Optimization of MOOC Based on Learning Community
XU Xiao-li
Abstract
XU Xiao-li
Abstract
With the rapid development of MOOC (Massive Open Online Course) since 2012, it has been a common view that MOOC’s sustainable development must rely on learning needs and good learning experience of learners. MOOC online teaching model is analyzed from the teaching side and the learning side, the mismatch between the two sides is sorted out. Based on the bibliographic method, the core idea of learning community theory is that learning is the process of knowledge meaning constructing through learners’ interaction and consultation, which is applied to MOOC, four strategies are proposed to optimize MOOC online teaching model. Learners can get good and persistent learning experience on in the condition of reaching match and balance of different kinds of subjects in MOOC learning.
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With the rapid development of MOOC (Massive Open Online Course) since 2012, it has been a common view that MOOC’s sustainable development must rely on learning needs and good learning experience of learners. MOOC online teaching model is analyzed from the teaching side and the learning side, the mismatch between the two sides is sorted out. Based on the bibliographic method, the core idea of learning community theory is that learning is the process of knowledge meaning constructing through learners’ interaction and consultation, which is applied to MOOC, four strategies are proposed to optimize MOOC online teaching model. Learners can get good and persistent learning experience on in the condition of reaching match and balance of different kinds of subjects in MOOC learning.
Key concepts: Massive open online course, Computer science, Process (computing), Meaning (existential), Online learning, Core (optical fiber), Multimedia, Mathematics education