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View all- Intelligence and Neuroscience C(2023)RetractedComputational Intelligence and Neuroscience10.1155/2023/98586922023Online publication date: 1-Jan-2023
Evaluation Model of Physical Education Teaching Effect Based on AHP Algorithm
Authors: 
Ziyi Guo, ByoungKwon Park, Xiaobin Huang, SeongBeom Choi Academic Editor: Arpit BhardwajAuthors Info & Claims
Abstract
The multifaceted sources of physical education teaching factors and the uncertainty of evaluation have an impact on the qualitative and quantitative evaluation results of teaching effects. In order to improve the evaluation accuracy of the physical education teaching effect, the evaluation model of the physical education teaching effect was designed based on the AHP algorithm. The evaluation model is based on monitoring the whole process of teaching. Based on the multifaceted sources of physical education teaching factors and the uncertainty of evaluation, the overall objectives and selects three-level evaluation indicators were analyzed. The AHP algorithm was used to establish the hierarchical structure and obtained the total ranking and comprehensive score of the hierarchy. The test results show that the teaching evaluation model designed in this paper has an RMSE mean value of 1.923, which has higher evaluation accuracy and is conducive to the improvement of teaching quality.
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Copyright © 2023 Ziyi Guo et al.
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Published: 01 January 2023
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View all- Intelligence and Neuroscience C(2023)RetractedComputational Intelligence and Neuroscience10.1155/2023/98586922023Online publication date: 1-Jan-2023
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