Title: Online teaching data distribution method based on learning behaviour big data mining

Authors: Jing Chang

Addresses: Faculty of Culture and Tourism, Jiyuan Vocational and Technical College, Jiyuan, 459000, China

Abstract: To overcome the problems of low accuracy and recall of traditional online teaching data distribution methods, this paper proposes an online teaching data distribution method based on learning behaviour big data mining. Firstly, collect online teaching data and pre-process the distribution data; then, generate online teaching data distribution rules through triangular fuzzy clustering; finally, based on the learning behaviour big data mining method, the data is divided into fuzzy metrics, membership functions are established to update distribution rules, and big data mining is used to design data distribution schemes. The experimental results show that the distribution accuracy of our method can reach 99.89%, and the parameter recall rate can reach 97.89%. The actual results are in line with the expected results and have a good distribution effect.

Keywords: learning behaviour; big data mining; online teaching; data distribution.

DOI: 10.1504/IJBIDM.2025.143922

International Journal of Business Intelligence and Data Mining, 2025 Vol.26 No.1/2, pp.19 - 31

Received: 18 Dec 2023
Accepted: 03 May 2024
Published online: 14 Jan 2025 *

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