Learning Motivations and Learning Behaviors of Sports Majors Based on Big Data

Abstract

The subjective factors of sports majors play a critical role in the improvement of their cultural quality. Based on data mining, the valuable information about learning motivation and learning behavior can be obtained from the massive data. Therefore, this paper explores the learning motivations and learning behaviors of sports majors based on big data. Firstly, this paper analyzed the features of the learning behaviors of sports majors, and measured the complexity of their learning behaviors with information entropy, approximate entropy, and change-complexity function. Next, a dataset was established based on the students’ use of campus access network and online learning platforms. After that, a time domain convolutional capsule network model of multiple semantic features was established to recognize and classify the learning motivations of sports majors. The proposed model was proved effective through experiments.