Abstract Artificial Intelligence (AI) is fundamentally restructuring the educational landscape by transitioning from traditional, one-size-fits-all models to personalized, adaptive learning environments. Current research identifies four primary application categories: adaptive learning and personalized tutoring, intelligent assessment and management, profiling and prediction for identifying at-risk students, and emergent products like educational robots. While AI offers immense potential to enhance educational quality and global access, its successful implementation depends on a balanced approach that combines technological efficiency with the indispensable human empathy and guidance of professional educators.
Parkale et al. (Sat,) studied this question.
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