Intelligent Monitoring of Basketball Teaching Action Optimization considering Heterogeneous Grouping Algorithm

With the continuous development of social economy, sports have become an important part of people’s daily life, especially ball sports are becoming more and more popular. However, in physical education, the standardization and rationality of teaching actions are extremely important. In view of these needs and limitations, a heterogeneous grouping algorithm is introduced in this paper, taking basketball teaching as the entry point, the situation of heterogeneous grouping teaching and learning are analyzed under different teaching organization through combing the business flow of basketball teaching, and the modified factor algorithm is used to conduct a process evaluation of basketball teaching. The simulation experiment results show that the heterogeneous grouping algorithm is effective, can support the intelligent monitoring of basketball teaching action optimization, and promote the improvement of basketball teaching effect, and students can get more room and level for improvement.

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