Experiential Learning in Biomedical Engineering Education Using Wearable Devices: A Case Study in a Biomedical Signals and Systems Analysis Course

Biomedical engineering (BME) is one of the fastest-growing engineering fields worldwide. BME professionals are extensively employed in the health technology and healthcare industries. Hence, their education must prepare them to face the challenge of a rapidly evolving technological environment. Biom...

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Main Authors: Luis Montesinos, Alejandro Santos-Diaz, David E. Salinas-Navarro, Leopoldo Cendejas-Zaragoza
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Education Sciences
Subjects:
Online Access:https://www.mdpi.com/2227-7102/12/9/598
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author Luis Montesinos
Alejandro Santos-Diaz
David E. Salinas-Navarro
Leopoldo Cendejas-Zaragoza
author_facet Luis Montesinos
Alejandro Santos-Diaz
David E. Salinas-Navarro
Leopoldo Cendejas-Zaragoza
author_sort Luis Montesinos
collection DOAJ
description Biomedical engineering (BME) is one of the fastest-growing engineering fields worldwide. BME professionals are extensively employed in the health technology and healthcare industries. Hence, their education must prepare them to face the challenge of a rapidly evolving technological environment. Biomedical signals and systems analysis is essential to BME undergraduate education. Unfortunately, students often underestimate the importance of their courses as they do not perceive these courses’ practical applications in their future professional practice. In this study, we propose using blended learning spaces to develop new learning experiences in the context of a biomedical signals and systems analysis course to enhance students’ motivation and interest and the relevance of the materials learned. We created a learning experience based on wearable devices and cloud-based collaborative development environments such that the students turned daily-life scenarios into experiential learning spaces. Overall, our results suggest a positive impact on the students’ perceptions of their learning experience concerning relevance, motivation, and interest. Namely, the evidence shows a reduction in the variability of such perceptions. However, further research must confirm this potential impact. This confirmation is required given the monetary and time investment this pedagogical approach would require if it were to be implemented at a larger scale.
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spelling doaj.art-18804e7e47c44e94ad011789144f90382023-11-23T15:55:41ZengMDPI AGEducation Sciences2227-71022022-09-0112959810.3390/educsci12090598Experiential Learning in Biomedical Engineering Education Using Wearable Devices: A Case Study in a Biomedical Signals and Systems Analysis CourseLuis Montesinos0Alejandro Santos-Diaz1David E. Salinas-Navarro2Leopoldo Cendejas-Zaragoza3Institute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, Mexico City 14380, MexicoSchool of Engineering and Sciences, Tecnologico de Monterrey, Mexico City 14380, MexicoAston Business School, Aston University, Birmingham B4 7ER, UKNeuroscience Institute, Summa Health System, Akron, OH 44304, USABiomedical engineering (BME) is one of the fastest-growing engineering fields worldwide. BME professionals are extensively employed in the health technology and healthcare industries. Hence, their education must prepare them to face the challenge of a rapidly evolving technological environment. Biomedical signals and systems analysis is essential to BME undergraduate education. Unfortunately, students often underestimate the importance of their courses as they do not perceive these courses’ practical applications in their future professional practice. In this study, we propose using blended learning spaces to develop new learning experiences in the context of a biomedical signals and systems analysis course to enhance students’ motivation and interest and the relevance of the materials learned. We created a learning experience based on wearable devices and cloud-based collaborative development environments such that the students turned daily-life scenarios into experiential learning spaces. Overall, our results suggest a positive impact on the students’ perceptions of their learning experience concerning relevance, motivation, and interest. Namely, the evidence shows a reduction in the variability of such perceptions. However, further research must confirm this potential impact. This confirmation is required given the monetary and time investment this pedagogical approach would require if it were to be implemented at a larger scale.https://www.mdpi.com/2227-7102/12/9/598biomedical engineeringengineering educationexperiential learningwearable technologywearable deviceshigher education
spellingShingle Luis Montesinos
Alejandro Santos-Diaz
David E. Salinas-Navarro
Leopoldo Cendejas-Zaragoza
Experiential Learning in Biomedical Engineering Education Using Wearable Devices: A Case Study in a Biomedical Signals and Systems Analysis Course
Education Sciences
biomedical engineering
engineering education
experiential learning
wearable technology
wearable devices
higher education
title Experiential Learning in Biomedical Engineering Education Using Wearable Devices: A Case Study in a Biomedical Signals and Systems Analysis Course
title_full Experiential Learning in Biomedical Engineering Education Using Wearable Devices: A Case Study in a Biomedical Signals and Systems Analysis Course
title_fullStr Experiential Learning in Biomedical Engineering Education Using Wearable Devices: A Case Study in a Biomedical Signals and Systems Analysis Course
title_full_unstemmed Experiential Learning in Biomedical Engineering Education Using Wearable Devices: A Case Study in a Biomedical Signals and Systems Analysis Course
title_short Experiential Learning in Biomedical Engineering Education Using Wearable Devices: A Case Study in a Biomedical Signals and Systems Analysis Course
title_sort experiential learning in biomedical engineering education using wearable devices a case study in a biomedical signals and systems analysis course
topic biomedical engineering
engineering education
experiential learning
wearable technology
wearable devices
higher education
url https://www.mdpi.com/2227-7102/12/9/598
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