USING ARTIFICIAL INTELLIGENCE TO DEVELOP AUTONOMOUS METHODOLOGICAL COMPETENCE IN FUTURE ENGLISH TEACHERS
Keywords:
artificial intelligence; teacher education; autonomous learning; methodological competence; future English teachers; reflective practice; digital pedagogy; professional development.Abstract
Artificial intelligence has become an important component of modern education and teacher training. In recent years, AI-based technologies have been increasingly used in language learning, assessment, and methodological support. For pedagogical universities in Uzbekistan, the development of autonomous methodological competence in future English teachers is a relevant task, as modern teachers are expected to work independently, make methodological decisions, and continuously improve their professional skills. Autonomous methodological competence includes the ability to plan lessons, select teaching methods, evaluate learning outcomes, and reflect on teaching practice (Zimnyaya, 2017). Artificial intelligence can support the development of this competence by providing personalized learning opportunities, automated feedback, and tools for self-assessment (Goryachev, 2019). This article examines how artificial intelligence can be used to develop autonomous methodological competence in future English teachers and discusses its educational potential and limitations.
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