Informing music teaching and learning using movement analysis technology

被引:30
|
作者
Visentin, Peter [1 ]
Shan, Gongbing [2 ]
Wasiak, Edwin B. [1 ]
机构
[1] Univ Lethbridge, Dept Mus, Fac Educ, Lethbridge, AB T1K 3M4, Canada
[2] Univ Lethbridge, Dept Kinesiol, Lethbridge, AB T1K 3M4, Canada
关键词
3-D motion analysis; biomechanical modeling; electromyography (EMG); learning markers; motor control; motor learning; violin pedagogy;
D O I
10.1177/0255761407085651
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This study explores the utility of movement analysis technology as a means of contributing to a performance pedagogy informed in part by science. Two research questions were investigated: Can biomechanical skills needed for performance on the violin be accurately and objectively characterized and generalized? Can these data be used to inform performance pedagogy to maximize efficiencies and minimize injury? Movement analysis technology was used to study biomechanical phenomena associated with legato bowing on the violin. Results identified and described generalizable characteristics or markers among expert violinists, interactions between right shoulder and elbow, and three discrete tempo-dependent phases of motor control. Such markers may provide new ways of accurately identifying, assessing, and communicating when teaching. Results hold implications for factors related to overuse injuries and underscore the need for more systematic collaborative inquiry into performance pedagogy.
引用
收藏
页码:73 / 87
页数:15
相关论文
共 50 条
  • [21] USING TECHNOLOGY IN THE TEACHING AND LEARNING OF BOX PLOTS
    Kortenkamp, Ulrich
    Rolka, Katrin
    CERME 6 - PROCEEDINGS OF THE 6TH CONGRESS OF THE EUROPEAN SOCIETY FOR RESEARCH IN MATHEMATICS EDUCATION, 2010, : 1070 - 1080
  • [23] Analysis of music teaching technology based on a data mining model
    Liu Y.
    Applied Mathematics and Nonlinear Sciences, 2023, 8 (02) : 3013 - 3022
  • [24] Using Music Technology to Motivate Foreign Language Learning
    Turnbull, Douglas
    Gupta, Chitralekha
    Murad, Dania
    Barone, Michael
    Wang, Ye
    PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON ORANGE TECHNOLOGIES (ICOT), 2017, : 218 - 221
  • [25] Music Recognition Using Blockchain Technology and Deep Learning
    Chen, Xize
    Qu, Xiaoyu
    Qian, Yufeng
    Zhang, Yiyao
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [26] Music Technology Software in Adopting Music Teaching Contents
    Jeremic, Biljana
    Pecanac, Rajko
    Stankovic, Emilija
    Durdevic, Tanja
    CROATIAN JOURNAL OF EDUCATION-HRVATSKI CASOPIS ZA ODGOJ I OBRAZOVANJE, 2020, 22 (01): : 263 - 286
  • [27] THE IMPACT OF TEACHING ORIENTAL MUSIC USING BLENDED LEARNING APPROACH
    Edward, Chamila Nishanthi
    Asirvatham, David
    Johar, Md Gapar Md
    MALAYSIAN JOURNAL OF LEARNING & INSTRUCTION, 2019, 16 (01): : 81 - 103
  • [28] The ethnomusicology of music learning and teaching
    Rice, T
    COLLEGE MUSIC SYMPOSIUM, 2003, 43 : 65 - 85
  • [29] Application and Research on Digital Music Technology in Music Teaching
    Ruan Qionggang
    2009 IEEE 10TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED INDUSTRIAL DESIGN & CONCEPTUAL DESIGN, VOLS 1-3: E-BUSINESS, CREATIVE DESIGN, MANUFACTURING - CAID&CD'2009, 2009, : 1947 - 1949
  • [30] The Psychology of Teaching and Learning Music
    Dabell, Ellie
    BRITISH JOURNAL OF MUSIC EDUCATION, 2024, 41 (03) : 316 - 317