ERIC Number: EJ1416092
Record Type: Journal
Publication Date: 2024
Pages: 29
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1360-2357
EISSN: EISSN-1573-7608
Enhancing Online Learning for Dance Majors: A Customized Teaching Approach Using Massive Open Online Courses
Jiazi Li; Heung Kou; Jue Wang; Wei Ren
Education and Information Technologies, v29 n4 p5139-5167 2024
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.
Descriptors: Electronic Learning, Dance Education, Majors (Students), Teaching Methods, MOOCs, Foreign Countries, Technology Uses in Education, Artificial Intelligence, Learning Motivation, Self Efficacy, Course Content, Educational Quality, Learning Processes
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: China
Grant or Contract Numbers: N/A