A practical study of a gamified motivational curriculum for physical education based on optimal interactive artificial intelligence

With the rise of nationwide sports, my country's online sports education industry has developed rapidly.However, the overabundance of courses can easily lead to user fatigue.To provide personalised, precise course services and enhance application practicality, this study combines user body and movement information with personality dynamics (PD) theory to construct an improved user model.Furthermore, an intelligent partner matching system based on convolutional neural networks was designed, and a fuzzy hierarchical evaluation index system was established.The experimental results showed that the matching accuracy, recall rate, and F1 of the intelligent schoolmate matching model IUM-SR designed in this study were 95.31%, 95.24%, and 94.17%, significantly higher than the comparison matching algorithms.Experiments verified the effectiveness of this system and index system using backend data from a mobile sports education application.