An Automatic Optimal Course Recommendation Method for Online Math Education Platforms Based on Bayesian Model

Authors

  • Yongyan Fan College of Mathematics and Statistics, Cangzhou Normal University, Cangzhou 061001, China
  • Jing Zhang College of Mathematics and Statistics, Cangzhou Normal University, Cangzhou 061001, China
  • Dingli Zu Department of Mathematics and Physics, Chengde Petroleum College, Chengde 067000, China
  • Hongyu Zhang Department of Mathematics and Physics, Chengde Petroleum College, Chengde 067000, China

DOI:

https://doi.org/10.3991/ijet.v16i13.24039

Abstract


Online education platforms inject new vitality into the field of education, and greatly improves the accessibility to high-quality education resources. However, the current online education platforms do not support independent course selection based on personal preferences. To solve this problem, this paper designs an automatic recommendation method of optimal courses for online math education platforms based on Bayesian model. The results show that the Bayesian model can simulate the causal relationship between real-world affairs by building a graphic model based on the graph theory and the probability theory; the model can effectively merge priori and posteriori information, and encode the causality between knowledge points; the model clearly outshines user-based collaborative filtering model, term-based collaborative filtering model, and SlopeOne model, and achieves a stable accuracy rate in automatic recommendation of courses. The research provides an empirical evidence to the improvement and innovation of professional online math course platforms.

Author Biographies

Yongyan Fan, College of Mathematics and Statistics, Cangzhou Normal University, Cangzhou 061001, China

Yongyan Fan, Graduated from Hebei University in 2009. Worked in Cangzhou Normal University. Her research interests include differential equations and boundary value problems. dttongcz@163.com

Jing Zhang, College of Mathematics and Statistics, Cangzhou Normal University, Cangzhou 061001, China

Jing Zhang, Graduated from Hebei University of Technology in 2011. Worked in Cangzhou Normal University. Her research interests include operations research and cybernetics. z770477@126.com.

Dingli Zu, Department of Mathematics and Physics, Chengde Petroleum College, Chengde 067000, China

Dingli Zu is an associate professor working on applied mathematics in the department of mathematics and physics in Chengde Petroleum College, China,His research interests include ordinary differential equation,partial differential equation and mathematics teaching. zzzjjj4104@163.com

Hongyu Zhang, Department of Mathematics and Physics, Chengde Petroleum College, Chengde 067000, China

Hongyu Zhang, Graduated from Chengdu University of information Engineering in 2003.Worked in Chengde petroleum college. His research focus on the teaching of mathematics and mathematical modeling. z1234561979@126.com.

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Published

2021-07-13

How to Cite

Fan, Y., Zhang, J., Zu, D., & Zhang, H. (2021). An Automatic Optimal Course Recommendation Method for Online Math Education Platforms Based on Bayesian Model. International Journal of Emerging Technologies in Learning (iJET), 16(13), pp. 95–107. https://doi.org/10.3991/ijet.v16i13.24039

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Papers