Design of a Personalized Massive Open Online Course Platform

Junfu Xi, Yehua Chen, Gang Wang

Abstract


Focusing on the massive open online course (MOOC) platform, the purpose of this study is to realize personalized adaptive learning according to the needs and abilities of each learner. To this end, the author created a personalized adaptive learning behaviour analysis model, and designed a personalized MOOC platform based on the model. Through the analysis of learning behaviours on the MOOC platform, the model digs deep into the pattern of learning behaviours, and lays the basis for personalized intervention in the learning process. The comparison ex-periments show that our prediction method is more accurate than the other predic-tion algorithms. This research sheds new light on the design of learner-specific MOOC platform.

Keywords


massive open online course (MOOC); big data; personalized adaptive learning; learning analytics

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Copyright (c) 2018 Junfu Xi, Yehua Chen, Gang Wang


International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
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