Artificial intelligence-supported physical education during the pandemic: a physical skill auto-assessment and feedback approach based on a reflection-promoting mechanism.
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| Title: | Artificial intelligence-supported physical education during the pandemic: a physical skill auto-assessment and feedback approach based on a reflection-promoting mechanism. |
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| Authors: | Hsia, Lu-Ho (AUTHOR), Hwang, Gwo-Jen (AUTHOR), Lin, Yen-Nan (AUTHOR), Hwang, Jan-Pan (AUTHOR) |
| Source: | Educational Technology Research & Development. Jun2025, Vol. 73 Issue 3, p1429-1450. 22p. |
| Subjects: | Physical education, COVID-19, Reflective learning, Feedback control systems, Distance education, Yoga techniques, Artificial intelligence, Self-evaluation |
| Abstract: | 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. [ABSTRACT FROM AUTHOR] |
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| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | 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. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 10421629 |
| DOI: | 10.1007/s11423-025-10452-7 |
