AI IN THE CLASSROOM: BENEFITS, CHALLENGES, AND THE PATH TO INTEGRATION

Abstract

Artificial Intelligence (AI) is quickly changing the face of education by providing new ways to improve student learning, expedite the process of administration, and customize instruction. The existing body of research on AI applications in classrooms is examined in this literature review, which emphasizes important advantages such predictive analytics, real-time feedback systems, and adaptive learning technologies. It also looks at important issues like the digital gap, teacher preparedness, algorithmic prejudice, and data privacy. The study highlights best practices and suggests a framework for the moral and successful integration of AI in education by reviewing recent research, regulations, and implementation techniques. The skills, perspectives, and expertise of teachers greatly influence the learning of their students. An essential modern idea, artificial intelligence (AI) has the potential to revolutionize educational systems around the world by providing educators and students with powerful tools that go hand in hand with many existing evaluation methodologies. However, the teachers often ignore its many benefits and see it as merely a thread. Thus, examining how educators view artificial intelligence's function in higher education is the goal of the research that is being presented. Teachers' views continue to be divided, with some supporting stringent constraints, others supporting only limited or minimal use in the classroom, and yet others calling for complete integration of AI. The results imply that although AI has revolutionary potential, its effective application requires inclusive design, open policymaking, and continuous professional development for educators. For educators, engineers, and legislators looking to use AI in the classroom in a responsible and equitable manner, this poll is a vital resource