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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....

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Detalles Bibliográficos
Autores principales: Bustos-López, Maritza, Cruz-Ramírez, Nicandro, Guerra-Hernández, Alejandro, Sánchez-Morales, Laura Nely, Cruz-Ramos, Nancy Aracely, Alor-Hernández, Giner
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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