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Affective Cognition of Students’ Autonomous Learning in College English Teaching Based on Deep Learning
Emotions can influence and regulate learners’ attention, memory, thinking, and other cognitive activities. The similarities and differences between English and non-English majors in terms of English classroom learning engagement were compared, and the significant factors affecting the emotional, cog...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8808963/ https://www.ncbi.nlm.nih.gov/pubmed/35126258 http://dx.doi.org/10.3389/fpsyg.2021.808434 |
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author | Zhang, Dian |
author_facet | Zhang, Dian |
author_sort | Zhang, Dian |
collection | PubMed |
description | Emotions can influence and regulate learners’ attention, memory, thinking, and other cognitive activities. The similarities and differences between English and non-English majors in terms of English classroom learning engagement were compared, and the significant factors affecting the emotional, cognitive, and behavioral engagement of the two groups of students in the English classroom were different. English majors’ affective engagement in the classroom was not significant, which was largely related to their time and frequency of English learning. Traditional methods of learner emotion recognition suffer from low recognition rate, complex algorithms, poor robustness, and easy to lose key information about facial expression features. The paper proposes a convolutional neural network-based learner emotion recognition method, which includes three convolutional layers, three pooling layers, and one fully connected layer. In the future, the method will can be applied to the construction of smart learning environments, providing technical support for improving learner models, realizing emotional interactions, and mining learning behaviors, etc. |
format | Online Article Text |
id | pubmed-8808963 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88089632022-02-03 Affective Cognition of Students’ Autonomous Learning in College English Teaching Based on Deep Learning Zhang, Dian Front Psychol Psychology Emotions can influence and regulate learners’ attention, memory, thinking, and other cognitive activities. The similarities and differences between English and non-English majors in terms of English classroom learning engagement were compared, and the significant factors affecting the emotional, cognitive, and behavioral engagement of the two groups of students in the English classroom were different. English majors’ affective engagement in the classroom was not significant, which was largely related to their time and frequency of English learning. Traditional methods of learner emotion recognition suffer from low recognition rate, complex algorithms, poor robustness, and easy to lose key information about facial expression features. The paper proposes a convolutional neural network-based learner emotion recognition method, which includes three convolutional layers, three pooling layers, and one fully connected layer. In the future, the method will can be applied to the construction of smart learning environments, providing technical support for improving learner models, realizing emotional interactions, and mining learning behaviors, etc. Frontiers Media S.A. 2022-01-19 /pmc/articles/PMC8808963/ /pubmed/35126258 http://dx.doi.org/10.3389/fpsyg.2021.808434 Text en Copyright © 2022 Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Zhang, Dian Affective Cognition of Students’ Autonomous Learning in College English Teaching Based on Deep Learning |
title | Affective Cognition of Students’ Autonomous Learning in College English Teaching Based on Deep Learning |
title_full | Affective Cognition of Students’ Autonomous Learning in College English Teaching Based on Deep Learning |
title_fullStr | Affective Cognition of Students’ Autonomous Learning in College English Teaching Based on Deep Learning |
title_full_unstemmed | Affective Cognition of Students’ Autonomous Learning in College English Teaching Based on Deep Learning |
title_short | Affective Cognition of Students’ Autonomous Learning in College English Teaching Based on Deep Learning |
title_sort | affective cognition of students’ autonomous learning in college english teaching based on deep learning |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8808963/ https://www.ncbi.nlm.nih.gov/pubmed/35126258 http://dx.doi.org/10.3389/fpsyg.2021.808434 |
work_keys_str_mv | AT zhangdian affectivecognitionofstudentsautonomouslearningincollegeenglishteachingbasedondeeplearning |