GUNINA N. TRANSFORMING APPROACHES TO TEACHING ACADEMIC WRITING IN THE ERA OF GENERATIVE ARTIFICIAL INTELLIGENCE. LIFELONG EDUCATION: The 21st Century.
2026. Vol. 14. No. 3. DOI: 10.15393/j5.art.2026.13086


Vol. 14. No. 3.

Lifelong learning in the modern world: the research and design methodology
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TRANSFORMING APPROACHES TO TEACHING ACADEMIC WRITING IN THE ERA OF GENERATIVE ARTIFICIAL INTELLIGENCE

GUNINA Nataliya A.
PhD in Philological Sciences, Associate Professor, Head of the Department of Foreign Languages and Professional Communication
Tambov State Technical University
(Tambov, Russian Federation)
natalya_gunina@mail.ru
Keywords:
academic writing
scientific discourse
AI technologies
process-genre approach
collaborative writing
AI ethics
writing instruction.		 Abstract: with the digitalization of education and the rapid development of artificial intelligence technologies, traditional approaches to teaching academic writing are taking on a new direction. Scholars and practicing teachers are experimenting with various artificial intelligence tools to optimize the learning and writing process and increase the effectiveness of developing essential skills. The aim of this study is to analyze the evolution of these approaches through a systematic review (2014‒2025) of sources from journals indexed in the scientometric databases Scopus, Web of Science, eLIBRARY.ru, and Google Scholar. A comparative analysis revealed the advantages of traditional approaches (structured learning, mastering IMRaD conventions) and their limitations (routine, labor-intensive), as well as the strengths of modern technologies (personalization, feedback) amid the risks of «hallucinations», plagiarism, and ethical dilemmas. The results demonstrate a shift to integrating AI into teaching academic writing. The development of hybrid models integrating traditional and digital methods to improve the effectiveness of academic writing instruction is recognized as a promising direction.
Paper submitted on: 03/09/2026; Accepted on: 08/24/2026; Published online on: 09/26/2026.

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DOI: http://dx.doi.org/10.15393/j5.art.2026.13086