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

Sofia Amador Nelke1,2, Dan Kohen-Vacs3, Michael Khomyakov1

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This study introduces IoTRemoteLab, integrating remote Internet of Things (IoT) laboratories into project-based learning (PBL) for higher education. The system enhances learning through blended local and remote access, personalized AI recommendations, and skill development for the digital age.

Keywords:
educationeducational technologyformative feedbackgenerative artificial intelligencehands-on learninginteractive learninginternet of thingsproject-based learningremote laboratorytechnology-enhanced learninguser–computer interface

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Area of Science:

  • Educational Technology
  • Computer Science
  • Engineering Education

Background:

  • Integrating remote laboratories into higher education institutions (HEIs) presents challenges.
  • Technology-enhanced learning (TEL) offers potential solutions for practical skill acquisition.
  • Project-based learning (PBL) requires effective tools for bridging theory and practice.

Purpose of the Study:

  • To develop and evaluate IoTRemoteLab, a system for remote Internet of Things (IoT) laboratory access within PBL.
  • To explore the use of IoTRemoteLab as a technology-enhanced learning (TEL) tool.
  • To investigate the integration of generative artificial intelligence (AI) for personalized learning recommendations.

Main Methods:

  • Development of IoTRemoteLab, an IoT-equipped laboratory accessible locally and remotely.
  • Implementation of PBL incorporating IoTRemoteLab for hardware, software, and coding skill development.
  • Integration of generative AI for personalized student recommendations within the learning environment.
  • Conducting an in-class experiment to assess the system's effectiveness.

Main Results:

  • IoTRemoteLab facilitates a customized, immersive, and effective learning experience by combining theoretical knowledge with practical application.
  • The system supports the development of essential hardware, software, and coding skills crucial for the digital age.
  • Generative AI integration provides personalized learning recommendations, enhancing student engagement and adaptability.
  • In-class experiment findings validate IoTRemoteLab's value in preparing students for future technological demands.

Conclusions:

  • IoTRemoteLab serves as a valuable model for HEIs seeking to enhance PBL through remote IoT laboratory access and TEL.
  • The approach promotes innovation, safety, and inclusivity in educational settings.
  • IoTRemoteLab effectively addresses requirements for remote learning and equips students with critical 21st-century skills.