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Wearables for Engagement Detection in Learning Environments: A Review
Appropriate teaching–learning strategies lead to student engagement during learning activities. Scientific progress and modern technology have made it possible to measure engagement in educational settings by reading and analyzing student physiological signals through sensors attached to wearables....
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312492/ https://www.ncbi.nlm.nih.gov/pubmed/35884312 http://dx.doi.org/10.3390/bios12070509 |
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author | Bustos-López, Maritza Cruz-Ramírez, Nicandro Guerra-Hernández, Alejandro Sánchez-Morales, Laura Nely Cruz-Ramos, Nancy Aracely Alor-Hernández, Giner |
author_facet | Bustos-López, Maritza Cruz-Ramírez, Nicandro Guerra-Hernández, Alejandro Sánchez-Morales, Laura Nely Cruz-Ramos, Nancy Aracely Alor-Hernández, Giner |
author_sort | Bustos-López, Maritza |
collection | PubMed |
description | Appropriate teaching–learning strategies lead to student engagement during learning activities. Scientific progress and modern technology have made it possible to measure engagement in educational settings by reading and analyzing student physiological signals through sensors attached to wearables. This work is a review of current student engagement detection initiatives in the educational domain. The review highlights existing commercial and non-commercial wearables for student engagement monitoring and identifies key physiological signals involved in engagement detection. Our findings reveal that common physiological signals used to measure student engagement include heart rate, skin temperature, respiratory rate, oxygen saturation, blood pressure, and electrocardiogram (ECG) data. Similarly, stress and surprise are key features of student engagement. |
format | Online Article Text |
id | pubmed-9312492 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93124922022-07-26 Wearables for Engagement Detection in Learning Environments: A Review Bustos-López, Maritza Cruz-Ramírez, Nicandro Guerra-Hernández, Alejandro Sánchez-Morales, Laura Nely Cruz-Ramos, Nancy Aracely Alor-Hernández, Giner Biosensors (Basel) Review Appropriate teaching–learning strategies lead to student engagement during learning activities. Scientific progress and modern technology have made it possible to measure engagement in educational settings by reading and analyzing student physiological signals through sensors attached to wearables. This work is a review of current student engagement detection initiatives in the educational domain. The review highlights existing commercial and non-commercial wearables for student engagement monitoring and identifies key physiological signals involved in engagement detection. Our findings reveal that common physiological signals used to measure student engagement include heart rate, skin temperature, respiratory rate, oxygen saturation, blood pressure, and electrocardiogram (ECG) data. Similarly, stress and surprise are key features of student engagement. MDPI 2022-07-11 /pmc/articles/PMC9312492/ /pubmed/35884312 http://dx.doi.org/10.3390/bios12070509 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Bustos-López, Maritza Cruz-Ramírez, Nicandro Guerra-Hernández, Alejandro Sánchez-Morales, Laura Nely Cruz-Ramos, Nancy Aracely Alor-Hernández, Giner Wearables for Engagement Detection in Learning Environments: A Review |
title | Wearables for Engagement Detection in Learning Environments: A Review |
title_full | Wearables for Engagement Detection in Learning Environments: A Review |
title_fullStr | Wearables for Engagement Detection in Learning Environments: A Review |
title_full_unstemmed | Wearables for Engagement Detection in Learning Environments: A Review |
title_short | Wearables for Engagement Detection in Learning Environments: A Review |
title_sort | wearables for engagement detection in learning environments: a review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312492/ https://www.ncbi.nlm.nih.gov/pubmed/35884312 http://dx.doi.org/10.3390/bios12070509 |
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