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dc.contributor.authorBustos-López, Maritza
dc.contributor.authorCruz-Ramírez, Nicandro
dc.contributor.authorGuerra-Hernández, Alejandro
dc.contributor.authorSánchez Morales, Laura Nely
dc.contributor.authorCruz-Ramos, Nancy Aracely
dc.contributor.authorAlor-Hernández, Giner
dc.date.accessioned2023-01-08T13:27:39Z
dc.date.available2023-01-08T13:27:39Z
dc.date.issued2022-07-11
dc.identifier.citationBustos-López, M.; Cruz-Ramírez, N.; Guerra-Hernández, A.; Sánchez-Morales, L.N.; Cruz-Ramos, N.A.; Alor-Hernández, G. Wearables for Engagement Detection in Learning Environments: A Review. Biosensors 2022, 12, 509. https:// doi.org/10.3390/bios12070509es
dc.identifier.issn2079-6374
dc.identifier.otherhttps:// doi.org/10.3390/bios12070509
dc.identifier.urihttp://repositorios.orizaba.tecnm.mx:8080/xmlui/handle/123456789/707
dc.descriptionAppropriate 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.es
dc.description.abstractAppropriate 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.es
dc.description.sponsorshipTECNM CONACYT PRODEPes
dc.language.isoen_USes
dc.publisherMDPI Publishinges
dc.relation.ispartofseriesBiosensors;
dc.subjectengagement detectiones
dc.subjectlearning environmentses
dc.subjectphysiological signalses
dc.subjectsensorses
dc.subjectWearableses
dc.titleWearables for Engagement Detection in Learning Environments: A Reviewes
dc.typeArticlees


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