AI-facilitated reflective practice in physical education: an auto-assessment and feedback approach

Abstract

ABSTRACT To improve students’ sports skills performance, it is important to engage them in reflective practice. However, in physical classes, a teacher generally needs to face a number of students, and hence it is almost impossible to provide detailed guidance or feedback to individual students. Scholars have been trying to use Artificial Intelligence (AI) technologies to provide personalized support to individual students in diverse courses; however, in terms of promoting physical skills, there is a lack of sufficient research or practices. The present study aimed to develop a yoga automatic assessment and feedback system using AI technology to provide personalized feedback to engage individual students in reflective practice. To examine the learning effectiveness of the developed system, a total of 96 students were assigned to be the experimental group and adopted the yoga automatic assessment and feedback system for learning, while a total of 91 students were in the control group and adopted the general online learning system. The results showed that adopting the yoga automatic assessment and feedback system for learning could significantly increase students’ yoga skills performance. In addition, it had positive effects on students’ skills learning, which was conducive to “promoting reflection,” “enhancing learning motivation,” and “obtaining feedback.”