ERIC Number: EJ1473663
Record Type: Journal
Publication Date: 2025
Pages: 25
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0158-7919
EISSN: EISSN-1475-0198
Available Date: 0000-00-00
An fsQCA Approach to Identifying Pathways to K-9 Students' Online Learning Engagement
Yunpeng Ma1,2; Mingzhang Zuo2; Yujie Yan2; Heng Luo2; Kunyu Wang2
Distance Education, v46 n2 p148-172 2025
Student engagement has been shown to function as a pathway leading to valued educational outcomes. This study used fuzzy-set qualitative comparative analysis (fsQCA) to reveal how various configurations of sex, grade level, teaching presence, social presence, perceived usefulness, perceived ease of use, and parental support lead to high online learning engagement (OLE) in a sample of 516 compulsory education (K-9) students from three provinces in Central and Eastern China. The results indicated that eight configurations of the conditions were required to attain high OLE. Of these, one configuration was sufficient to explain high OLE for all students regardless of sex and grade level, five different configurations lead to high OLE for elementary school students, and one configuration explained high OLE for boys and girls regardless of grade level. Identifying these specific configurations could help teachers to design and provide personalized online learning experiences that enhance student engagement.
Descriptors: Online Courses, Learner Engagement, Elementary School Students, Middle School Students, Compulsory Education, Foreign Countries, Gender Differences, Scores
Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Education; Junior High Schools; Middle Schools; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: China
Grant or Contract Numbers: N/A
Author Affiliations: 1Department of Education Science, Zhoukou Normal University, Zhoukou, China; 2Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China