AI-guided mobile health integrated with physical education improves physical activity and psychophysiological outcomes in university students: a randomized controlled trial protocol
- 1College of Physical Education, Sichuan University of Science and Engineering, Zigong, China
- 2Faculty of Physical Culture, Gdansk University of Physical Education and Sport, Gdansk, Poland
Abstract
Background: Physical inactivity among university students represents a growing global health concern, contributing to the onset of non-communicable diseases and poor physical fitness. Despite advances in mobile health (mHealth) technologies, few interventions have been effectively integrated into formal physical education curricula. The Dreamer® application was developed to address this gap by combining artificial intelligence (AI)-guided personalization with teacher-supported engagement.
Methods: This randomized controlled trial aims to assess the effectiveness of Dreamer® in improving physical activity levels, health-related fitness, and psychological well-being among university students. A total of 128 participants will be randomly allocated to either an intervention group using Dreamer® integrated into PE instruction or a control group receiving standard PE. Assessments occur at baseline, 16 weeks, 32 weeks, and 3-month follow-up. Outcomes include physical activity, physical fitness, psychological health, and app usability.
Discussion: This study will be among the first to evaluate an AI-supported, teacher-supervised mHealth intervention embedded in a university PE curriculum. The findings will inform the design of scalable digital health strategies that bridge technology and pedagogy in higher education.
Clinical Trial Registration: https://www.chictr.org.cn/showproj.html?proj=284314, identifier ChiCTR2600133726.
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BibTeX
@article{yu2026aiguided,
title = {{AI-guided mobile health integrated with physical education improves physical activity and psychophysiological outcomes in university students: a randomized controlled trial protocol}},
author = {Hongli Yu and Gang Xu and Xia Li and Guangwen Song and Mingmao Li and Guoping Qian and Zbigniew Ossowski and Anna Szumilewicz},
journal = {Frontiers in Digital Health},
year = {2026},
month = oct,
doi = {10.3389/fdgth.2026.1862894},
url = {https://doi.org/10.3389/fdgth.2026.1862894},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - AI-guided mobile health integrated with physical education improves physical activity and psychophysiological outcomes in university students: a randomized controlled trial protocol
AU - Hongli Yu
AU - Gang Xu
AU - Xia Li
AU - Guangwen Song
AU - Mingmao Li
AU - Guoping Qian
AU - Zbigniew Ossowski
AU - Anna Szumilewicz
PY - 2026
DA - 2026/10/21
JO - Frontiers in Digital Health
DO - 10.3389/fdgth.2026.1862894
UR - https://doi.org/10.3389/fdgth.2026.1862894
AB - Background: Physical inactivity among university students represents a growing global health concern, contributing to the onset of non-communicable diseases and poor physical fitness. Despite advances in mobile health (mHealth) technologies, few interventions have been effectively integrated into formal physical education curricula. The Dreamer® application was developed to address this gap by combining artificial intelligence (AI)-guided personalization with teacher-supported engagement. Methods: This randomized controlled trial aims to assess the effectiveness of Dreamer® in improving physical activity levels, health-related fitness, and psychological well-being among university students. A total of 128 participants will be randomly allocated to either an intervention group using Dreamer® integrated into PE instruction or a control group receiving standard PE. Assessments occur at baseline, 16 weeks, 32 weeks, and 3-month follow-up. Outcomes include physical activity, physical fitness, psychological health, and app usability. Discussion: This study will be among the first to evaluate an AI-supported, teacher-supervised mHealth intervention embedded in a university PE curriculum. The findings will inform the design of scalable digital health strategies that bridge technology and pedagogy in higher education. Clinical Trial Registration: https://www.chictr.org.cn/showproj.html?proj=284314, identifier ChiCTR2600133726.
SN - 2673-253X
ER -