Learning Tennis through Video-Based Reflective Learning by Using Motion-Tracking Sensors

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Bibliographic Details
Title: Learning Tennis through Video-Based Reflective Learning by Using Motion-Tracking Sensors
Language: English
Authors: Yu, Chih-Hung, Wu, Cheng-Chih, Wang, Jye-Shyan, Chen, Hou-Yu, Lin, Yu-Tzu
Source: Educational Technology & Society. Jan 2020 23(1):64-77.
Availability: International Forum of Educational Technology & Society. Available from: National Sun Yat-sen University. Department of Information Management, 70, Lien-Hai Road, Kaohsiung, 80424, Taiwan. Web site: https://www.j-ets.net/
Peer Reviewed: Y
Page Count: 14
Publication Date: 2020
Document Type: Journal Articles
Reports - Research
Tests/Questionnaires
Education Level: Higher Education
Postsecondary Education
Descriptors: Racquet Sports, Physical Education, Video Technology, Reflection, Motion, Measurement Equipment, College Students, Novices, Positive Attitudes, Computer Software, Telecommunications, Demonstrations (Educational), Instructional Effectiveness, Self Evaluation (Individuals), Integrated Learning Systems, Foreign Countries, Feedback (Response)
Geographic Terms: Taiwan
ISSN: 1436-4522
Abstract: This study proposed a video-based reflective learning approach using motion-tracking sensors to facilitate the learning of tennis skills in a college physical education class by beginning players. The motion-tracking sensors, synchronized with a smartphone video application, were attached to tennis rackets for collecting the students' shot-data. By observing one's practice videos, students could compare their performance with the instructor's demo videos and reflect on the differences for possible improvement. A quasi-experimental method was conducted on two intact classes of students to investigate the effects of the proposed approach. The results showed that students taught by the proposed approach performed better than the traditional approach, exhibited positive attitudes toward learning, and obtained the essence of key tennis techniques. Future implementation should train students how to interpret the sensor collected shot-data so that students can have richer information for reflection.
Abstractor: As Provided
Entry Date: 2020
Access URL: https://www.j-ets.net/collection/published-issues/23_1
Accession Number: EJ1255778
Database: ERIC
Description
Abstract:This study proposed a video-based reflective learning approach using motion-tracking sensors to facilitate the learning of tennis skills in a college physical education class by beginning players. The motion-tracking sensors, synchronized with a smartphone video application, were attached to tennis rackets for collecting the students' shot-data. By observing one's practice videos, students could compare their performance with the instructor's demo videos and reflect on the differences for possible improvement. A quasi-experimental method was conducted on two intact classes of students to investigate the effects of the proposed approach. The results showed that students taught by the proposed approach performed better than the traditional approach, exhibited positive attitudes toward learning, and obtained the essence of key tennis techniques. Future implementation should train students how to interpret the sensor collected shot-data so that students can have richer information for reflection.
ISSN:1436-4522