The Ethics of AI in Teacher Education: Challenges and Opportunities

Abstract: As artificial intelligence (AI) increasingly permeates the educational landscape, its implications for teacher education become critical. This paper explores the ethical challenges posed by AI, such as bias, data privacy, and job displacement, while also highlighting the opportunities it offers for personalized learning, enhanced assessment methods, and professional development. By examining case studies and providing recommendations, this research aims to contribute to a balanced understanding of AI’s role in shaping the future of teacher education. Ultimately, the paper calls for collaborative efforts among educators, policymakers, and technologists to harness the benefits of AI while safeguarding the integrity and equity of educational environments.

Keywords:  Artificial Intelligence, Teacher Education, Ethics, Bias, Data Privacy, Educational Technology, Personalized Learning, Policy Frameworks.


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