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

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.

Department

Description

Provenance

Subjects

Humans, Science, Education, Distance, Education, Medical, Engineering, Technology, Artificial Intelligence, Software, Laboratories, Internet of Things

Citation

Published Version (Please cite this version)

10.3390/s24196424

Publication Info

Amador Nelke, Sofia, Dan Kohen-Vacs, Michael Khomyakov, Maria Rosienkiewicz, Joanna Helman, Mariusz Cholewa, Mateusz Molasy, Anna Górecka, et al. (2024). Enhancing Lessons on the Internet of Things in Science, Technology, Engineering, and Medical Education with a Remote Lab. Sensors (Basel, Switzerland), 24(19). p. 6424. 10.3390/s24196424 Retrieved from https://hdl.handle.net/10161/33083.

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Scholars@Duke

Benis

Arriel Benis

Adjunct Associate Professor in the Department of Biomedical Engineering

Dr. Arriel Benis is a researcher and educator working at the intersection of medical informatics, digital health, and artificial intelligence, advancing health systems and biomedical engineering innovation. His work leverages AI, data science, and knowledge management to improve health-related decision-making at the individual, population, and public health levels.

His research focuses on developing data-driven healthcare solutions that enhance patient care, optimize clinical processes, and promote sustainable systems. Dr. Benis has engineered (a) clinical decision support systems with direct patient and healthcare partitioners impact such as ADHD, PTSD, and diabetes patient management and health communication, (b) MIMO -the Medical Informatics and Digital Health Multilingual Ontology- integrating more than 3500 terms and concepts across 30+ languages, actively deployed in healthcare organizations for AI-powered training and international projects support, (c) smart home and smart city health monitoring approach from a One Health viewpoint. Dr. Benis is a pioneer of the One Digital Health framework, which strategically links digital health innovation with environmental monitoring.

His past academic positions include serving as a department head and track director in biomedical and health informatics. He holds various leadership roles in the international medical informatics community, is a fellow of the International Academy for Health Sciences Informatics, and is the Editor-in-Chief of JMIR Medical Informatics. Dr. Benis is committed to training the next generation of innovators in digital health and medical informatics.


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