A comprehensive evaluation method of Chinese online teaching effect based on cluster analysis

Yuanyuan Zhang

International Journal of Information Technology and Management, 2026, vol. 25, issue 1, 15-29

Abstract: In order to improve the accuracy of evaluation results, a comprehensive evaluation method for the effectiveness of Chinese online teaching based on cluster analysis is proposed. Firstly, the AHP is used to select evaluation indicators, and the weighted average method is applied to quantify the evaluation indicators. Secondly, the K-means algorithm is used to comprehensively evaluate the teaching effectiveness, calculate the average value of all sample points within each cluster to locate the cluster centre, and iteratively update the centre position. Finally, repeat the calculation of the distance from each point to the nearest cluster centre, select new cluster centres, ensure that the distance between the initial cluster centres is as far as possible, and use the optimised K-means algorithm to achieve teaching effectiveness evaluation. The experimental results show that the proposed method has a low mean square error, indicating that its evaluation results are relatively accurate.

Keywords: cluster analysis; online teaching; effect evaluation; k-means algorithm. (search for similar items in EconPapers)
Date: 2026
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