An Application of Big Data Learning Analysis Based on MOOC Platform

Abstract

The era of taking data as king is coming. How to relate big data to education reform and from whichapplication of study analysis derived, have gradually become hot research topics. This article took teacher educationMOOC training platform as example, selected one of these online courses, and employed the methodsof conventional excavating, frequency statistics, jump aggregation, data visualization to excavate the data of students'learning behavior and studying log in a progressive way. According to students' learning behavior data in this platform, therelevance and adaptability of the students with the course were demonstrated, the module learning rules and learningpreferences of students were explored, the module function and course resource defects of this platform were located, theadaptive teaching resources were optimized, personalized learning path was customized, personal development was cultivated. These initiatives will greatly enhance the students' experience and satisfaction to this platform.