An AI based design of student performance prediction and evaluation system in college physical education

Author:

Yangsheng Zhang1

Affiliation:

1. NanJing XiaoZhuang University, Jiangsu Nanjing, China

Abstract

College physical education is too one-sided, which makes the teaching process evaluation meaningless. Based on this, based on neural network technology, this article combines artificial intelligence teaching system to build an artificial intelligence sports teaching evaluation model based on neural network. The artificial intelligence model starts from the process evaluation and the final evaluation. Moreover, it uses a recurrent neural network for data training and analysis, and introduces a new decoder to perform data processing, and introduces a simplified gated neural network internal structure diagram to build the internal structure of the model.In addition, this study designs a control experiment to evaluate the performance of the model constructed in this study. The research results show that the artificial intelligence model constructed in this paper has a good effect in the performance prediction and evaluation of college sports students.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Predicting Student Performance Using Artificial Neural Networks;Journal of Arts, Society, and Education Studies;2024-05-15

2. PHYSICAL EXERCISE AND EMOTIONAL MANAGEMENT COLLEGE STUDENTS;3C EMPRESA;2024

3. Dynamic Monitoring of Sports Behavior Algorithm of Online College Physical Education Student Behavior in Complex Background;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

4. A study on predicting students’ grades for ideological and political courses with decision tree generation rules;Journal of Computational Methods in Sciences and Engineering;2023-12-15

5. A B/S Architecture Based Evaluation System for College Student Employment Planning;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04

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