Enhancing online learning for dance majors: A customized teaching approach using massive open online courses

The purpose of this study was to investigate the correlation among the components affecting MOOC ability to learn the Chinese dance majors. MOOC courses are easy to register and access whereas SPOC derived from MOOC allows access to selected students. MOOC implementing AI for teaching improves the quality of courses as AI determines content with data stored for subject and analysis in a short span. The subjects of this study are 200 dance students from Hanan Mass Media Vocational and Technical College in China. The researchers collected questionnaires based on the components affecting MOOC learning adaptability face-to-face one-on-one. The collected questionnaire data used in this study were analyzed by SPSS. As a result of the research, learning motivation, learning self-efficacy, MOOC platform, course content quality, learning support and teacher teaching are all important factors affecting learning adaptability. In this way, it not only provides guidance for MOOC teaching, but also provides help for dance students to adapt to MOOC learning.