Exploring Intelligent Feedback Systems for Student Engagement in Digitized Physical Education Learning through Machine Learning

Purposes: Through machine learning analysis of objective data from digital physical education learning (DPEL) platforms, explore the relationship and degree of correlation between student engagement and performance assessment, and predict final grades. Utilize grounded theory analysis to investigate the reasons, phenomena, and experiences of students participating in DPEL. The goal is to understand and clarify the factors influencing student engagement in DPEL, forming a theoretical framework and action guidelines. Develop an intelligent learning and feedback system for students participating in DPEL based on artificial intelligence. Utilize a comprehensive understanding of student engagement to create a more sophisticated and accurate intelligent learning and assessment mechanism.