Suche

Wo soll gesucht werden?
Erweiterte Literatursuche

Ariadne Pfad:

Inhalt

Literaturnachweis - Detailanzeige

 
Autor/inn/enLin, Kuo-Chin; Hung, Hui-Chun; Chen, Nian-Shing
TitelThe Effect of Wearable Technology on Badminton Learning Performance: A Multiple Feedback WISER Model in Physical Education
QuelleIn: Smart Learning Environments, 10 (2023), Artikel 28 (21 Seiten)Infoseite zur Zeitschrift
PDF als Volltext Verfügbarkeit 
ZusatzinformationORCID (Hung, Hui-Chun)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
DOI10.1186/s40561-023-00247-9
SchlagwörterAssistive Technology; Racquet Sports; Feedback (Response); Physical Education; Skill Development; Teaching Methods; Instructional Effectiveness; Psychomotor Skills
AbstractTraditional 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 < 0.001, EG = 71.03, CG = 54.76; Smash: p < 0.01, 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 < 0.05, Lower = 63.21, Higher = 46.99; Smash: p < 0.001, Lower = 77.67, Higher = 39.39) (As Provided).
AnmerkungenSpringer. 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/
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
Literaturbeschaffung und Bestandsnachweise in Bibliotheken prüfen
 

Standortunabhängige Dienste

Tipps zum Auffinden elektronischer Volltexte im Video-Tutorial

Trefferlisten Einstellungen

Permalink als QR-Code

Permalink als QR-Code

Inhalt auf sozialen Plattformen teilen (nur vorhanden, wenn Javascript eingeschaltet ist)

Teile diese Seite: