Authors:
Jing Li
1
;
Chi-Hui Wu
2
;
Tung-Jung Lin
2
and
Reed-Joe Chang
2
Affiliations:
1
Music and Film College, Tainjin Normal University, Binshui West Rd., Tianjin and China
;
2
Ph.D. Program in Management, Da-Yeh University, University Rd., Chunghua and Taiwan
Keyword(s):
Applying Information Technology for Music Teaching, Self-Directed Learning, Music Learning Motivation, Online Learning Attitudes, Learning Engagement, Fuzzy Delphi Method, ISM with Fuzzy MICMAC.
Related
Ontology
Subjects/Areas/Topics:
Computer-Supported Education
;
Information Technologies Supporting Learning
;
Learning Analytics
Abstract:
This article is to investigate the learner’s behaviour in music teaching applying information technology using ISM with Fuzzy and MICMAC approach. Since learner’s behaviour features multiple characteristics which are complicated and interact with each other, this article makes clear the relationships within characteristics of learning behaviour and provides education institutions with instruction on teaching strategies for music teaching applying information technology on activating learners’ learning behaviour. This research shows that music teaching applying information technology affects behaviour relating to learners’ online learning attitudes, music learning motivation, and learning engagement. Among them, the self-directed learning factor p most critical to the learning behaviour.