The Crisis of Traditional Academic Writing in the Digital Ecosystem: Transforming Teaching Methodology amid Generative AI Expansion
| dc.contributor.author | Balasanian O. |
| dc.description.abstract | This 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.citation | Balasanian 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.uri | https://repository.hneu.edu.ua/handle/123456789/40261 |
| dc.language.iso | en |
| dc.subject | Large Language Models |
| dc.subject | Business English |
| dc.subject | ESP |
| dc.subject | process-oriented approach |
| dc.subject | distributed agency |
| dc.subject | role inversion |
| dc.title | The Crisis of Traditional Academic Writing in the Digital Ecosystem: Transforming Teaching Methodology amid Generative AI Expansion |
| dc.type | Article |
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