The effect of wearable technology on badminton learning performance: a multiple feedback WISER model in physical education

Kuo Chin Lin, Hui Chun Hung, Nian Shing Chen

研究成果: 雜誌貢獻期刊論文同行評審

3 引文 斯高帕斯(Scopus)

摘要

Traditional physical education mainly relies on the instructor’s verbal explanations and physical demonstrations. However, learners might be confused about whether their movements and positions are correct. Moreover, a typical badminton class has approximately 50 students, creating a huge teaching load for an instructor. To reduce the instructor’s workload and improve learners’ badminton performance, a multiple feedback WISER model was designed for badminton classes. The model provides visual feedback, information feedback, and verbal guidance to learners. In this study, a quasi-experiment was designed and participants were divided into experimental and control groups. The experimental group adopted the multiple feedback WISER model while the control group applied the conventional method. The teaching experiment lasted for 8 weeks with 46 participants in the experimental group and 50 participants in the control group, respectively. To measure the learning performance, a movement detection system using wearable technology was utilized. The results indicate that the experimental group, which used the multiple feedback WISER model, outperformed the control group, which used traditional teaching methods, on badminton clear and smash skill learning (Clear: p <.001, EG = 71.03, CG = 54.76; Smash: p <.01, EG = 82.79, CG = 72.22). Further analysis reveals that the multiple feedback is more beneficial for learners with lower initial skill levels (Clear: p <.05, Lower = 63.21, Higher = 46.99; Smash: p <.001, Lower = 77.67, Higher = 39.39)

原文???core.languages.en_GB???
文章編號28
期刊Smart Learning Environments
10
發行號1
DOIs
出版狀態已出版 - 12月 2023

指紋

深入研究「The effect of wearable technology on badminton learning performance: a multiple feedback WISER model in physical education」主題。共同形成了獨特的指紋。

引用此