Learning tennis through video-based reflective learning by using motion-tracking sensors

Chih Hung Yu, Cheng Chih Wu, Jye Shyan Wang, Hou Yu Chen, Yu Tzu Lin

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)64-77
Number of pages14
JournalEducational Technology and Society
Issue number1
Publication statusPublished - 2020


  • Physical education
  • Reflective learning
  • Sensors
  • Tennis
  • Video-based learning

ASJC Scopus subject areas

  • Education
  • Sociology and Political Science
  • General Engineering


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