ANALYZING THE CHALLENGES OF INTEGRATING AI AND ROBOTICS IN THE EDUCATIONAL SECTOR

The convergence of Artificial Intelligence (AI) and robotics is reshaping virtually every sector of contemporary society, and education is no exception. Intelligent tutoring systems, adaptive learning platforms, programmable educational robots, and AI-driven assessment tools are increasingly present in classrooms at every level from primary school to postgraduate education. Yet, despite the substantial investment and enthusiasm surrounding these technologies, their effective, equitable, and sustainable integration into mainstream educational practice remains elusive. This paper presents a comprehensive, multi-dimensional analysis of the challenges that impede the integration of AI and robotics in the educational sector. Drawing on a systematic review of peer-reviewed literature, international policy reports, and global case studies, the study identifies and examines six primary challenge domains: technological and infrastructure barriers, pedagogical integration difficulties, teacher-related obstacles, ethical and data privacy concerns, equity and access disparities, and policy and governance gaps. The analysis reveals that these challenges are deeply interconnected and that progress in any one domain is contingent on progress in the others. The paper presents comparative data through structured tables, examines regional variations in challenge severity, and concludes with actionable recommendations for educators, institutions, policymakers, and technology developers. The study argues that realising the transformative potential of AI and robotics in education demands not merely technological investment but a coordinated, systems-level commitment to pedagogical relevance, equity, ethical responsibility, and policy coherence.