A Study on Online Learning Behaviors of the Private University Students Based on SPOC Mode—Take Zhejiang Yuexiu University as an Example

Open Journal of Modern Linguistics(2021)

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摘要
With the rapid development of MOOCs and SPOC in higher education under the wave of education informatization, research on online learners' behavior has received more and more attention from university researchers.However, there are just a few studies on online learning behaviors of students in private universities.Relying on Zhejiang Province's first-class undergraduate course (online and offline hybrid)-A Survey of Major English-speaking Countries, this paper conducted a study on the analysis of students' online learning behavior based on SPOC mode, by collecting data on the online learning behavior process of 224 junior students from Zhejiang Yuexiu College of Foreign Languages, including students' weekly login times to the platform, video viewing hours, total online learning hours, unit quiz scores, forum posting and final test scores.These data were statistically and analytically analyzed using SPSS.20, and correlation analysis was conducted using the Pierce correlation coefficient.The results show that students' participation in online learning is satisfactory, the teacher's ability to guide learning directly affects students' online learning logins, and students' learning performance is positively correlated with the number of course logins, video viewing hours, unit test scores and the number of forum posts, especially with unit test scores, but there is little student-student interaction in forum discussions.It can be seen that SPOC mode can organically combine traditional classroom with online classroom, especially visualize the characteristics of students' online learning behavior, help teaching administrators and teachers in private colleges and universities accurately grasp the learning status of learners, thus promoting them to provide strong support in the process of course reform, strengthen the ability and responsibility of information technology, integrate online and How to cite this paper:
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关键词
Student Performance Prediction,Online Learning,MOOCs,Student Performance,Student Engagement
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