A bibliometric analysis of Research on Education 4.0 during the 2017–2021 period

Dao, Lai; Tran, Trung; Lê, Hông Vân; Nguyen, Giang Ngoc; Trinh, Thao Phuong Thi

doi:10.1007/s10639-022-11211-4

Cited by 24 publications

(20 citation statements)

References 42 publications

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“…This study undertook a comprehensive bibliometric analysis of the scientific publications on the advancing landscape of AI's utilization within educational settings. Since its introduction in the 1960s, bibliometric analysis techniques have been extensively employed to examine the scientific development of several local and global study topics (Dao et al, 2023; Pritchard, 1969). It uncovers the performance of articles and journals, patterns of collaboration, and the specific domain of emerging literature (Donthu et al, 2021).…”

Section: Methodsmentioning

confidence: 99%

The Transformative Trajectory of Artificial Intelligence in Education: The Two Decades of Bibliometric Retrospect

Kavitha,

Joshith

2024

Journal of Educational Technology Systems

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Integrating artificial intelligence (AI) stands out as the most dynamic and innovative breakthrough in introducing disruptive paths in the varied domains of education. This bibliometric analysis delved into the trajectory of AI’s evolving landscape within educational settings over two decades, encompassing 324 articles published from 2003 to 2023, sourced from the Scopus database. The study uncovers a substantial surge in publications with a steep increase from 2020, peaking in 2023. Notably, while established nations like China and the US lead in publications, notable contributions from other developing countries, including Saudi Arabia, India, and Malaysia, underscored a global shift. Key terms, including students, machine learning, AI and higher education, underpin the central focus research areas while emerging themes like “generative AI” and chatbots like “chatgpt” mark the evolving trends. Further, the study prompts sustained global partnerships, interdisciplinary collaborations, and continued exploration of emerging AI technologies to catalyze educational advancements.

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Section: Methodsmentioning

confidence: 99%

The Transformative Trajectory of Artificial Intelligence in Education: The Two Decades of Bibliometric Retrospect

Kavitha,

Joshith

2024

Journal of Educational Technology Systems

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“…In this regard, bibliometric analysis may be used to extract information from the records gathered by scientific publication databases. Bibliometric analysis is frequently used by researchers to study the scientific development of a particular topic in different research fields (Dao et al, 2022). The bibliometric analysis aids in the quantitative and objective study of research hotspots and development patterns in disciplines (Song et al, 2019).…”

Section: Methodsmentioning

confidence: 99%

“…Bibliometrix was a bibliometric analysis tool developed in the R programming language, which provides more flexibility and simple integration than other statistical and graphical programs (Dao et al, 2022). In this work, the web interface‐aided Biblioshiny application of Bibliometrix was used to completely perform scientific mapping operations in the constantly evolving science field (Aria & Cuccurullo, 2017; Pham‐Duc et al, 2022).…”

Section: Methodsmentioning

confidence: 99%

A bibliometric analysis of situational interest research

Meşe

2023

Review of Education

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Interest is a variable that assists students in acquiring knowledge and instructors in creating an encouraging classroom environment. Situational interest, on the other hand, is a type of interest that will assist students' interest to develop by organising environmental conditions. The research on situational interest has been ongoing for more than two decades, and the bibliometric information of this research has grown. The current research aims to examine trends and advances to assist researchers in understanding the perspective of situational interest research. The bibliometric analysis was conducted with Biblioshiny and VOSviewer. The current study analysed WoS data about the meta‐information of 573 published articles on situational interest. The results obtained from the WoS database reveal a growing interest in applying situational interest. Bradford's law results show that 195 articles published in 15 journals were in Zone 1. The result of Lotka's law explained that theoretical and observed research data fit. Education‐related keywords such as achievement, motivation, text, recall, comprehension, and other education‐related variables such as self‐efficacy and design, gender, college students, biology, and context have been placed under the basic theme that is most relevant and developing. It can be said that other results of the current study guide authors about situational interest research. Context and implicationsRationale for this studyThe studies on situational interest have increased over the last two decades, but there are few reviews of situational interest publications. This study has examined trends and advances in the studies to assist researchers in understanding the perspective of situational interest research with bibliometric analysis.Why the new findings matterThe findings have highlighted trends and advances in the scientific output of situational interest with bibliometric analysis.Implications for practitionersIn addition to revealing the trends and advances in situational interest research, the findings can help to focus more on some emerging research themes that can guide future situational interest researchers. According to findings, the recent research of situational interest focuses on cognitive load, motivation, achievement, and emerging technology such as augmented reality technology. The Four‐Phase Model of Interest Development is the most popular document among situational interest research to understand situational interest. The results show that researchers had an international collaboration from different countries and different institutions.

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“…Though, the subject field of Education 4.0 is still getting its shape, there are several reviews on the topic. 16 in the search results, including 8 entirely relevant reviews in English (Ah- mad et al, 2022;Butt et al, 2022;Chaka, 2022;Costan et al, 2021;Dao et al, 2023;González-Pérez, & Ramírez-Montoya, 2022;Moraes et al, 2022). Some of the reviews as well as other publications came out in the journals that do not belong to high quartiles or are brought out by the publishers with dubious reputation as a bibliometric review stated (Dao et al, 2023).…”

Section: Research On Education 40mentioning

confidence: 99%

“…16 in the search results, including 8 entirely relevant reviews in English (Ah- mad et al, 2022;Butt et al, 2022;Chaka, 2022;Costan et al, 2021;Dao et al, 2023;González-Pérez, & Ramírez-Montoya, 2022;Moraes et al, 2022). Some of the reviews as well as other publications came out in the journals that do not belong to high quartiles or are brought out by the publishers with dubious reputation as a bibliometric review stated (Dao et al, 2023). The bibliometric review on Education 4.0 for 2017-2021 also found that "the research field is very fragmented" (Dao et al, 2023).…”

Section: Research On Education 40mentioning

confidence: 99%

Education 4.0: The Concept, Skills, and Research

Tikhonova¹,

Raitskaya

2023

JLE

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Introduction. With Industry 4.0 and Work 4.0 entering the world, modern education is undergoing transformations in terms of educational practices, skillsets and competencies, teaching and learning methodologies (including flipped classroom, blended learning, self-regulated learning, project-based learning, inquiry-based learning, student-centred pedagogy), digital tools used at all educational levels, as well as barriers and challenges. This string of changes is covered by the new buzzword “Education 4.0”. It is not so far finally defined. There are various explanations of the concept. Most align with the Fourth Industrial Revolution and Industry 4.0. The JLE editorial aims to overview the emerging research field of Education 4.0 aligned with Industry 4.0, outlining the potential lines of research for JLE authors. Industry 4.0. The transformation of production at large is beginning on the basis of a set of innovative technologies and completely brand-new processes. Their combination constitutes the underpinning of Industry 4.0. Skillsets in Education 4.0. There are numerous views of the skills needed for graduates ready for Industry 4.0. One of the most replicated lists embraces the 10 skills offered by the World Economic Forum in 2016 with later updates. Most researchers outline numerous technical, communication, digital, and cognitive skills as a skillset of Industry 4.0. Teaching and Learning in Education 4.0. The traditional pedagogy or face-to-face learning, still dominant worldwide, is going to combine with innovative approaches, including, e-learning, and blended learning as a mixture of e-learning ang face-to-face learning. In addition, all student-centered technologies add to the future pedagogical landscape: self-regulated learning, project-based learning, flipped classroom, etc. Research on Education 4.0. The authors searched the Scopus for the documents related to “Education 4.0” to find that the total of 483 results unevenly distributed from 2010 to 2023, with a high of 137 in 2022. The analysis of the publications on Education 4.0 proves that the research field is developing fast, though publications authored by researchers from the developing countries prevail in the search results. At the same time, most of the selected publications came out in the Scopus-indexed low-quartile or discontinued journals. A disproportionately low number of articles published by the authors from the OECD countries depletes the quality of the research field. Conclusion. The editorial overview of the concept of Education 4.0 may serve as a topical guidance for researchers at large and potential JLE authors focused on educational research. Further studies in the field may cover skillsets and competencies for Industry 4.0; teaching and learning approaches in Education 4.0; new educational frameworks and environments.

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A bibliometric analysis of Research on Education 4.0 during the 2017–2021 period

Cited by 24 publications

References 42 publications

The Transformative Trajectory of Artificial Intelligence in Education: The Two Decades of Bibliometric Retrospect

The Transformative Trajectory of Artificial Intelligence in Education: The Two Decades of Bibliometric Retrospect

A bibliometric analysis of situational interest research

Education 4.0: The Concept, Skills, and Research

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