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Implementing an Internet of Things-based learning platform into medical education

Addressing educational challenges with innovative solutions

Bibliographic Data

ID21447358
AuthorsHaniye Mastour (0000-0003-4893-0998, Shahid Beheshti University of Medical Sciences), Zohreh Khoshgoftar (0000-0002-8178-2619, Shahid Beheshti University of Medical Sciences), Soleiman Ahmady (0000-0003-0551-6068, Shahid Beheshti University of Medical Sciences), Somaye Sohrabi (0000-0001-5541-2422, Shahid Beheshti University of Medical Sciences, corresponding author)
Year2025
Volume47
Issue8
Pages1262-1265
Publication date2025-08-03
Open AccessNo
TypeARTICLE
VenueMedical Teacher (JOURNAL)
Journal identifiersISSN: 0142-159X • E-ISSN: 1466-187X
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/0142159x.2024.2445036
PMID39773016
OpenAlexW4406185531
LanguageEN
References cited4

The Internet of Things (IoT) represents a paradigm shift in medical education, offering solutions to long-standing educational challenges. IoT-based systems provide real-time data, simulate clinical environments, and enable personalized learning, critical for preparing future healthcare professionals. This study implemented an IoT-based learning platform for a preclinical Doctor of Medicine (MD) course launched for 56 third-year students in a medical school from a developing country. This IoT-enabled learning environment provided students with active, hands-on learning activities that simulated real-world clinical practice. In all, the application of IoT in medical education has revolutionized it into something much more effective, engaging, and student-centered. As an innovative attempt, sharing this process at an early stage of development may inspire enthusiasm for implementing this approach and open the field for further development

Enthusiasm · Field (mathematics) · Internet of Things · Knowledge management · Medical education · Multimedia · Process (computing) · The Internet · World Wide Web · Biomedical and Engineering Education · Computer Science · Medicine · Mobile Health and mHealth Applications · Mobile Learning in Education · Psychology

  • Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology

    Fred D Davis•MIS Quarterly•1989

Highly citedNo

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