Wang Caixia, Wei Xiaoyun, Yang Aiqian, Zhang Haiyan
College of Physical Education, Handan University, Hebei 056000, China.
College of Physical Education, Hengshui University, Hebei 056000, China.
Comput Intell Neurosci. 2022 Jul 19;2022:2745146. doi: 10.1155/2022/2745146. eCollection 2022.
Physical education is not only an important part of national education but also one of the important means to improve the physical quality of students and citizens. Therefore, the reform of physical education is of great significance to the development of physical education. With the application of data mining technology in the field of physical education, the scale of relevant data increases rapidly. The traditional data analysis methods cannot meet the needs of physical education data analysis. Traditional data analysis methods still have many basic problems to be solved. For example, the professionalism of the structural model and standardization of formal expression are dwarfed by the forefront of the world. There are few real valuable data in the database, and the referentiality is not guaranteed. Therefore, this study puts forward the construction and analysis of discrete system dynamic modeling of physical education teaching mode based on the decision tree algorithm. Through the decision tree algorithm, this study analyzes the data related to physical education and constructs the physical education decision tree system according to the analysis structure. The test results show that the primary influencing factor of physical education teaching is the number of students participating in sports competitions, and the secondary influencing factors are students' liking and teachers' skill level. In addition, teachers' adjustment of physical education teaching contents and methods according to the analysis results of decision tree is conducive to improving students' physical education performance.
体育教育不仅是国民教育的重要组成部分，也是提高学生和公民身体素质的重要手段之一。因此，体育教育改革对体育教育的发展具有重要意义。随着数据挖掘技术在体育教育领域的应用，相关数据规模迅速增长。传统的数据分析方法无法满足体育教育数据分析的需求。传统数据分析方法仍有许多基本问题有待解决。例如，结构模型的专业性和形式表达的规范性与世界前沿相比显得逊色。数据库中真正有价值的数据很少，参考性无法保证。因此，本研究提出基于决策树算法的体育教学模式离散系统动态建模构建与分析。通过决策树算法，本研究对体育相关数据进行分析，并根据分析结构构建体育决策树系统。测试结果表明，体育教学的主要影响因素是参加体育比赛的学生人数，次要影响因素是学生的喜好和教师的技能水平。此外，教师根据决策树分析结果调整体育教学内容和方法，有利于提高学生的体育成绩。
