DEVELOPING ACADEMIC WRITING THROUGH ARTIFICIAL INTELLIGENCE

Abstract

This article presents a design-based and mixed-method research model for developing academic writing through artificial intelligence in the context of foreign language teacher education. The study is built around the AI Academic Writing Lab platform, a digital research ecosystem that integrates doctoral preparation, research idea generation, academic writing analysis and an AI research assistant. The platform is designed not as a replacement for human authorship, but as a controlled pedagogical environment in which learners can formulate research problems, structure academic texts, improve scholarly language, verify methodological logic and reflect on ethical AI use. The article synthesizes international evidence from UNESCO guidance on generative AI in education and research, OECD work on artificial intelligence and education, European ethical guidelines, publication ethics recommendations, and current studies on AI-supported academic writing. The proposed model defines the pedagogical conditions as: AI literacy, transparent authorship, prompt engineering competence, source verification, teacher-guided revision, academic integrity, and reflective documentation of AI assistance. Practical platform screenshots and classroom implementation photographs are used as visual evidence of the developed model and its testing context. The article offers a publication-ready framework for future empirical validation in higher education and foreign language methodology programmes.