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As artificial intelligence (AI) technologies advance, their potential to transform education is promising. From personalized learning to intelligent tutoring systems, AI offers tools that enhance student engagement and streamline administrative tasks. However, implementing AI in the classroom comes with challenges. Educators, administrators, and policymakers must navigate barriers, including limited technical infrastructure, data privacy concerns, lack of teacher training, and equity access across schools. Understanding and addressing these obstacles ensures that AI enhances educational equity rather than increasing existing divides. Further exploration may reveal key challenges and identify strategies for integrating AI into classroom practice. Navigating Barriers to AI Implementation in the Classroom investigates the ways in which AI alters education by streamlining administrative tasks, introducing new individualized learning opportunities, and transforming instructional strategies. It examines the capabilities of AI in education, including intelligent instruction, automated assessments, data-driven insights, adaptive learning systems, and ethical issues related to its employment in classrooms. This book covers topics such as classroom management, policymaking, and student engagement, and is a useful resource for educators, computer engineers, policymakers, academicians, researchers, and scientists.
