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

Issue title: Impact of Intelligence Methodologies on Education and Training Process

Guest editors: Vijayalakshmi Saravanan

Article type: Research Article

Authors: Yangsheng, Zhang^{; *}

Affiliations: NanJing XiaoZhuang University, Jiangsu Nanjing, China

Correspondence: [*] Corresponding author. Zhang Yangsheng. E-mail: zhangyangsheng@yandex.com.

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.

Keywords: Artificial intelligence, physical education, performance prediction, evaluation system

DOI: 10.3233/JIFS-189367

Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3271-3279, 2021