A Bibliometric Analysis of Research on ChatGPT in Education

ArticleAçık Erişim

Özet

ChatGPT has become a prominent tool for fostering personalized and interactive learning with the advancements in AI technology. This study analyzes 212 academic research articles indexed in the Scopus database as of July 2023. It maps the trajectory of educational studies on ChatGPT, identifying primary themes, influential authors, and contributing institutions. By employing bibliometric indicators and network analysis, the study explores collaboration patterns, citation trends, and the evolution of research interests. The findings show the exponential growth of interest in leveraging ChatGPT for educational purposes and provide insights into the specific educational domains and contexts that have garnered the most attention. Furthermore, the study reveals the collaborative dynamics and intellectual foundations shaping the field by examining co-authorship and citation networks. This bibliometric analysis contributes to a comprehensive understanding of the current state of ChatGPT research in education, offering researchers and practitioners valuable insights into evolving trends and potential future directions for this innovative aspect of AI and learning.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/ebyu/16838Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.46328/ijte.606Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorPolat, Hamza
dc.contributor.authorTopuz, Arif Cem
dc.contributor.authorYildiz, Mine
dc.contributor.authorTaslibeyaz, Elif
dc.contributor.authorKursun, Engin
dc.date.accessioned2026-10-18T20:38:56.765078888Z
dc.date.available2026-10-18T20:38:56.765078888Z
dc.date.issued2024
dc.description.abstractChatGPT has become a prominent tool for fostering personalized and interactive learning with the advancements in AI technology. This study analyzes 212 academic research articles indexed in the Scopus database as of July 2023. It maps the trajectory of educational studies on ChatGPT, identifying primary themes, influential authors, and contributing institutions. By employing bibliometric indicators and network analysis, the study explores collaboration patterns, citation trends, and the evolution of research interests. The findings show the exponential growth of interest in leveraging ChatGPT for educational purposes and provide insights into the specific educational domains and contexts that have garnered the most attention. Furthermore, the study reveals the collaborative dynamics and intellectual foundations shaping the field by examining co-authorship and citation networks. This bibliometric analysis contributes to a comprehensive understanding of the current state of ChatGPT research in education, offering researchers and practitioners valuable insights into evolving trends and potential future directions for this innovative aspect of AI and learning.
dc.identifier.doi10.46328/ijte.606
dc.identifier.eissn2689-2758
dc.identifier.endpage85
dc.identifier.issue1
dc.identifier.startpage59
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/16838
dc.identifier.volume7
dc.identifier.wosWOS:001197961000004
dc.language.isoen
dc.publisherINT SOC TECHNOLOGY EDUCATION & SCIENCE-ISTES
dc.relation.ispartofINTERNATIONAL JOURNAL OF TECHNOLOGY IN EDUCATION
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectChatGPT
dc.subjectEducational technologies
dc.subjectBibliometric analysis
dc.subjectGenerative AI
dc.subjectARTIFICIAL-INTELLIGENCE
dc.subjectEducation & Educational Research
dc.titleA Bibliometric Analysis of Research on ChatGPT in Education
dc.typeArticle
dspace.entity.typePublication
rdl.citation.wos25
rdl.oa.statusgold
rdl.source.indexWOS
rdl.wos.indexEmerging Sources Citation Index (ESCI)