Abstract: Under the condition of "Internet +", online course platforms have become an important way for students to gain knowledge. However, online courses are also facing problems such as high dropout rates. In order to study the continuous learning behavior of college students in online courses, this paper constructs a research model from the perspective of platforms and users based on expectation confirmation theory. Data were collected through questionnaires. SPSS and Smart PLS were used for statistical analysis and hypothesis testing. The results show that the learning atmosphere, course quality, teaching quality, and self-control ability significantly affect the users' continuous learning behavior, and expectation confirmation affect students' continuous learning behavior through perceived usefulness. The research results have important significance for improving the continuous learning behavior of college students in online courses.