Title: The educational quality evaluation method of college online teaching mode under the background of big data

Authors: Yang Yang; Zhencun Wang; Zhanlei Shang; Zhan Li; Irving Domingo L. Rio; Merle L. Junsay

Addresses: Center of Education Technology, Henan University of Economics and Law, Zhengzhou, 450046, China; School of Education, Henan University, Zhengzhou, 450046, China ' School of Education, Henan University, Zhengzhou, 450046, China ' Engineering Training Center, Zhengzhou University of Light Industry, Zhengzhou, 450001, China ' Henan Finance University Zhengzhou, 451464, China ' Central Philippine University, Iloilo City, 5000, Philippines ' Central Philippine University, Iloilo City, 5000, Philippines

Abstract: Evaluating the educational quality of online teaching mode is of great significance for improving teaching level. Therefore, this article designs an education quality evaluation method for online teaching mode in universities under the background of big data. Firstly, the online teaching mode in universities is analysed and an evaluation system is built. Secondly, clustering similarity is calculated based on attribute distance to complete the clustering division of education quality. Then, the association rule algorithm in big data technology is used to determine the impact of indicators on the evaluation results. Finally, construct an evaluation function, calculate the weight of the function using a consistent matrix, and solve the function to achieve education quality evaluation. The results show that the evaluation accuracy of the proposed method can reach 99%, and the evaluation time is less than 0.2 seconds, effectively improving the effectiveness of education quality evaluation.

Keywords: online teaching mode; attribute distance; consistent matrix; big data technology; association rule algorithm.

DOI: 10.1504/IJSD.2025.149413

International Journal of Sustainable Development, 2025 Vol.28 No.4, pp.458 - 474

Received: 18 Apr 2023
Accepted: 17 Oct 2023
Published online: 30 Oct 2025 *

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