Abstract
In order to improve the teaching effect and improve the accuracy of the evaluation method of the reform effect, this paper introduces particle swarm optimization algorithm to realize the effect analysis of the ideological and political teaching reform. First, define the evaluation data file, build a reasonable reform evaluation system, obtain the relevant characteristics of user interests, mine user preferences, design the reform evaluation extraction function, determine the evaluation content according to the system, and complete the reform effect evaluation using particle swarm optimization algorithm. The experimental results verify the accuracy and reliability of this method in the reform evaluation process, which is of great significance.
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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Shao, L., Zang, P. (2022). Research on Effect Evaluation Method of Ideological and Political Classroom Teaching Reform in Colleges and Universities Based on Particle Swarm Optimization Algorithm. In: Fu, W., Sun, G. (eds) e-Learning, e-Education, and Online Training. eLEOT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 454. Springer, Cham. https://doi.org/10.1007/978-3-031-21164-5_45
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DOI: https://doi.org/10.1007/978-3-031-21164-5_45
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