Abstract
Because of the learning behaviors of learners include multiple characteristics and tendencies and the behaviors with complex and tangled associations, in this study, ISM with Fuzzy MICMAC and Fuzzy DEMATEL methods (approach) were applied. Analyze and discuss the dimensions and criteria of applying information technology to assist music teaching to influence learners' learning behaviors and to clarify the relationship between learning behaviors and to provide educational institutions and schools to introduce or improve the integration of information technology into music teaching of the teaching strategies and curriculum design and planning to trigger learners' learning behavior. Studies show that in terms of dimension, the integration of information technology into music teaching will motivate learners in areas such as online learning attitudes, music learning motivation, and learning engagement, and self-directed learning. The self-directed learning factor is an important key to the dimension of learning behavior; among these criterions, online teaching of musical performance, musical instrument teaching, and music theory will influence about 23 criteria of the learners' learning behavior, and computer/smart-phone preferences, online learning, computer/smart-phone, and computer and network confidence are the three keys to learning behavior criterion, therefore, in addition to establishing a good music teaching environment, strengthening learners' self-directed learning and online learning attitudes are important learning guidelines.
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Li, J., Lin, J. T., & Wu, C. H. (2020). Deterministic Factors Influencing Learners’ Online Learning Behaviors by Applying IT-assisted Music Curriculum. In ACM International Conference Proceeding Series (pp. 58–68). Association for Computing Machinery. https://doi.org/10.1145/3401861.3401874
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