enough support or training when using Moodle LMS [ 6 ]. Similarly, preservice language teachers lacked training and feedback while using digital storytelling in their classrooms [ 24 ].

Insufficient Planning Time: There is a lack of time for teachers to plan, implement, evaluate, or improve their ICT integration practices because of insufficient allocation, management, or flexibility of time. Mostly, teachers face this challenge, as they are not always able to use ICT effectively or efficiently due to a lack of time. Lie [ 14 , 20 ] found a lack of time for designing and implementing WebQuest projects in the classroom among preservice science teachers. Some in-service language teachers did not have adequate time to explore digital libraries or use them to enhance their teaching; according to Lie [ 14 ] in their study, Bratland [ 25 ] reported that some in-service mathematics teachers did not have time to learn and use GeoGebra software.

Inadequate Technical Support: There is a lack of support for teachers on technical, pedagogical, and emotional levels in terms of provision, quality, relevance, or frequency to improve their ability and competence in integrating ICT. Usually, this is coupled with a lack of appropriate ICT support for teachers, resulting in their inability to use ICT effectively or efficiently. Karahan [ 15 ] found that in-service math teachers lacked technical support when using Autograph software. When using WebQuest for teaching social studies, some in-service teachers lacked sufficient pedagogical support [ 16 ].

Misaligned Curriculum: ICT tools and methods are not aligned, integrated, or coherent with curriculum objectives, content, or standards for teaching and learning when they are not aligned, integrated, or coherent. There may be an inconsistency between the use of ICT and curriculum goals or expectations, which affects both teachers and students. Chen [ 17 ] found that WebQuest was not aligned or integrated with curriculum standards and objectives among in-service language teachers. It has been reported by Toma [ 18 ] that some in-service language teachers lack coherence between digital storytelling and curriculum content. The use of ICT in teaching and learning is not adequately incorporated or evaluated in some curricula [ 19 ].

Inadequate ICT Pedagogic Skills: ICT may not be sufficient for supporting, enhancing, or transforming teaching and learning if pedagogical approaches, strategies, or methods are not adopted, adapted, or innovated. This challenge mainly affects teachers, who may not have enough pedagogical changes to use ICT effectively. Several preservice mathematics teachers were not sufficiently adopting GeoGebra software or adapting it to their existing pedagogical practices [ 7 ]. Digital storytelling did not lead to enough innovation in pedagogical practices for some in-service language teachers [ 4 ]. For some in-service teachers, ICT was ineffective in shifting science teachers from teacher-centered to student-centered learning [ 35 ].

According to the research conducted on RQ3, teachers' attitudes, beliefs, and practices regarding the integration of ICT are influenced by professional development, school support, leadership, pedagogical understanding, and technical knowledge. The review included 14 studies that addressed this question. These studies covered various aspects of teacher education, including preservice training, in-service training, mentoring, coaching, collaboration, reflection, feedback, evaluation, and certification. Most studies indicate that enhancing teachers' ICT integration skills and competencies requires professional development opportunities. Professional development significantly influenced teacher attitudes, beliefs, and practices related to ICT integration, as in the following examples:

Planinc and Kolnik [ 7 ] found that GeoGebra workshops improved preservice mathematics teachers' technological pedagogical content knowledge (TPACK) and confidence in using GeoGebra.

Ilona-Elefteryja [ 6 ] established that biology teachers who attended a Moodle LMS course were more self-efficacious and motivated to use Moodle LMS in the classroom.

Thibault [ 20 ] identified that preservice science teachers who worked on WebQuest designed projects improved their inquiry skills as well as their pedagogical reasoning and

Lie [ 14 ] reported that mentored in-service language teachers became more proficient in digital literacy and pedagogical strategies for utilizing digital libraries.

Furthermore, school support, leadership, and culture can facilitate or hinder ICT integration in secondary education. In addition to providing adequate resources, infrastructure, and technical assistance for ICT integration, school support includes creating a shared vision, mission, and goals for ICT integration; fostering a supportive, collaborative, and innovative school climate for ICT integration; and rewarding, and recognizing teachers and students for their efforts and achievements. School leadership modeled, promoted, and advocated ICT integration, empowering, encouraging, and inspiring teachers and students. It also involved monitoring, evaluating, and improving the effectiveness and quality of integrating ICTs in the teaching and learning process, as itemized in the following examples which;

teachers' attitudes and practices regarding using Autograph software in mathematics were positively correlated with school support and leadership, as Karahan [ 15 ] observed,

Ruggiero and Mong [ 16 ] stated that obtaining school support and leadership was one of the most critical factors in implementing WebQuests to teach social studies and finally,

strong school leadership and school support can foster a culture of innovation and collaboration among teachers and students in the use of ICT, as Ramos and de Andrade [ 21 ] suggested.

Therefore, there should be a holistic and systemic approach to incorporating ICT tools in secondary education to achieve effective ICT integration. This empirical review shows that ICT integration involves changing teachers' and students' beliefs, attitudes, and behaviors, not just pedagogical or technical issues. Hence, the sampled studies attempted to address this issue by investigating how ICT tools could be meaningfully integrated into the learning environment in a quest to integrate useful ICT tools to improve the learning process and the well-being of its users. Sampled studies investigated the integration of a variety of ICT tools and methods, such as digital storytelling, WebQuest, GeoGebra, Moodle LMS, Autograph, and digital libraries. The studies described ICT tools and methods in terms of their features, functions, advantages, and disadvantages and granting examples of the impacts of these ICT tools in the learning environment.

As an example, Multimedia stories can be created and shared using digital tools and platforms. Through the study of digital literacy, students can improve their writing skills, creativity, motivation, collaboration, and communication skills. Moreover, it allows students to express their opinions, emotions, and experiences meaningfully. Language, social studies, and the arts are all possible applications of this technique [ 4 , 13 , 18 , 29 ]. Online resources are used to create and complete WebQuests, which are inquiry-based tasks. Student learning can be enhanced by improving inquiry skills, scientific literacy, critical thinking, problem-solving, and self-regulation. It also allows students to explore everyday issues, questions, and problems in a structured environment. In addition to science, mathematics, and social studies, this approach benefits all subjects [ 16 , 17 ].

Furthermore, GeoGebra uses algebraic expressions to create geometric constructions that can be modified dynamically. Students will learn geometry concepts more deeply, become more curious, and gain greater self-confidence through the program. Besides, it may be used to visually represent, explore, or prove geometric relationships, properties, and theorems. This approach may teach mathematical subjects [ 7 , 25 , 28 ]. You can manage and deliver online courses with multiple modules and activities with the Moodle Learning Management System. When students are motivated, engaged, and collaborate during the learning process, they are more likely to achieve, be motivated, and be engaged. Teachers can also use this software for designing, delivering, assessing, and monitoring online courses. It can cover various topics [ 6 , 23 ].

In addition, Using an Autograph program, dynamic graphs can be manipulated using numerical data and functions. Exposure to graphing concepts results in students performing better, understanding more, feeling more confident, and being more curious. Also, students can interact with graphs by visualizing, exploring, and analyzing them. To practice mathematics, users can access digital resources such as books, articles, images, and videos through digital libraries [ 14 , 15 ] and students can become more engaged, read more, and understand digital literacy better. As a result of a digital resource management system [ 14 ] digital resources can also be provided, organized, and recommended for use in a wide variety of subjects. In secondary education, ICT tools and methods suggest that it is a dynamic phenomenon that requires an adaptable and flexible approach to address diverse topics and situations. ICT integration is used to develop, implement, evaluate, and improve ICT-based learning activities to support, enhance, and transform teaching and learning. Based on our systematic review, Table 3 summarizes our discussion of challenges and possible solutions associated with the integration of ICT in secondary schools.

4.1 Implications for policy and practice

The implications of this systematic literature review for policy and practice in secondary education are numerous. Policymakers should consider implementing ICT integration in secondary education with clear, coherent, comprehensive policies and guidelines addressing various dimensions and factors. These factors are associated with ICT integration, including resources, training, support, curriculum alignment, and pedagogical changes. In secondary education, providing adequate and appropriate resources, infrastructure, and technical assistance is essential to ensuring that ICT tools and resources are available, accessible, reliable, compatible, and secure. Improving teachers' attitudes, beliefs, and practices related to ICT integration should support and facilitate effective and meaningful professional development opportunities. In addition, a shared vision, mission, and goals for ICT integration in secondary education should be created by cultivating a supportive, collaborative, and innovative school culture and climate. A culture and climate that inspires teachers and students to use ICT in education and recognizes, rewards, and celebrates teachers and students' ICT integration achievements.

Practitioners should incorporate ICT tools in teaching and learning to enhance, support, and transform student learning outcomes, motivation, engagement, and skills development. This can be achieved by adopting and adapting strategies and pedagogical methods to integrate ICT tools into the secondary school learning environment efficiently. The integration should be aligned and well coordinated with the curriculum's objectives, content, and standards for teaching and learning purposes. Therefore, Table 3 outlines how the practitioners can address the different issues surrounding the ICT tools integration in the learning process. For example, various topics and situations in teaching and learning may require practitioners to explore, use, or suggest ICT tools and methods to address each context and subject area's specific needs, challenges, and opportunities. There should be effective mechanisms for monitoring, assessing, and improving the quality and effectiveness of ICT integration in teaching and learning by planning, implementing, evaluating, and improving ICT-based learning activities. It is evident from this systematic literature review that a framework is needed to promote better computer-aided learning in secondary schools and to integrate ICT effectively. Therefore, to ensure an effective and beneficial integration of ICT tools in schools, the researchers have proposed the ICT integration framework as in Fig.  6 , illustrating how different aspects of an effective integration interact within an integration system.

ICT integration framework

According to the sampled studies, effective integration of ICT depends on students' and teachers' motivation [ 13 , 18 , 19 , 28 ] Additionally, the authors recommend that secondary schools align ICT integration with their curricula [ 6 , 20 ] and learning objectives as well as maintaining ICT tools [ 4 , 14 ] and develop appropriate ICT skills for teachers as well as learners [ 15 , 16 , 17 ]. Therefore, ICT integration depends mainly on capacity development [ 6 , 7 ], which should be focused on harnessing technological knowledge with pedagogical understanding [ 16 , 21 ] in a conducive learning environment supported by all stakeholders [ 15 , 20 , 29 ]. Finally, capacity development should further enable students, teachers, and other experts to identify challenges and address them efficiently [ 23 , 25 , 26 ]. This framework is a cyclic model of effectively integrating ICT in a learning context.

4.2 Limitations and future research

A systematic literature review has several limitations, including that the scope of the review was limited to the use of information and communication technology in secondary schools for teaching and learning. Therefore, the study findings cannot be generalized or applied to any other level or setting of education, such as primary schools, higher education, or informal education. Studies that are included in a review determine its quality. Methodological aspects such as sample size, design, measurement, or analysis may affect the included studies' results. Thus, the strengths and weaknesses of the synthesis methods may affect the synthesis results.

ICT integration in secondary education should be explored in more diverse and dynamic ways to accommodate various topics and situations in secondary education. Every context and subject area may present different needs, challenges, and opportunities, which require tools that can be applied to them. Examine holistic and systemic approaches to integrating ICT into secondary school teaching and learning that address the resource, training, support, curriculum alignment, and pedagogical changes associated with ICT integration.

5 Conclusion

This study was conducted to comprehensively and rigorously review peer-reviewed studies on integrating information and communication technology in secondary schools. This study followed PRISMA guidelines and the Cochrane Handbook for Systematic Reviews [ 9 ] as the framework, assuring rigor and transparency. In this analysis, three research questions on ICT integration in secondary education were explored with regard to benefits, challenges, best practices, and barriers. As this systematic review highlights, several types and characteristics of ICT tools and methods can be utilized in teaching various secondary education topics. For adequate and appropriate ICT integration resources, infrastructure, and technical assistance, policymakers should develop and implement clear, coherent, and comprehensive policies and guidelines. To foster a supportive, collaborative, and innovative school climate, teachers must be able to participate in practical and meaningful professional development opportunities. For information and communication technology to be effectively utilized for teaching and learning, practitioners must adopt, adapt, or innovate pedagogical approaches, strategies, and methods that align and integrate ICT tools with curriculum objectives, content, or standards. They should explore, use, and propose diverse and dynamic ICT tools and methods for a wide range of topics to ensure that learners get the best out of the learning process.

Data availability

Not applicable. The data for this study originated from secondary desk research.

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1.1 Appendix 1: Summary of included studies highlighting ict integration and impacts in secondary schools

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Msafiri, M.M., Kangwa, D. & Cai, L. A systematic literature review of ICT integration in secondary education: what works, what does not, and what next?. Discov Educ 2 , 44 (2023). https://doi.org/10.1007/s44217-023-00070-x

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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  

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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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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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