The analysis and research of multi-sport cooperative learning based on association rule mining and mathematical statistics analysis

Abstract

Based on education, cognitive psychology and constructivism learning theory, this paper put forward multiple cooperative motion recognition strategy, and established the multi-sport cooperative learning model, namely, the cooperation from teachers to group experts, and then to multimedia, finally to learners. In order to verify the validity, we designed and implemented the questionnaire and teaching experiment, taking students from Inner Mongolia University of Science and Technology as the research object, and analyzed the experimental data by means of association rule mining technique and mathematical statistical analysis. Analysis results show that multiple collaborative learning methods can effectively enhance students learning interests of physical study and improve their physical skills, helping to cultivate the ability of cooperative learning among students. The association rules mining results show that teaching strategy has a very high correlation with the method, and using group cooperation synchronization classroom teaching can achieve the best teaching effect.