The Crisis of Traditional Academic Writing in the Digital Ecosystem: Transforming Teaching Methodology amid Generative AI Expansion

dc.contributor.authorBalasanian O.
dc.description.abstractThis article addresses the transformation of teaching and assessment methodologies for writing skills within ESP and Business English courses amidst the expansion of Large Language Models. The author substantiates a shift from evaluating the final textual product to monitoring the students' critical thinking process by integrating artificial intelligence as a digital co-agent. The study’s main conclusion demonstrates that implementing innovative task formats (comparative analysis, template revitalization, and role inversion) completely neutralizes plagiarism risks while ensuring the development of genuine analytical and foreign language expertise in early-career professionals.
dc.identifier.citationBalasanian O. The Crisis of Traditional Academic Writing in the Digital Ecosystem: Transforming Teaching Methodology amid Generative AI Expansion / O. Balasanian // Znanstvena misel journal, 2026. - №114. - Vol.1. - Pp. 17-19.
dc.identifier.urihttps://repository.hneu.edu.ua/handle/123456789/40261
dc.language.isoen
dc.subjectLarge Language Models
dc.subjectBusiness English
dc.subjectESP
dc.subjectprocess-oriented approach
dc.subjectdistributed agency
dc.subjectrole inversion
dc.titleThe Crisis of Traditional Academic Writing in the Digital Ecosystem: Transforming Teaching Methodology amid Generative AI Expansion
dc.typeArticle

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