Integration of Artificial Intelligence in Teacher Education: Practices, Prospects and Alignment with NEP 2020

Abstract

Artificial Intelligence (AI) has emerged as a transformative technology influencing teaching, learning, assessment, and research in higher education. Teacher education, which prepares future teachers for dynamic classroom environments, must adapt to these technological advancements. This paper examines the integration of AI in teacher education programmes such as Diploma in Teacher Education (D.T.Ed.), Bachelor of Education (B.Ed.), and Master of Education (M.Ed.). Using a conceptual and review-based approach, the study discusses the application of AI in teaching–learning processes, micro-teaching skills, lesson planning, lesson observation, internship, evaluation tools, community-related activities, research, and presentation skills. The paper also reviews relevant literature to understand current trends and challenges in AI integration. Further, it aligns AI integration in teacher education with the vision and recommendations of the National Education Policy (NEP) 2020. The study concludes that ethical and pedagogically sound use of AI can enhance professional competencies of student-teachers and contribute to the preparation of future-ready teachers.