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ERIC Number: EJ1461692
Record Type: Journal
Publication Date: 2025-Mar
Pages: 24
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1042-1726
EISSN: EISSN-1867-1233
Available Date: 2023-10-05
Is Cross-Discipline Better than Same-Discipline for Cognitive Engagement in Computer Supported Collaborative Learning? An Empirical Study Using Epistemic Network Analysis
Linjing Wu1; Shuang Yu1; Qingtang Liu1; Junmin Ye2; Xinxin Zheng1; Jianhu Wang3
Journal of Computing in Higher Education, v37 n1 p171-194 2025
Interdisciplinary collaboration is widely used in research, industry, and education. Understanding the differences in cognitive processes between cross-discipline and same-discipline groups can improve instruction in collaborative learning. In this study, students volunteered to participate in cross-discipline or same-discipline collaborative learning groups to collaboratively complete three assignments. Epistemic network analysis was employed to identify the differences in cognitive engagement, the roles of group leaders, and the trajectory differences between these two kinds of groups. The results showed that compared to same-discipline groups, cross-discipline groups have lower-order cognitive engagement. Group leaders in cross-discipline groups invested most of their energy into inquiring or starting the discussion. In addition, cognitive engagement of cross-discipline groups dropped sharply over time in collaborative learning. These differences imply that to achieve better collaboration in cross-discipline groups, teachers should provide more interventions, such as evaluation and analytical support, to help students reach high-level cognitive engagement.
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link-springer-com.bibliotheek.ehb.be/
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: 1Central China Normal University, Faculty of Artificial Intelligence in Education, Wuhan, China; 2Central China Normal University, School of Computing, Wuhan, China; 3Xinjiang Normal University, College of Educational Science, Wulumuqi, China