Artificial Intelligence in Education: a Text Mining-Based Review of the Past 56 Years

dc.authorid Cantekin, Omer Faruk/0000-0001-5096-3233
dc.authorid Ekin, Cansu Cigdem/0000-0003-4838-9708
dc.authorscopusid 59549541700
dc.authorscopusid 57428018900
dc.authorscopusid 55488995000
dc.authorscopusid 57221951670
dc.contributor.author Ekin, C.C.
dc.contributor.author Cantekin, Ö.F.
dc.contributor.author Polat, E.
dc.contributor.author Hopcan, S.
dc.contributor.other Computer Engineering
dc.date.accessioned 2025-02-05T18:35:32Z
dc.date.available 2025-02-05T18:35:32Z
dc.date.issued 2025
dc.department Atılım University en_US
dc.department-temp Ekin C.C., Computer Engineering, Atilim University, Ankara, Incek, 06830, Türkiye; Cantekin Ö.F., Department of Social Work, Gazi University, Çankaya/Ankara, Türkiye; Polat E., Department of Computer Education & Instructional Technology Hasan Ali Yucel Education Faculty, Istanbul University- Cerrahpasa, Istanbul, 34452, Türkiye; Hopcan S., Department of Computer Education & Instructional Technology Hasan Ali Yucel Education Faculty, Istanbul University- Cerrahpasa, Istanbul, 34452, Türkiye en_US
dc.description.abstract Artificial Intelligence in Education (AIED) is a broad and multifarious area of study that spans across various academic fields. Due to the high numbers of studies in this field, it seems too challenging to analyze all of them in depth in a single study. Additionally, there is a lack of research that provides a comprehensive overview of the main trends and topics in AIED. This study, hence, aims to fill this gap by using text mining techniques to examine how artificial intelligence (AI)-related research in education has evolved over time. To this end, a total of 11,027 articles indexed by the Scopus database in the field of education between 1967 and 2023 were examined. Based on the findings, there has been a significant increase in AIED since 2014, covering 73% of the publications. Over the past three decades, AIED research has increasingly concentrated on engineering student populations and conference proceedings. Notably, AI solutions are extensively employed in education, with a strong focus on personalization, assessment, and evaluation. They also play a prominent role in research review processes, such as text mining and topic modeling for summarizing research findings. The findings contribute to the field, enhancing our understanding of the patterns of AI’s integration into education and offering guidance for prospective research endeavors. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. en_US
dc.description.woscitationindex Social Science Citation Index
dc.identifier.citationcount 0
dc.identifier.doi 10.1007/s10639-024-13225-6
dc.identifier.issn 1360-2357
dc.identifier.scopus 2-s2.0-85217379852
dc.identifier.scopusquality Q1
dc.identifier.uri https://doi.org/10.1007/s10639-024-13225-6
dc.identifier.wos WOS:001391747400001
dc.identifier.wosquality Q1
dc.institutionauthor Ekin, Cansu Çiğdem
dc.language.iso en en_US
dc.publisher Springer en_US
dc.relation.ispartof Education and Information Technologies en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 1
dc.subject Aied en_US
dc.subject Artificial Intelligence In Education (Aied) en_US
dc.subject Latent Dirichlet Allocation en_US
dc.subject Text Mining en_US
dc.subject Topic Modeling en_US
dc.title Artificial Intelligence in Education: a Text Mining-Based Review of the Past 56 Years en_US
dc.type Article en_US
dc.wos.citedbyCount 0
dspace.entity.type Publication
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relation.isAuthorOfPublication.latestForDiscovery 6ba797de-1a42-4c28-bbdc-867221fad30c
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