Wearable Biosensor Technology in Education: A Systematic Review Article Swipe
María A. Hernández-Mustieles
,
Yoshua E. Lima-Carmona
,
Maxine A. Pacheco-Ramírez
,
Axel A. Mendoza-Armenta
,
José Esteban Romero-Gómez
,
César F. Cruz-Gómez
,
Diana C. Rodríguez-Alvarado
,
Jesús G. Cruz-Garza
,
Alejandro Arceo
,
Mauricio A. Ramírez-Moreno
,
Jorge de J. Lozoya-Santos
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.20944/preprints202403.0831.v1
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.20944/preprints202403.0831.v1
Wearable Biosensor Technology (WBT) has emerged as a transformative tool in the educational system over the past decade. This systematic review encompasses a comprehensive analysis of WBT utilization in educational settings over a 10-year span (2012-2022), highlighting both the evolution of this field and its integration to address challenges in education by integrating technology to solve specific educational challenges, such as enhancing student engagement, monitoring stress and cognitive load, improving learning experiences, and providing real-time feedback for both students and educators. By exploring these aspects, the review sheds light on the potential implications of WBT for the future of learning. A rigorous and systematic search of major academic databases, including Google Scholar and Scopus, was conducted in accordance with PRISMA guidelines. Relevant studies were selected based on predefined inclusion and exclusion criteria. The articles selected were assessed for methodological quality and bias using established tools. The process of data extraction and synthesis followed a structured framework. Key findings include the shift from theoretical exploration to practical implementation with the EEG being the predominant measurement, aiming to explore mental states, physiological constructs, and teaching effectiveness. Wearable biosensors are significantly impacting the educational field, serving as an important resource for educators and a tool for students. Their application has the potential to transform and optimize academic practices through sensors that capture biometric data, enabling the implementation of metrics and models to understand the development and performance of students and professors in an academic environment, as well as to gain insights into the learning process.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.20944/preprints202403.0831.v1
- https://www.preprints.org/manuscript/202403.0831/v1/download
- OA Status
- green
- Cited By
- 13
- References
- 140
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392817094
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4392817094Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.20944/preprints202403.0831.v1Digital Object Identifier
- Title
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Wearable Biosensor Technology in Education: A Systematic ReviewWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-03-14Full publication date if available
- Authors
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María A. Hernández-Mustieles, Yoshua E. Lima-Carmona, Maxine A. Pacheco-Ramírez, Axel A. Mendoza-Armenta, José Esteban Romero-Gómez, César F. Cruz-Gómez, Diana C. Rodríguez-Alvarado, Jesús G. Cruz-Garza, Alejandro Arceo, Mauricio A. Ramírez-Moreno, Jorge de J. Lozoya-SantosList of authors in order
- Landing page
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https://doi.org/10.20944/preprints202403.0831.v1Publisher landing page
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https://www.preprints.org/manuscript/202403.0831/v1/downloadDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.preprints.org/manuscript/202403.0831/v1/downloadDirect OA link when available
- Concepts
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Wearable computer, Biosensor, Wearable technology, Computer science, Nanotechnology, Embedded system, Materials scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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13Total citation count in OpenAlex
- Citations by year (recent)
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2025: 6, 2024: 7Per-year citation counts (last 5 years)
- References (count)
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140Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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