Effects of real-time visual feedback on pre-service teachers’ singing

Samuel LEONG, Lee CHENG

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

This pilot study focuses on the use real-time visual feedback technology (VFT) in vocal training. The empirical research has two aims: to ascertain the effectiveness of the real-time visual feedback software ‘Sing & See’ in the vocal training of pre-service music teachers and the teachers' perspective on their experience with VFT. Forty participants from an undergraduate music teacher education programme were randomly assigned to three groups. The first two groups were assigned the teacher and student versions of Sing & See, respectively, and the third group served as a control group without access to the software. The experimental groups were given 12 weeks to use the software for vocal training on a self-regulated basis. The technique of complex selections (TCS) was designed to assess the pitch accuracy and richness of vocal timbre. Pre- and post-test singing tasks showed that the participants from the experimental groups significantly improved their vocal timbre. A questionnaire survey conducted after the training period found that most of the participants in the experimental s were positive about the effectiveness of VFT software in vocal training. As future leaders in the implementation of music education technology, pre-service music teachers expressed a positive attitude towards the use of VFT as a technology-enhanced learning (TEL) component in music education. Copyright © 2013 John Wiley & Sons Ltd.
Original languageEnglish
Pages (from-to)285-296
JournalJournal of Computer Assisted Learning
Volume30
Issue number3
Early online dateDec 2013
DOIs
Publication statusPublished - 2014

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Bibliographical note

Leong, S., & Cheng, L. (2014). Effects of real-time visual feedback on pre-service teachers’ singing. Journal of Computer Assisted Learning, 30(3), 285-296.

Keywords

  • Pre-service music teacher
  • Real-time visual feedback
  • Technique of complex selections
  • Technology enhanced learning
  • Vocal training