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Autor/inn/enDu, Xu; Dai, Miao; Tang, Hengtao; Hung, Jui-Long; Li, Hao; Zheng, Jinqiu
TitelA Multimodal Analysis of College Students' Collaborative Problem Solving in Virtual Experimentation Activities: A Perspective of Cognitive Load
QuelleIn: Journal of Computing in Higher Education, 35 (2023) 2, S.272-295 (24 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Tang, Hengtao)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1042-1726
DOI10.1007/s12528-022-09311-8
SchlagwörterCollege Students; Cooperation; Participative Decision Making; Problem Solving; Experiments; Learning Activities; Cognitive Processes; Difficulty Level; Distance Education; Novices; Engineering Education; Academic Achievement; Performance; Electronic Learning
AbstractDistance education programs have become the preferred option for most higher education institutions to continue teaching during the COVID-19 pandemic, but the effectiveness of some online courses, especially those engineering courses with experimentation activities, remains disputed. The main challenge is fostering collaborative problem solving skills for novice students as online collaboration increases their cognitive load. This research thus tapped into novice engineering students' cognitive load to develop a more granular, multimodal view of how cognitive load influences student performance in collaborative problem solving during virtual experimentation activities. The findings of this research provided significant implications for the future design and implementation of virtual laboratories in computer science engineering education. (As Provided).
AnmerkungenSpringer. 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/
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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