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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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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. |
format | Online Article Text |
id | pubmed-8960685 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
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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