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Challenges and Limitations of Implementing AI in Schools
Abstract
This chapter critically examines the systemic challenges and limitations of implementing artificial intelligence (AI)—particularly cognitive tutors and adaptive learning technologies—in primary and secondary education. While AI is often lauded for its potential to personalize instruction, improve learning outcomes, and bridge educational gaps, its real-world integration remains constrained by technological, pedagogical, ethical, and institutional barriers. Based on international case examples and cross-disciplinary research, the chapter addresses the phenomenon of infrastructural inequality, the prejudice of the algorithm, dislocation of educators, privacy, and policy stagnation. It contends that the transformative possibility of AI in education is only achievable with responsible, context-sensitive implementation approaches that leave equity, transparency and human centrality on a legacy of paradigm-shifting academic innovation.
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