Title: An online multimedia teaching quality evaluation method based on association rule mining

Authors: Meng Qu

Addresses: Qingdao Vocational and Technical College of Hotel Management, Qingdao 266100, China

Abstract: In order to improve the accuracy and efficiency of online teaching quality evaluation, this paper proposes a new online multimedia teaching quality evaluation method based on association rule mining. Firstly, the association rule mining method is used to collect online multimedia teaching data, which is used as the sample data of teaching quality evaluation. Secondly, it comprehensively analyses the process and influencing factors of online multimedia teaching, and constructs the evaluation index system of online multimedia teaching quality. Finally, the analytic hierarchy process is used to calculate the weight and maximum characteristic root of the evaluation index, and the comprehensive scoring function of online multimedia teaching quality is constructed. The output score corresponds to different evaluation grades. The experimental results show that compared with the traditional evaluation methods, this method has higher evaluation accuracy and lower evaluation time, and the highest evaluation accuracy is close to 98%.

Keywords: association rule mining; online multimedia teaching; teaching quality evaluation; comprehensive scoring function.

DOI: 10.1504/IJCEELL.2024.139943

International Journal of Continuing Engineering Education and Life-Long Learning, 2024 Vol.34 No.4, pp.405 - 415

Received: 27 May 2022
Accepted: 30 Aug 2022
Published online: 12 Jul 2024 *

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