Journals Information
International Journal of Human Movement and Sports Sciences Vol. 13(1), pp. 74 - 82
DOI: 10.13189/saj.2025.130109
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Evaluating the Effectiveness of AI-Driven Applications in Enhancing the Physical Fitness of Tertiary Physical Education Students
Harlyn Mae S. Ompoc 1,2,*, Jerrwin C. Aguinaldo 3
1 Department of Physical Education, Mindanao State University-Iligan Institute of Technology, Philippines
2 College of Education and Liberal Arts, Adamson University, Philippines
3 Department of Physical Education, De La Salle University, Philippines
ABSTRACT
Artificial intelligence (AI) has proved its potential in various educational settings. However, its application in exercise-based learning remains unexplored. It is vital as some countries (e.g., the Philippines) have a high prevalence of physical inactivity, and most youth do not meet the recommended levels for maintaining health. Thus, this study investigates how incorporating AI-driven applications into tertiary physical education classes affects students' physical fitness performance. A non-randomized two-group design was utilized to compare pre- and post-test scores. Standardized tests measured cardiovascular endurance (CVE), upper body (UBS), core (CS), and lower body strength (LBS). An 8-week intervention with AI-driven exercise was implemented. Post-test scores showed that the AI-enhanced group (AG) performed significantly better than the traditional group (TG), with CVE at p<0.01 and UBS, CS, and LBS at 鈮� 0.001. The TG showed improvement only in CVE and LBS p鈮�0.01. Conversely, the AG showed significant improvements in CVE, UBS, and LBS (p < 0.001) and CS (p < 0.01). These mean that using AI-driven applications during exercise has a favourable effect on students' physical fitness. Further research is recommended to encompass a variety of populations and educational settings while addressing AI literacy and ethical concerns to maximize its potential in promoting lifelong physical activity participation for overall fitness improvement.
KEYWORDS
Artificial Intelligence, Cardiovascular Endurance, Mobile Applications, Muscular Strength, Physical Fitness, Tertiary Education
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Harlyn Mae S. Ompoc , Jerrwin C. Aguinaldo , "Evaluating the Effectiveness of AI-Driven Applications in Enhancing the Physical Fitness of Tertiary Physical Education Students," International Journal of Human Movement and Sports Sciences, Vol. 13, No. 1, pp. 74 - 82, 2025. DOI: 10.13189/saj.2025.130109.
(b). APA Format:
Harlyn Mae S. Ompoc , Jerrwin C. Aguinaldo (2025). Evaluating the Effectiveness of AI-Driven Applications in Enhancing the Physical Fitness of Tertiary Physical Education Students. International Journal of Human Movement and Sports Sciences, 13(1), 74 - 82. DOI: 10.13189/saj.2025.130109.