AI-ENHANCED METHODOLOGICAL TRAINING FOR FUTURE TEACHERS

Аннотация

Artificial intelligence (AI) is transforming education, but its integration into teacher preparation remains underdeveloped. This article reviews current approaches to AI in teacher training and proposes a structured framework for embedding AI technologies into pre-service and in-service teacher education. We outline a staged methodology – from foundational AI literacy to immersive practice and reflective assessment – aligned with emerging competency frameworks. The model leverages adaptive learning systems, AI tutors, chatbots, and simulations to personalize and enrich methodological training. Benefits include individualized instruction and increased efficiency, while challenges involve equity, privacy, and ethical use of AI. We discuss implications for pedagogy (e.g. data-driven teaching), curriculum design (incorporating AI literacy and AI-enabled tools), and teacher competencies (drawing on UNESCO’s five AI dimensions). Finally, we highlight the need for ongoing research and policy support to realize an AI-augmented future forteacher preparation. Keywords: Equity of access, Bias and Ethics, Teacher attitudes, technical limitations, Curriculum integration,Limitations andChallenges, AI pedagogy.