Research on Key Attributes of Learning Behavior Based on Rough Set

Abstract

MOOC becomes a common learning method in colleges and universities. Data analysis through MOOC recorded data to find key attributes that affect learner performance, this is one of the current research directions of educational big data. In this paper, using the record data of 500 learners on the MOOC platform, the rough set attribute reduction algorithm is used to mine the key attributes affecting the learner’s performance, finally get six key attributes. Describes the links between the sixkey attributes and achievements. Through the analysis and research of learning behavior data, this paper puts forward suggestions for improving the quality of MOOC learning, and provides reference for the development of MOOC.