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dc.contributor.authorCharbonneau-Gowdy, Paula
dc.contributor.authorCubric, Marija
dc.contributor.authorDyer, Ronald
dc.contributor.authorPagano, Alessandro
dc.contributor.authorPechenkina, Katya
dc.contributor.authorSöbke, Heinrich
dc.contributor.authorSpangenberger, Pia
dc.date.accessioned2024-09-23T16:30:10Z
dc.date.available2024-09-23T16:30:10Z
dc.date.issued2024-05-30
dc.identifier.citationCharbonneau-Gowdy , P , Cubric , M , Dyer , R , Pagano , A , Pechenkina , K , Söbke , H & Spangenberger , P 2024 , ' EJEL Editorial 2024: The Allure of AI in Education ' , Electronic Journal of e-Learning , vol. 22 , no. 5 , pp. 117-122 . https://doi.org/10.34190/ejel.22.5.3629
dc.identifier.issn1479-4403
dc.identifier.urihttp://hdl.handle.net/2299/28232
dc.description© 2024 The Authors. his is an open access Editorial under the Creative Commons Attribution-Non Commercial-No Derivatives CC BY-NC-ND licence, https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.description.abstractThe objectives of this editorial are to provide a brief overview of the themes of EJEL papers published in 2023, compare these themes with the areas of work suggested in the previous Editorial (Charbonneau-Gowdy, et al., 2023), and propose new areas of focus for future research. The present Editorial will primarily concentrate on the main challenges arising from the release and use of GPT-3 and GPT-4 in 2023.en
dc.format.extent6
dc.format.extent365019
dc.language.isoeng
dc.relation.ispartofElectronic Journal of e-Learning
dc.subjectAI
dc.subjectAT chatbot
dc.subjecte-Learning
dc.subjectEducation
dc.subjectComputer Science Applications
dc.titleEJEL Editorial 2024: The Allure of AI in Educationen
dc.contributor.institutionHertfordshire Business School
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85196109740&partnerID=8YFLogxK
rioxxterms.versionofrecord10.34190/ejel.22.5.3629
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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