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

Sofia Amador Nelke, Dan Kohen-Vacs, Michael Khomyakov, Maria Rosienkiewicz, Joanna Helman, Mariusz Cholewa, Mateusz Molasy, Anna Górecka, José Francisco Gómez-González, Maxime Bourgain, Athith Sagar, Giovanni Berselli, Daniel Blank, Michael Winokur, Arriel Benis

Research output: Contribution to journalArticlepeer-review

1 Scopus 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.

Original languageEnglish
Article number6424
JournalSensors
Volume24
Issue number19
DOIs
StatePublished - 1 Oct 2024
Externally publishedYes

Keywords

  • education
  • educational technology
  • formative feedback
  • generative artificial intelligence
  • hands-on learning
  • interactive learning
  • internet of things
  • project-based learning
  • remote laboratory
  • technology-enhanced learning
  • user–computer interface

ASJC Scopus subject areas

  • Analytical Chemistry
  • Information Systems
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering

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