Research Trends and Development Directions of University General Physical Education Using Text Mining

This study examines the research trends in university general physical education from 2010 to 2024 through text mining analysis and provides foundational data for exploring the development directions of general physical education. Data collection was conducted from KCI and RISS, and after excluding papers unrelated to this study, a total of 579 papers were analyzed. Data analysis was conducted using frequency, TF-IDF, LDA, and LDAvis. The results of the study are as follows. First, the core keywords of general physical education research appeared in the following order: general physical education, participation, university, university students, class, class satisfaction, professor, motivation, exercise continuation, perception and self-efficacy, satisfaction, fun factors, female students, experience, psychological, sports, health, leisure satisfaction, and achievement orientation. Second, the TF-IDF words overlapped with the core keywords, but there were differences in the order of importance. Third, the LDA topic modeling analysis derived six topics, and through each topic, activation plans for general physical education were suggested.