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

Article dans une revue avec comité de lecture
Auteur
ccAMADOR NELKE, Sofia
351843 Holon Institut of Technology [HIT]
ccKOHEN-VACS, Dan
351843 Holon Institut of Technology [HIT]
KHOMYAKOV, Michael
351843 Holon Institut of Technology [HIT]
ccROSIENKIEWICZ, Maria
461233 Wroclaw University of Science and Technology = Politechnika Wroclawska [Wrocław]
HELMAN, Joanna
461233 Wroclaw University of Science and Technology = Politechnika Wroclawska [Wrocław]
CHOLEWA, Mariusz
461233 Wroclaw University of Science and Technology = Politechnika Wroclawska [Wrocław]
ccMOLASY, Mateusz
461233 Wroclaw University of Science and Technology = Politechnika Wroclawska [Wrocław]
GÓRECKA, Anna
461233 Wroclaw University of Science and Technology = Politechnika Wroclawska [Wrocław]
GOMEZ-GONZALEZ, José Francisco
ccBOURGAIN, Maxime
1174926 EPF-Ecole d'Ingénieurs Cachan
1001017 Institut de Biomécanique Humaine Georges Charpak [IBHGC]
ccSAGAR, Athith
BERSELLI, Giovanni
BLANK, Daniel
WINOKUR, Michael
ccBENIS, Arriel
351843 Holon Institut of Technology [HIT]

URI
http://hdl.handle.net/10985/26166
DOI
10.3390/s24196424
Date
2024-10
Journal
Sensors

Résumé

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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