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Technology Advances in IoT Learning and Teaching

This special issue belongs to the section “Information and Communication Technologies“.

Special Issue 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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Technologies is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • 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

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Technologies - ISSN 2227-7080