From Static Lessons to Smart Tutors: The AI-Driven 
Classroom

Yuanyuan Guo; Wenliu Cai

doi:10.70711/neet.v3i6.7094

From Static Lessons to Smart Tutors: The AI-Driven Classroom

Yuanyuan Guo, Wenliu Cai

Abstract

This paper explores AI-driven adaptive learning in online education. Despite the booming sector, most online courses lack personalization, causing disengagement and equity issues. The study details the technological foundations of adaptive learning, proposes a mixedmethods research methodology to validate its efficacy, and reveals its advantages like improved learning experiences and academic results.
However, challenges exist, including ethical risks and institutional adaptation. Future work focuses on multimodal interactions and edge AI.
Overall, with proper implementation, these systems can transform education by enhancing learning quality and reducing inequalities.

Keywords

AI-powered adaptive learning; Personalized education; Machine learning models; Educational technology

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References

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DOI: http://dx.doi.org/10.70711/neet.v3i6.7094

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