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

Authors: Hua Wang

Addresses: School of Marxism Studies, Xi'an International Studies University, Xi'an, 710128, China

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.

Keywords: collaborative filtering; ideological and political education; quantitative analysis; Jaccard coefficient; neighbour set.

DOI: 10.1504/IJITM.2024.139573

International Journal of Information Technology and Management, 2024 Vol.23 No.3/4, pp.330 - 344

Received: 30 Dec 2022
Accepted: 27 Feb 2023
Published online: 04 Jul 2024 *

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