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The Research on Online Learning Behavior based on Multi-source in University Courses

Authors :
Jing Chi
Yong Wang
Bo Zhao
Source :
2021 IEEE 3rd International Conference on Computer Science and Educational Informatization (CSEI).
Publication Year :
2021
Publisher :
IEEE, 2021.

Abstract

There is a growing interest in blended learning models that combine online learning with traditional classroom teaching. Besides, the Computer Basic course is an essential course in the learning process of college students. However, the current situation is that the course content is heavy and few learning hours. Therefore, the blended learning is used for the course, and online learning is part of blended learning. In order to know the effectiveness of online learning, we analyzed the learning behavior on the Superstar online platform of a university in Yunnan. This paper uses descriptive statistics and correlation analysis method to analyze the relationship between online learning and the final exam score. It finds that online learning behavior has a no significant impact on the final exam score. Thus, we need to use more effective blended learning approach to improve the quality of online and offline learning and to promote personalized learning and interaction among learners.

Details

Database :
OpenAIRE
Journal :
2021 IEEE 3rd International Conference on Computer Science and Educational Informatization (CSEI)
Accession number :
edsair.doi...........99f7f1ba4d11467a7afbf28b622ca339