A data-driven emotion model for English learners based on machine learning
Learning confusion is a common emotion among learners. With the aid of machine learning, this paper develops a data-driven emotion model that automatically recognizes learning confusion in facial expression images. The data on learning behaviors and learning confusion of multiple subjects were colle...
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Format: | Article |
Language: | English |
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International Association of Online Engineering
2021
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Online Access: | http://eprints.utm.my/94034/1/KewSiNa2021_ADataDrivenEmotionModel.pdf |
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author | Zheng, Zhao Kew, Si Na |
author_facet | Zheng, Zhao Kew, Si Na |
author_sort | Zheng, Zhao |
collection | ePrints |
description | Learning confusion is a common emotion among learners. With the aid of machine learning, this paper develops a data-driven emotion model that automatically recognizes learning confusion in facial expression images. The data on learning behaviors and learning confusion of multiple subjects were collected through an online English evaluation experiment, and imported to the proposed model to derive the relationship between learning confusion and academic performance, which is measured by the correctness of the students’ answers to the test questions. The experimental results show that the students with learning confusion had relatively low correct rate of answering test questions. The research findings reveal the relationship between learning confusion and academic performance, laying the basis for predicting the academic performance of English learners through machine learning. |
first_indexed | 2024-03-05T21:01:42Z |
format | Article |
id | utm.eprints-94034 |
institution | Universiti Teknologi Malaysia - ePrints |
language | English |
last_indexed | 2024-03-05T21:01:42Z |
publishDate | 2021 |
publisher | International Association of Online Engineering |
record_format | dspace |
spelling | utm.eprints-940342022-02-28T13:31:21Z http://eprints.utm.my/94034/ A data-driven emotion model for English learners based on machine learning Zheng, Zhao Kew, Si Na PE English Learning confusion is a common emotion among learners. With the aid of machine learning, this paper develops a data-driven emotion model that automatically recognizes learning confusion in facial expression images. The data on learning behaviors and learning confusion of multiple subjects were collected through an online English evaluation experiment, and imported to the proposed model to derive the relationship between learning confusion and academic performance, which is measured by the correctness of the students’ answers to the test questions. The experimental results show that the students with learning confusion had relatively low correct rate of answering test questions. The research findings reveal the relationship between learning confusion and academic performance, laying the basis for predicting the academic performance of English learners through machine learning. International Association of Online Engineering 2021-06 Article PeerReviewed application/pdf en http://eprints.utm.my/94034/1/KewSiNa2021_ADataDrivenEmotionModel.pdf Zheng, Zhao and Kew, Si Na (2021) A data-driven emotion model for English learners based on machine learning. International Journal of Emerging Technologies in Learning, 16 (8). pp. 34-46. ISSN 1868-8799 http://dx.doi.org/10.3991/ijet.v16i08.22127 DOI:10.3991/ijet.v16i08.22127 |
spellingShingle | PE English Zheng, Zhao Kew, Si Na A data-driven emotion model for English learners based on machine learning |
title | A data-driven emotion model for English learners based on machine learning |
title_full | A data-driven emotion model for English learners based on machine learning |
title_fullStr | A data-driven emotion model for English learners based on machine learning |
title_full_unstemmed | A data-driven emotion model for English learners based on machine learning |
title_short | A data-driven emotion model for English learners based on machine learning |
title_sort | data driven emotion model for english learners based on machine learning |
topic | PE English |
url | http://eprints.utm.my/94034/1/KewSiNa2021_ADataDrivenEmotionModel.pdf |
work_keys_str_mv | AT zhengzhao adatadrivenemotionmodelforenglishlearnersbasedonmachinelearning AT kewsina adatadrivenemotionmodelforenglishlearnersbasedonmachinelearning AT zhengzhao datadrivenemotionmodelforenglishlearnersbasedonmachinelearning AT kewsina datadrivenemotionmodelforenglishlearnersbasedonmachinelearning |