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ERIC Number: EJ1477787
Record Type: Journal
Publication Date: 2025-Jun
Pages: 22
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1042-1629
EISSN: EISSN-1556-6501
Available Date: 2025-05-05
Artificial Intelligence-Supported Physical Education during the Pandemic: A Physical Skill Auto-Assessment and Feedback Approach Based on a Reflection-Promoting Mechanism
Lu-Ho Hsia1; Gwo-Jen Hwang2,3,4; Yen-Nan Lin5; Jan-Pan Hwang6
Educational Technology Research and Development, v73 n3 p1429-1450 2025
In most physical education courses, teachers generally observe and interact with students face-to-face, so as to assess their learning status and provide immediate and appropriate guidance. However, during the COVID-19 pandemic, practical physical education courses moved completely online. Without physical contact, the safety, assessment, and overall learning quality of students in online physical education courses have become a difficult issue for teachers. Hence, the present study referred to the concept of reflective practice and developed a yoga skill auto-assessment and feedback (Auto-Yoga) system. It was implemented to provide students with instant professional evaluation and feedback, as well as to support the distance teaching of physical education courses. In order to verify the learning effects of the Auto-Yoga system, a class of 45 students was assigned to be the experimental group who adopted the Auto-Yoga system for learning, while the other class of 43 students as the control group adopted the conventional yoga skill learning (C-Yoga) system for learning during the period when face-to-face classes were not feasible due to the pandemic. The results showed that the Auto-Yoga system could significantly enhance students' yoga skill performance, learning motivation, and critical thinking.
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: 1National Chin-Yi University of Technology, Office of Physical Education, Taichung, Taiwan; 2National Taiwan University of Science and Technology, Graduate Institute of Digital Learning and Education, Taipei, Taiwan; 3National Taichung University of Education, Graduate Institute of Educational Information and Measurement, Taichung, Taiwan; 4Yuan Ze University, College of Management, Taoyuan, Taiwan; 5Ling Tung University, Office of Physical Education, Taichung, Taiwan; 6National Chin-Yi University of Technology, Department of Information Management, Taichung, Taiwan