Quantifying the digital divide: The relationship between AI dependency and academic integrity in EFL learners

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dc.authorid0000-0001-5619-2089
dc.contributor.authorKeleş, Eren Doğukan
dc.contributor.editorCoşgun Ögeyik, Muhlise
dc.date.accessioned2026-08-25T15:43:29Z
dc.date.available2026-08-25T15:43:29Z
dc.date.issued2026
dc.departmentYüksekokullar, Yabancı Diller Yüksekokulu, İngilizce Mütercim-Tercümanlık Bölümü
dc.description.abstractAs generative artificial intelligence (GenAI) becomes deeply embedded in higher education, concerns regarding student reliance on these tools have intensified. This study examined the predictive relationship between Academic Integrity (AIS) and Generative AI Dependency (GAID) among university EFL students (N = 117). Utilizing a quantitative correlational design, a simple linear regression revealed that academic integrity was not a significant predictor of AI dependency, F(1, 115) = 0.201, p = .655, accounting for a negligible 0.2% of the variance. Furthermore, one-way ANOVAs confirmed that both constructs remained stable across gender, age, major, and grade level (p > .05). Descriptive data on usage patterns provided a functional explanation for these null findings: students primarily utilize GenAI for idea generation (53.8%), linguistic correction (47.9%), and translation (41.0%). These results suggest a psychological decoupling where students categorize AI as a neutral cognitive scaffold rather than an ethical hazard. The study concludes that because dependency is driven by pragmatic utility rather than a lack of moral character, institutional responses must transition from traditional punitive integrity policies toward pedagogical frameworks that prioritize AI literacy and cognitive independence.
dc.identifier.citationKeleş, E. D. (2026). Quantifying the digital divide: The relationship between AI dependency and academic integrity in EFL learners. M. Coşgun Ögeyik (Ed.), Interdisciplinary Studies in English Language Teaching and Applied Linguistics, pp. 69-81. https://doi.org/10.30546/19023.978-9952-610-60-4.2026.100.1120
dc.identifier.doi10.30546/19023.978-9952-610-60-4.2026.100.1120
dc.identifier.endpage81
dc.identifier.startpage69
dc.identifier.urihttps://doi.org/10.30546/19023.978-9952-610-60-4.2026.100.1120
dc.identifier.urihttps://hdl.handle.net/20.500.13055/1605
dc.institutionauthorKeleş, Eren Doğukan
dc.institutionauthorid0000-0001-5619-2089
dc.language.isoen
dc.publisherBZT Turan Publishing House
dc.relation.ispartofInterdisciplinary Studies in English Language Teaching and Applied Linguistics
dc.relation.publicationcategoryKitap Bölümü - Ulusal
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectGenerative AI Dependency
dc.subjectAcademic Integrity
dc.subjectAI Literacy
dc.subjectStudent Ethics
dc.subjectEFL Learners
dc.titleQuantifying the digital divide: The relationship between AI dependency and academic integrity in EFL learners
dc.typeBook Chapter
dspace.entity.typePublication

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