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

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.

• →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.