Author: Sankar Prasad Maiti & Soma Jana (Maiti)
DOI Link: https://doi.org/10.70798/PP/020400002
Abstract: The rapid advancement of Artificial Intelligence (AI) has brought about profound transformations across multiple sectors, with education emerging as one of the most significantly impacted domains. Teacher education, which forms the foundation of educational quality and learner success, is undergoing a paradigm shift due to the integration of AI-driven technologies. Traditional models of teacher preparation—largely focused on content mastery, pedagogical techniques, and classroom management—are increasingly inadequate in addressing the complexities of digital, data-driven, and learnercentered educational environments. This research article critically examines the role of Artificial Intelligence in teacher education, exploring its theoretical foundations, current applications, pedagogical implications, ethical challenges, and future prospects. Drawing upon contemporary educational theories, policy frameworks, and global practices, the study highlights how AI can enhance teacher training through personalized learning, intelligent assessment, data-informed decisionmaking, and continuous professional development. At the same time, it underscores the need for ethical safeguards, human-centered pedagogy, and equitable access to ensure that AI serves as a tool for empowerment rather than replacement. The article concludes by proposing a future-oriented framework for AI-integrated teacher education that aligns technological innovation with democratic values, inclusivity, and professional autonomy.
Keywords: Artificial Intelligence, Teacher Education, Educational Technology, Professional Development, Future of Teaching
Page No: 8-13