Construction and Application of Physical Education Classroom Teaching Model Integrating MOOC and Flipped Classroom

Main Article Content

Zheng Zhang

Abstract

In terms of sports itself, mastering certain skills is a reliable way to avoid injury and futile training, and the teaching process needs to focus on imparting skills. Therefore, in order to optimize the teaching mode of physical education courses, this study explores the current improvement achievements and draws on the advancement of curriculum reform. The study proposes a recommendation method based on knowledge points and student characteristics by studying the characteristics and importance of sports techniques, in order to achieve high-quality customized content recommendations. Through validation experiments, the effectiveness of this recommendation method and optimization path is demonstrated. This study adopts an empirical research design to explore the impact of recommendation methods based on knowledge points and student characteristics on the teaching effectiveness of physical education courses. The effectiveness of this recommendation method is evaluated by collecting and analyzing students' learning data. Statistical analysis methods are used to analyze experimental data, including calculating the percentage of improvement in students' technical movements under different teaching modes. The research results indicated that recommendation methods based on knowledge points and student characteristics were of great significance for optimizing the teaching mode of physical education courses. The improvement of subjects' technical movements such as hitting and swinging in the new teaching mode was significantly better than that in the traditional teaching mode, with an increase of 10-20 technical movements per unit time, with a growth rate of over 20%. Compared with traditional teaching models, this teaching model has been subjectively recognized by students and has positive reference significance for the current physical education teaching model.

Article Details

Section
Special Issue - Scalable Computing in Online and Blended Learning Environments: Challenges and Solutions