Topical Collection "Technology Advances on IoT Learning and Teaching"

A topical collection in Technologies (ISSN 2227-7080). This collection belongs to the section "Information and Communication Technologies".

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Electrical and Computer Engineering Department, National Distance Education University, 28040 Madrid, Spain
Interests: Internet of Things; technology-enhanced learning; remote laboratories; mobile and ubiquitous technologies
Special Issues, Collections and Topics in MDPI journals
Laboratory of Robotics, Embedded and Integrated Systems, Department of Electrical and Computer Engineering, University of Western Macedonia, 50100 Kozani, Greece
Interests: machine learning; control systems; robotics; fuzzy systems

Topical Collection Information

Dear Colleagues,

The Internet of Things (IoT) is widely considered as one of the key drivers of the digital transformation of society and implementation of the so-called Industry 4.0. IoT not only has a huge social impact but can also support employability and boost the competitiveness of companies. Relevant impacts of this technology are expected in a wide range of sectors.

The rapid diffusion of IoT technologies has created an important educational challenge, namely the need to train a large number of professionals able to design and manage a quickly evolving and complex ecosystem. Thus, an important research effort is being carried out in innovative technologies (simulators, virtual and remote labs, mobile apps, robotics, e-learning platforms, gamification, learning analytics, etc.) applied to innovative teaching practices.

This Special Issue focuses on all the technologies involved in improving the teaching and learning process of some of the IoT-related topics such as sensors, devices, protocols, platforms, services or data analysis, among others.

Dr. Sergio Martin
Prof. Dr. George F. Fragulis
Collection Editors

Manuscript Submission Information

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  • virtual laboratories for IoT
  • remote laboratories for IoT
  • IoT simulators
  • IoT demonstrators
  • mobile apps for IoT learning
  • innovative teaching practices
  • gamification
  • learning analytics
  • open educational resources and repositories for IoT learning
  • platforms for IoT learning
  • big data

Related Special Issue

Published Papers

This collection is now open for submission.
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