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 Ng, Kevin Hang Hey Ma, Tsz Wing Choi

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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.
Original languageEnglish
Title of host publicationProceedings of The 2017 IEEE International Conference on Applied System Innovation (IEEE ICASI 2017)
EditorsTeen-Hang Meen, Stephen D. Prior, Artde Donald Kin-Tak Lam
Place of PublicationTaiwan
PublisherTaiwanese Institute of Knowledge Innovation (TIKI)
Pages762-765
ISBN (Electronic)978-1-5090-4897-7
DOIs
Publication statusPublished - Jul 2017
Externally publishedYes
Event2017 IEEE International Conference on Applied System Innovation (IEEE ICASI 2017) - Sapporo, Japan
Duration: 13 May 201717 May 2017
http://2017.icasi.asia/site/page.aspx?pid=901&sid=1140&lang=en

Conference

Conference2017 IEEE International Conference on Applied System Innovation (IEEE ICASI 2017)
PlaceJapan
CitySapporo
Period13/05/1717/05/17
Internet address

Research Keywords

  • Cantonese opera
  • Kinetic Chain Assessment
  • feedback
  • subsequent learning

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