Artificial Intelligence in Education: A Bibliometric Study

Autor/in	Talan, Tarik
Titel	Artificial Intelligence in Education: A Bibliometric Study
Quelle	In: International Journal of Research in Education and Science, 7 (2021) 3, S.822-837 (17 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Talan, Tarik)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2148-9955
Schlagwörter	Artificial Intelligence; Bibliometrics; Teaching Methods; Technology Uses in Education; Databases; Research Reports; Periodicals; Authors; Faculty Publishing; Researchers; Productivity; Networks; Cooperation; Intelligent Tutoring Systems; Information Retrieval + Suchen Sie Ihr Suchwort? Künstliche Intelligenz; Bibliometrie; Teaching method; Lehrmethode; Unterrichtsmethode; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Datenbank; Research report; Forschungsbericht; Periodical; Journal; Zeitschrift; Fachzeitschrift; Periodikum; Author; Autor; Autorin; Researcher; Forscher; Produktivität; Co-operation; Kooperation; Intelligentes Tutorsystem
Abstract	The aim of this study is to examine the studies in the literature on the use of artificial intelligence in education in terms of its bibliometric properties. The Web of Science (WoS) database was used to collect the data. Various keywords were used to search the literature, and a total of 2,686 publications on the subject published between 2001-2021 were found. The inquiry revealed that most of the studies were carried out in the USA. According to the results, it was seen that the most frequently published journals were Computers & Education and International Journal of Emerging Technologies in Learning. The study showed that the institutions of the authors were in the first place as Carnegie Mellon University, University of Memphis and Arizona State University as the most productive organizations due to the number of their publications, while Vanlehn, K. and Chen, C. -M. were the most effective and productive researchers. As a result of the analysis, it was determined that the co-authorship network structure was predominantly USA, Taiwan and United Kingdom. In addition, when the keywords mentioned together were mapped, it was seen that the words artificial intelligence, intelligent tutoring systems, machine learning, deep learning and higher education were used more frequently. (As Provided).
Anmerkungen	International Society for Technology, Education, and Science. e-mail: ijresoffice@gmail.com; Web site: https://www.ijres.net/index.php/ijres
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01