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DOI: AI-ASSISTED TEACHING METHODOLOGY: A PRACTICAL GUIDE TO INTEGRATING ARTIFICIAL INTELLIGENCE INTO ENGLISH LANGUAGE INSTRUCTION
Aygozel Yazmuradova , English Teacher, Seattle, Washington State, USAAbstract
The methodology articulates a systemic approach to integrating artificial intelligence (AI) into English language teaching, aimed at cultivating teachers’ methodological competence in using digital tools to personalize instruction and enhance instructional efficiency. The relevance of this work is conditioned by a widening gap between the theoretical potential of AI and its actual uptake in pedagogical practice. The novelty of the methodology lies in the development of a holistic model of AI-assisted teaching, uniting three interrelated components: (1) a map of AI tools classified by didactic functions and language-skill domains; (2) an authorial checklist for pedagogical, ethical, and technical appraisal of educational applications; (3) a protocol for implementing AI within the lesson structure, aligned with contemporary blended-learning models (flipped classroom, station rotation, flex model). In addition, an original method is presented for constructing individualized learning trajectories based on adaptive AI platforms, along with a system for automating pedagogical routines, from assignment checking to progress analytics. The main conclusions indicate that AI integration does not replace the teacher. Instead, it transforms the teacher’s professional role. Artificial intelligence performs algorithmizable operations, data analysis, task generation, and evaluation of typical responses, thereby freeing teacher time for strategic instructional design, facilitating interaction, and developing students’ critical thinking. The methodology will be helpful to English language teachers, methodologists, educational program developers, and school leaders seeking to implement AI in the learning process on a scientifically grounded, ethically safe basis.
Keywords
artificial intelligence, English language teaching, learning personalization, blended learning, AI integration, digital didactics, pedagogical transformation
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