Research on the model of martial arts classroom ideological practice for college students based on time-series data analysis

Abstract

Abstract This study employs multidimensional time-series data analysis to explore college students’ learning behaviors in martial arts civics classes. By analyzing learner interactions in three categories and time-series data from educational videos, we assess student engagement in mastery of knowledge and quantify learning outcomes for a detailed and accurate evaluation of their learning status. Our team has crafted a targeted learning path network that enhances offline teaching approaches by leveraging insights from online learning trends and in-class performance in martial arts civics education. The results show that the most popular and highest-rated course is Military Poetry (4.7 points) based on the analysis of recall data, and more elements of military poetry should be included in the design of teaching content. Student A64 had the lowest online note quality rating of 0.02, which can be hypothesized to indicate that the student’s attitude was not active enough. Online and offline Mixed Martial Arts classroom Civics education had a mean score of 46.856, with a p-value of 0, and there was a significant difference between traditional offline education and online mixed martial arts classroom Civics education. Most of the students’ personal patriotism, professional knowledge, and abilities were significantly enhanced after participating in online and offline mixed martial arts classroom Civic and Political Education.