FANG TAN data

This dataset comes from a three-wave longitudinal study examining how physical activity self-efficacy influences the continuance use of AI learning tools among physical education students in China. Grounded in the Technology Acceptance Model (TAM), the study investigates the roles of perceived ease of use (PEOU), perceived usefulness (PU), attitude toward use (ATU), behavioral intention to use (BIU), and continuance use behavior (CUB). Data were collected at three time points in 2025: T1 measured physical activity self-efficacy (PASE), T2 measured PEOU, PU, ATU, and BIU, and T3 measured CUB. The final dataset includes 511 successfully matched responses from physical education students aged 18 years and above. Structural equation modeling (SEM) and bootstrap analysis (5,000 resamples) were used to test multiple serial mediation pathways within the TAM framework.