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A multimodal analysis of college students' collaborative problem solving in virtual experimentation activities: a perspective of cognitive load

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成果类型:
期刊论文
作者:
Du, Xu;Dai, Miao;Tang, Hengtao;Hung, Jui-Long;Li, Hao;...
通讯作者:
Hengtao Tang
作者机构:
[Dai, Miao; Hung, Jui-Long; Li, Hao; Du, Xu] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.
[Tang, Hengtao] Univ South Carolina, Dept Educ Studies, Columbia, SC 29208 USA.
[Hung, Jui-Long] Boise State Univ, Dept Educ Technol, Boise, ID USA.
[Zheng, Jinqiu] Guangdong Med Univ, Dongguan 523808, Guangdong, Peoples R China.
通讯机构:
[Hengtao Tang] D
Department of Educational Studies, University of South Carolina, Columbia, SC, United States
语种:
英文
关键词:
Cognitive load;Collaborative problem solving;Computer networking;Virtual experimentation;Online learning
期刊:
Journal of Computing in Higher Education
ISSN:
1042-1726
年:
2023
卷:
35
期:
2
页码:
272-295
基金类别:
This paper was supported by the National Natural Science Foundation of China (61877027, 62177020), and CCNU Teaching Education Innovation Research Project (CCNUTEIII 2021-18).
机构署名:
本校为第一机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
Distance 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 ...

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