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Quantitative evaluation method of ideological and political teaching achievements based on collaborative filtering algorithm

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  • Hua Wang

Abstract

In order to overcome the problems of large error, low evaluation accuracy and long evaluation time in traditional evaluation methods of ideological and political education, this paper designs a quantitative evaluation method of ideological and political education achievements based on collaborative filtering algorithm. First, the evaluation index system is constructed to divide the teaching achievement evaluation index data in a small scale; then, the quantised dataset is determined and the quantised index weight is calculated; finally, the collaborative filtering algorithm is used to generate a set with high similarity, construct a target index recommendation list, construct a quantitative evaluation function and solve the function value to complete the quantitative evaluation of teaching achievements. The results show that the evaluation error of this method is only 1.75%, the accuracy can reach 98%, and the time consumption is only 2.0 s, which shows that this method can improve the quantitative evaluation effect.

Suggested Citation

  • Hua Wang, 2024. "Quantitative evaluation method of ideological and political teaching achievements based on collaborative filtering algorithm," International Journal of Information Technology and Management, Inderscience Enterprises Ltd, vol. 23(3/4), pages 330-344.
    • Handle: RePEc:ids:ijitma:v:23:y:2024:i:3/4:p:330-344
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