An empirical study on learners' learning emotion and learning effect in offline learning environment.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 11 07 2023
accepted: 30 10 2023
medline: 20 11 2023
pubmed: 17 11 2023
entrez: 16 11 2023
Statut: epublish

Résumé

The application of non-cognitive factors represented by facial emotion in educational evaluation has attracted much attention in recent years. There are many existing studies on facial emotion assisted education evaluation, but most of them are based on virtual learning environments, which means that the research on facial emotion and learning effect in offline learning environments is sparse. In order to solve this problem, this study designed an emotion observation experiment based on the offline learning environment, obtained the type of learner facial emotion and learning effect of 127 college students, and further explored the relationship between the two. The results show that: 1) We obtained eight types of learner emotion through the combined description method: joy, relaxation, surprise, meekness, contempt, disgust, sadness, anxiety and their respective PAD emotional mean. 2) We obtained the correlation results of the six emotions of joy, relaxation, surprise, meekness, contempt, and anxiety with the learning effect and the predicted value of the learning effect. 3) We then constructed an explanatory model of learner emotion and learning effect based on the offline learning environment.

Identifiants

pubmed: 37972001
doi: 10.1371/journal.pone.0294407
pii: PONE-D-23-19684
pmc: PMC10653466
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0294407

Informations de copyright

Copyright: © 2023 Mou et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

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Auteurs

Xiangwei Mou (X)

The Teachers College for Vocational and Technical Education, Guangxi Normal University, Guilin, Guangxi, China.
College of Electronic and Information Engineering/Integrated Circuits, Guangxi Normal University, Guilin, China.

Yu Xin (Y)

The Teachers College for Vocational and Technical Education, Guangxi Normal University, Guilin, Guangxi, China.

Yongfu Song (Y)

College of Electronic and Information Engineering/Integrated Circuits, Guangxi Normal University, Guilin, China.

Jinshan Xiang (J)

The Teachers College for Vocational and Technical Education, Guangxi Normal University, Guilin, Guangxi, China.

Yuanbin Tang (Y)

The Teachers College for Vocational and Technical Education, Guangxi Normal University, Guilin, Guangxi, China.

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Classifications MeSH