Research on Intelligent Integration of Civic and Political Elements in Physical Education Teaching and Personalized Learning Paths Supported by Educational Big Data

Abstract

This paper focuses on the background of intelligent integration of Civics elements in sports teaching under the support of big data, constructs a knowledge map of sports professional course teaching that integrates Civics elements, builds a database of Civics instances with the goal of course Civics nurturing, and proposes a knowledge tracking method based on the Transformer on the basis of which comparative experiments are carried out in four public datasets. The ant colony algorithm is used to recommend the optimal learning path for sports-oriented learners, and the personalized recommendation for sports-oriented learners is designed and implemented, and the experimental group is selected to verify the applicability and accuracy of the recommendation method. The results show that the knowledge tracking method based on Transformer can better reflect the learners' mastery of knowledge points and can effectively improve the accuracy of the knowledge tracking task. Finally, through the learning path recommendation, the F1 values of the recommended paths are all above 0.6, which verifies the effectiveness, accuracy and adaptability of the algorithm.