Kinetic chain assessment and learning computerized system for Cantonese opera: The development, validation and application

Magdalena Mo Ching MOK, Bo Wah LEUNG, Bor-Chen KUO, Zhi-Yong LIU, Sze Ming LAM, Chun Wai Thomson NG, Kevin Hang Hey MA, Tsz Wing CHOI

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This study aims to promote the assessment of, for, and as learning of Cantonese opera with the development of the Computerized Kinetic Chain Assessment and Learning System (CKCALS). The CKCALS captures and calibrates the coordinates and angles of the skeletal joints during learners' movements, compares them with the standard set by the experts, and provides instant feedback for learner's subsequent learning. Fifty-nine persons were recruited for system validation, which was followed by system refinement and application for an intervention. Investigations are planned for changes to students' performance and their motivation and self-efficacy with regard to learning Cantonese opera. Copyright © 2017 IEEE.
Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE International Conference on Applied System Innovation (IEEE-ICASI 2017), Sapporo, Japan, 13-17 May 2017
EditorsTeen-Hang MEEN , Stephen D. PRIOR , Artde Donald Kin-Tak LAM
PublisherTaiwanese Institute of Knowledge Innovation
Pages762-765
ISBN (Print)9781509048977
DOIs
Publication statusPublished - 2017

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opera
learning
self-efficacy
expert
human being
performance
student

Bibliographical note

Mok, M. M. C., Leung, B. W., Kuo, B.-C., Liu, Z.-Y., Lam, S. M., Ng, C. W., et al. (2017). Kinetic chain assessment and learning computerized system for Cantonese opera: The development, validation and application. In T.-H. Meen, S. D. Prior, & A. D. K.-T. Lam (Eds.), Proceedings of the 2017 IEEE International Conference on Applied System Innovation (IEEE-ICASI 2017), Sapporo, Japan, 13-17 May 2017 (pp. 762-765). Taiwan: Taiwanese Institute of Knowledge Innovation.

Keywords

  • Cantonese opera
  • Kinetic Chain Assessment
  • Feedback
  • Subsequent learning