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Chatbots in education in Web of Science from 2016 to 2023

A bibliometric analysis

Bibliographic Data

ID22189586
AuthorsAmirah Al-Zahrani (University of Bisha), Ibrahim Khalil (0000-0001-5065-860X, University of Bisha), Bakri Awaji (0000-0001-5831-8482, University of Bisha), Mohammed Ali Mohsen (0000-0003-3169-102X, Center for Applied Linguistics), Mohammed Mohsen
Year2024
Volume8
Issue9
Pages5833
Publication date2024-09-05
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Infrastructure Policy and Development (JOURNAL)
Journal identifiersISSN: 2572-7923 • E-ISSN: 2572-7931
PublisherEnPress Publisher (PUBLISHER)
DOI10.24294/jipd.v8i9.5833
OpenAlexW4402282751
LanguageEN
Citations received1

Despite the surge of publication of chatbots in the recent years in the field of education, we have little to know how this area has been researched so far, and the metrics of this type of research is still not known. To address such gap, this article offers a descriptive bibliometric study of chatbot research in education, aiming at presenting bibliometric analysis on articles on chatbots in education that were published in journals indexed in the Web of Science (WOS) database specifically Social Science Citation Index (SSCI) and Science Citation Index Expanded (SCIE) between 2016 and 2023. Descriptive bibliometric analysis was used to examine the data gathered from the chosen publications. including the annual number of articles and citations, the most productive author, countries with the highest publication output, productive affiliations, funding organizations, and publication sources. The bulk of the articles on chatbots in education, according to our dataset, were published between 2016 and 2023. The United States of America tops the list of countries regarding research productivity. The United Kingdom and China were ranked as most second and third productive countries, in terms of publication outputs. “Luke Kutszik Fryer emerged as the most productive author in this research domain in terms of the number of publications.” The University of Hong Kong had the highest number of publications among affiliations, indicating their significant contribution to the field. Additionally, the journal “Computers in Human Behavior” stood out with the highest number of publications per year, highlighting its relevance in publishing research on chatbots in education. This research offers valuable insights and a roadmap for prospective researchers, pinpointing critical areas where success can be attained in the study of chatbots in education

Bibliometrics · MEDLINE · Political science · Web of science · World Wide Web · AI in Service Interactions · Computer Science · E-Learning and Knowledge Management · Online Learning and Analytics

  • Using chatbot in education – A systematic review and research agenda

    Open Access•Tai Ming Wut, Tai-ming Wut et al.•Social Sciences & Humanities Open•2026

Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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Open DOIOpen Access
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