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

被引:10
|
作者
Du, Xu [1 ]
Dai, Miao [1 ]
Tang, Hengtao [2 ]
Hung, Jui-Long [1 ,3 ]
Li, Hao [1 ]
Zheng, Jinqiu [4 ]
机构
[1] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China
[2] Univ South Carolina, Dept Educ Studies, Columbia, SC 29208 USA
[3] Boise State Univ, Dept Educ Technol, Boise, ID USA
[4] Guangdong Med Univ, Dongguan 523808, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Cognitive load; Collaborative problem solving; Computer networking; Virtual experimentation; Online learning; MENTAL WORKLOAD; INSTRUCTIONAL-DESIGN; SCIENCE; LABORATORIES; ONLINE; MEMORY; TASK; EDUCATION; SYSTEM; REMOTE;
D O I
10.1007/s12528-022-09311-8
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
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 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.
引用
收藏
页码:272 / 295
页数:24
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