This paper constructs a scientific and reasonable MOEIS (Multi-object evaluation index system) for sport education and teaching, and analyzes the construction level of practice base in combination with empirical research. In this study, Ridit analysis method is used to screen the evaluation indexes, which objectively ensures the scientificity and rationality of the existing problems and promotion strategies of the index system for the practice base construction. Communication between sites is realized through serialization, global FP-tree is constructed, and global FP-tree is mined to form rules. The results show that the accuracy of the algorithm is increasing, and it tends to be stable after the number of iterations increases to 450, and the final average accuracy reaches 96.52%. The designed algorithm is used to integrate and analyze the data, so as to achieve the evaluation goal of teaching quality. A well-defined evaluation index can help educators identify areas where students excel or need improvement.  This targeted approach can lead to more effective teaching strategies, ultimately enhancing students' overall learning outcomes and engagement in physical activities.