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Bridging MOOCs, Smart Teaching, and AI: A Decade of Evolution Toward a Unified Pedagogy

arXiv – CS AI|Bo Yuan, Jiazi Hu|March 9, 2026 at 04:00 AM

🤖AI Summary

Researchers propose a unified instructional framework that integrates MOOCs, Smart Teaching, and AI-enhanced learning to address limitations of isolated adoption in higher education. The framework organizes these technologies into three complementary dimensions: structured exposure, adaptive allocation, and efficiency amplification to maximize pedagogical effectiveness.

Key Takeaways

→MOOCs, Smart Teaching, and AI-enhanced learning are often adopted in isolation, limiting their systemic educational potential.
→The proposed unified framework categorizes educational technologies into structured exposure (MOOCs), adaptive allocation (Smart Teaching), and efficiency amplification (AI).
→A layered knowledge transformation model operationalizes the integration of these three educational paradigms.
→Each layer contributes measurable and functionally distinct gains in knowledge mastery according to the research.
→The framework addresses specific limitations of traditional education through complementary technological approaches.

#ai-education #moocs #smart-teaching #educational-technology #higher-education #pedagogy #learning-frameworks #academic-research

Read Original →via arXiv – CS AI

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