A bibliometric analysis of worldwide educational artificial intelligence research development in recent twenty years

Educational artificial intelligence (EAI) refers to the use of artificial intelligence (AI) to support personalized and automated feedback and guidance in the educational field. Inevitably, it serves as a more important part of the educational system in the coming years. However, novel development i...

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Bibliographic Details
Published inAsia Pacific education review Vol. 21; no. 3; pp. 473 - 486
Main Authors Song, Pu, Wang, Xiang
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.09.2020
Springer
Springer Nature B.V
교육연구소
Subjects
Artificial Intelligence
Bibliometrics
Cooperation
Education
Educational Research
Educational Trends
Feedback (Response)
Global Approach
Guidance
Intelligent Tutoring Systems
International Cooperation
Management Systems
Multivariate Analysis
Teaching Methods
Trend Analysis
교육학
Relationship between humans and machines
Educational artificial intelligence
Research development
Bibliometric analysis
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ISSN1598-1037
1876-407X
DOI10.1007/s12564-020-09640-2

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Summary:Educational artificial intelligence (EAI) refers to the use of artificial intelligence (AI) to support personalized and automated feedback and guidance in the educational field. Inevitably, it serves as a more important part of the educational system in the coming years. However, novel development in this field has been inadequately reviewed and conceptualized in a visualized, objective and comprehensive way. In this view, a bibliometric analysis was conducted to obtain an overview of its trends from publication outputs, countries’ cooperation, cluster analysis, and research evolution. Around 8660 Scopus-published articles from 2000 to 2019 were gathered for analysis using CiteSpace and Alluvial generator. In the study, a growing interest in EAI research and deepening cooperation among countries was first identified, entailing favorable conditions for promoting globalization in this aspect. Afterward, five core clusters were established for the intellectual structure of EAI, including intelligent tutoring system, learning system, student, labeled training data, and pedagogy. The development of EAI research was further conceptualized as follows: (a) technological foundation; (b) technological breakthrough; (c) intelligent application; and (d) symbiotic integration. Finally, three prospective directions for future EAI research were suggested.
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ISSN:1598-1037
1876-407X
DOI:10.1007/s12564-020-09640-2