Mobile learning as deep learning: Content analysis of in-service primary school music teachers’ lesson plans in mobile music creation

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Abstract

This study analysed the content of 30 in-service primary school music teachers’ lesson plans for mobile music creation during a 5-week professional development course from 2019 to 2022 in Hong Kong. During the course, the teachers were taught by the researcher on how to use the mobile application GarageBand in their instructional design for classroom music teaching. Various mobile learning pedagogies were discussed during the course to facilitate listening, performing and creating in music teaching and learning. As a learning outcome of this course, the teachers were asked to upload their lesson plans to the Knowledge Transfer website to exchange ideas for further discussion and professional sharing with other in-service teachers from their respective schools. The purpose of this study was to provide an analysis of their teaching plans based on previously published research on mobile learning and motivation. This study aimed to a) deepen the understanding of music lessons in mobile music creation, and b) analysing the lesson plans and suggesting how different teaching strategies and approaches can be used in classroom teaching. Based on the results of the study, a pedagogical model is proposed as a reference point for knowledge exchange in the research and practice of music education. Copyright © 2023 The Author(s).

Original languageEnglish
JournalInternational Journal of Music Education
Early online dateAug 2023
DOIs
Publication statusE-pub ahead of print - Aug 2023

Citation

Chen, J. C. W. (2023). Mobile learning as deep learning: Content analysis of in-service primary school music teachers’ lesson plans in mobile music creation. International Journal of Music Education. Advance online publication. https://doi.org/10.1177/02557614231191520

Keywords

  • Deep learning
  • Mobile learning
  • Mobile music creation
  • Primary school music teachers
  • Teaching strategies

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