Artificial Intelligence in Sports: The Impact of Smart Coaching Apps on Student Motivation and Exercise Adherence
Paper ID : 1180-SPORTCONGRESS
Authors
Fereshteh Sameie *
Department of Physical Education, Farhangian University, P.O. Box 14665-889, Tehran, Iran
Abstract
Introduction: AI-based coaching apps provide personalized feedback and training programs by analyzing performance and physiological data. However, evidence on their effects on motivation and adherence to endurance training among physical education students is limited. This study examined the impact of such apps on motivation and exercise adherence in second-year physical education students enrolled in a track and field course.
Methods: A mixed-methods design was used. Sixty students (32 males, 28 females; mean age = 21.3) used an AI coaching app for eight weeks. Motivation was measured with the Persian Sport Motivation Scale-II (SMS-II), and exercise adherence was assessed using a self-report scale evaluating students’ consistency and commitment to their training program. Quantitative data were analyzed using paired t-tests and ANCOVA. Twelve participants took part in semi-structured interviews, analyzed thematically.
Results: Use of the app significantly increased intrinsic motivation (t = 4.58, p < 0.001) and exercise adherence (F = 5.89, p = 0.018). Thematic analysis identified three key themes: “self-efficacy through immediate feedback,” “autonomy in training,” and “virtual social support.” Participants reported that intelligent feedback enhanced confidence and discipline in training.
Conclusion: AI coaching apps can effectively enhance motivation and adherence to endurance training by promoting self-efficacy, autonomy, and social interaction. Integrating such technology into physical education curricula may improve student participation and cardiovascular health.
Keywords
Sport motivation, exercise adherence, artificial intelligence, coaching app, track and field, physical education
Status: Abstract Accepted (Poster Presentation)