Enhancing Lessons on the Internet of Things in Science, Technology, Engineering, and Medical Education with a Remote Lab

Integrating remote Internet of Things (IoT) laboratories into project-based learning (PBL) in higher education institutions (HEIs) while exploiting the approach of technology-enhanced learning (TEL) is a challenging yet pivotal endeavor. Our proposed approach enables students to interact with an IoT-equipped lab locally and remotely, thereby bridging theoretical knowledge with practical application, creating a more immersive, adaptable, and effective learning experience. This study underscores the significance of combining hardware, software, and coding skills in PBL, emphasizing how IoTRemoteLab (the remote lab we developed) supports a customized educational experience that promotes innovation and safety. Moreover, we explore the potential of IoTRemoteLab as a TEL, facilitating and supporting the understanding and definition of the requirements of remote learning. Furthermore, we demonstrate how we incorporate generative artificial intelligence into IoTRemoteLab's settings, enabling personalized recommendations for students leveraging the lab locally or remotely. Our approach serves as a model for educators and researchers aiming to equip students with essential skills for the digital age while addressing broader issues related to access, engagement, and sustainability in HEIs. The practical findings following an in-class experiment reinforce the value of IoTRemoteLab and its features in preparing students for future technological demands and fostering a more inclusive, safe, and effective educational environment.

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Publication Details

Journal
Sensors
Published
2024-10-04
DOI
https://doi.org/10.3390/s24196424
Citations
6
Primary Topic
Biomedical and Engineering Education
Type
article
Field-Weighted Citation Impact
1.11
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article

Enhancing Lessons on the Internet of Things in Science, Technology, Engineering, and Medical Education with a Remote Lab

Mariusz Cholewa, A. B. Sagar, Giovanni Berselli, Maria Rosienkiewicz et al.
6 citations
Sensors
Biomedical and Engineering Education
1.11
article

Enhancing Lessons on the Internet of Things in Science, Technology, Engineering, and Medical Education with a Remote Lab

Mariusz Cholewa, A. B. Sagar, Giovanni Berselli, Maria Rosienkiewicz, José Francisco Gómez‐González, Mateusz Molasy, Maxime Bourgain, Sofia Amador Nelke, Arriel Benis, Daniel Blank, Michael Winokur, Joanna Helman, Dan Kohen-Vacs, Michael Khomyakov, Anna Górecka
article en
6 citations

Abstract

Integrating remote Internet of Things (IoT) laboratories into project-based learning (PBL) in higher education institutions (HEIs) while exploiting the approach of technology-enhanced learning (TEL) is a challenging yet pivotal endeavor. Our proposed approach enables students to interact with an IoT-equipped lab locally and remotely, thereby bridging theoretical knowledge with practical application, creating a more immersive, adaptable, and effective learning experience. This study underscores the significance of combining hardware, software, and coding skills in PBL, emphasizing how IoTRemoteLab (the remote lab we developed) supports a customized educational experience that promotes innovation and safety. Moreover, we explore the potential of IoTRemoteLab as a TEL, facilitating and supporting the understanding and definition of the requirements of remote learning. Furthermore, we demonstrate how we incorporate generative artificial intelligence into IoTRemoteLab's settings, enabling personalized recommendations for students leveraging the lab locally or remotely. Our approach serves as a model for educators and researchers aiming to equip students with essential skills for the digital age while addressing broader issues related to access, engagement, and sustainability in HEIs. The practical findings following an in-class experiment reinforce the value of IoTRemoteLab and its features in preparing students for future technological demands and fostering a more inclusive, safe, and effective educational environment.

SensorsVol. 24(19)
Centria University of Applied Sciences (FI), Wrocław University of Science and Technology (PL), Holon Institute of Technology (IL), Universidad de La Laguna (ES), Arts et Métiers (FR), Ono Academic College (IL), Italian Institute of Technology (IT), Centre of Technology Transfer Emag (Poland) (PL), EPF - École d'ingénieurs (FR), Universidad Blas Pascal (AR), Institut de Biomécanique Humaine Georges Charpak (FR), AGH University of Krakow (PL), University of Genoa (IT)
Industry, innovation and infrastructure
Openalex Percentile: Top 24%
Biomedical and Engineering Education
1.11
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