Data Mining and Analysis of College Student's Network Learning Behavior Factors

Abstract

This study intends to explore the influencing factors of online learning behavior of college students from the perspective of learners' perception. By modifying and expanding the expectation confirmation model (ECM), and drawing on the relevant scales to form a questionnaire suitable for this study, this paper attempts to build a research model on the influencing factors of college student's online learning willingness and satisfaction. Through the empirical study of college students, with the help of SPSS and Amos and other related software, this paper analyzes the collected effective samples in order to obtain the factor model and research conclusion that have certain explanatory power on the online learning behavior of college students.