Factors Affecting the Quality of Online Open Course Teaching in Universities Based on Big Data Analysis

Authors

  • Genchao Wei School of Economics and Management, Jiyuan Vocational and Technical College, Jiyuan 459000, Henan, China

Abstract

By means of big data analysis, this study systematically explores and discusses the factors affecting the educational quality of college open online courses (MOOCs). The research on the MOOC platform data of A University in Chengdu, China, reveals the significant impact of teaching content, teacher quality, student engagement and platform technology on the quality of teaching and, subsequently, on students’ learning outcomes. Results show that course content had the greatest influence on educational quality (regression coefficient 0.35, p = 0.000), followed by teacher quality (regression coefficient 0.30, p = 0.000), student engagement (regression coefficient 0.25, p = 0.006) and platform technology (regression coefficient 0.20, p = 0.001). The research shows that optimizing curriculum design, improving teachers’ professional level, strengthening students’ motivation to learn, and improving platform technology are key to improving the delivery of education via MOOCs. This study provides data support and a
scientific basis for improving the quality of online education, which has important theoretical and practical significance, and can provide references for education administrators and curriculum designers who wish to devise more effective teaching strategies and policies.

Keywords: online open course; influencing factors; big data analysis; colleges and universities

Cite As

G. Wei, "Factors Affecting the Quality of Online Open Course Teaching in Universities Based on
Big Data Analysis", Engineering Intelligent Systems, vol. 32 no. 6, pp. 659-669, 2024.




Downloads

Published

2025-01-26

Issue

Vol. 32 No. 6 (2024): International Journal of Engineering Intelligent Systems

Section

Article

License

The submission of a paper implies that, if accepted for publication, it will not be published elsewhere in the same form, in any language, without the prior consent of the publisher. Before publication, authors are requested to assign copyright to CRL Publishing Ltd. This allows CRL to sanction photocopying, and to authorize the reprinting of issues or volumes according to demand. Authors' traditional rights will not be jeopardized by assigning Copyright in this way, as they retain the right to reuse the material following publication, and to veto third-party publication.