Date
Publisher
arXiv
Over the past decade, higher education has evolved through three distinct
paradigms: the emergence of Massive Open Online Courses (MOOCs), the
integration of Smart Teaching technologies into classrooms, and the rise of
AI-enhanced learning. Each paradigm is intended to address specific challenges
in traditional education: MOOCs enable ubiquitous access to learning resources;
Smart Teaching supports real-time interaction with data-driven insights; and
generative AI offers personalized feedback and on-demand content generation.
However, these paradigms are often implemented in isolation due to their
disparate technological origins and policy-driven adoption. This paper examines
the origins, strengths, and limitations of each paradigm, and advocates a
unified pedagogical perspective that synthesizes their complementary
affordances. We propose a three-layer instructional framework that combines the
scalability of MOOCs, the responsiveness of Smart Teaching, and the adaptivity
of AI. To demonstrate its feasibility, we present a curriculum design for a
project-based course. The findings highlight the framework's potential to
enhance learner engagement, support instructors, and enable personalized yet
scalable learning.
What is the application?
Who age?
Study design
