Experiential Learning in Biomedical Engineering Education Using Wearable Devices: A Case Study in a Biomedical Signals and Systems Analysis Course
Journal
Education Sciences
ISSN
2227-7102
Publisher
MDPI
Date Issued
2022
Author(s)
Montesinos, Luis
Santos-Diaz, Alejandro
Aston University
Cendejas-Zaragoza, Leopoldo
Type
Resource Types::text::Non-primary product
Abstract
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. ©MDPI, The authors.
License
Acceso Abierto
How to cite
Montesinos L, Santos-Diaz A, Salinas-Navarro DE, Cendejas-Zaragoza L. Experiential Learning in Biomedical Engineering Education Using Wearable Devices: A Case Study in a Biomedical Signals and Systems Analysis Course. Education Sciences. 2022; 12(9):598. https://doi.org/10.3390/educsci12090598