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

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 challe...

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Detalles Bibliográficos
Autores principales: Du, Xu, Dai, Miao, Tang, Hengtao, Hung, Jui-Long, Li, Hao, Zheng, Jinqiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960685/
https://www.ncbi.nlm.nih.gov/pubmed/35370382
http://dx.doi.org/10.1007/s12528-022-09311-8
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author Du, Xu
Dai, Miao
Tang, Hengtao
Hung, Jui-Long
Li, Hao
Zheng, Jinqiu
author_facet Du, Xu
Dai, Miao
Tang, Hengtao
Hung, Jui-Long
Li, Hao
Zheng, Jinqiu
author_sort Du, Xu
collection PubMed
description 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.
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spelling pubmed-89606852022-03-29 A multimodal analysis of college students’ collaborative problem solving in virtual experimentation activities: a perspective of cognitive load Du, Xu Dai, Miao Tang, Hengtao Hung, Jui-Long Li, Hao Zheng, Jinqiu J Comput High Educ Article 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. Springer US 2022-03-29 /pmc/articles/PMC8960685/ /pubmed/35370382 http://dx.doi.org/10.1007/s12528-022-09311-8 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Du, Xu
Dai, Miao
Tang, Hengtao
Hung, Jui-Long
Li, Hao
Zheng, Jinqiu
A multimodal analysis of college students’ collaborative problem solving in virtual experimentation activities: a perspective of cognitive load
title A multimodal analysis of college students’ collaborative problem solving in virtual experimentation activities: a perspective of cognitive load
title_full A multimodal analysis of college students’ collaborative problem solving in virtual experimentation activities: a perspective of cognitive load
title_fullStr A multimodal analysis of college students’ collaborative problem solving in virtual experimentation activities: a perspective of cognitive load
title_full_unstemmed A multimodal analysis of college students’ collaborative problem solving in virtual experimentation activities: a perspective of cognitive load
title_short A multimodal analysis of college students’ collaborative problem solving in virtual experimentation activities: a perspective of cognitive load
title_sort multimodal analysis of college students’ collaborative problem solving in virtual experimentation activities: a perspective of cognitive load
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960685/
https://www.ncbi.nlm.nih.gov/pubmed/35370382
http://dx.doi.org/10.1007/s12528-022-09311-8
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