Research on effectiveness model of online learning for college students in big data era Online publication date: Tue, 20-Dec-2022
by Xiaojun Zhang; Xiaoji Yang
International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), Vol. 33, No. 1, 2023
Abstract: In order to enhance the effectiveness of online learning of college students in the era of big data, this paper puts forward the research on the effectiveness model of online learning of college students. This paper establishes a fusion clustering model for the evaluation of online learning effect, and uses fuzzy fusion grouping method to analyse the panel data of online learning effect evaluation of college students combined with big data mining method, and analyses the characteristics of online learning behaviour of college students and mining association rules. Linear programming model is used to optimise the scheduling of online learning resources for college students. The experimental results show that the design method has high accuracy and reliability in predicting the online learning effect of college students in the era of big data, and improves the convergence and optimisation ability of learning process.
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