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Technologies
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Technology Advances on IoT Learning and Teaching
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Technology Advances on IoT Learning and Teaching

A special issue of Technologies (ISSN 2227-7080). This special issue belongs to the section "Information and Communication Technologies".

Deadline for manuscript submissions: closed (31 January 2020) | Viewed by 43623

Special Issue Editor

Prof. Dr. Sergio Martin Gutiérrez

E-Mail Website
Guest Editor
Electrical and Computer Engineering Department, National Distance Education University, 28040 Madrid, Spain
Interests: ad hoc networks; aquatic surface vehicles deployment; unmanned aerial vehicle fleet; path planning techniques; machine and deep learning; reinforcement learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) is widely considered as the next step towards a digital society, where objects and people are interconnected and interact through communication networks. IoT not only has a huge social impact, but can also support employability and boost the competitiveness of companies. It is widely considered as one of the most important key drivers for the implementation of the so-called Industry 4.0 and for the digital transformation of the 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 done 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.

Prof. Dr. Sergio Martin
Guest Editor

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 100 words) can be sent to the Editorial Office for announcement on this website.

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
  • flipped classroom
  • open educational resources and repositories for IoT learning
  • platforms for IoT learning
  • LMS
  • big data
  • DIY/Maker experiences

Related Special Issue

Published Papers (6 papers)

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Editorial

Jump to: Research

2 pages, 170 KiB  
Editorial
Internet of Things Learning and Teaching
by Sergio Martin
Technologies 2021, 9(1), 7; https://doi.org/10.3390/technologies9010007 - 18 Jan 2021
Cited by 3 | Viewed by 1932
Abstract
The Internet of Things (IoT) is widely considered as the next step towards a digital society, where objects and people are interconnected and interact through communication networks [...] Full article
(This article belongs to the Special Issue Technology Advances on IoT Learning and Teaching)

Research

Jump to: Editorial

23 pages, 1429 KiB  
Article
ThingsLocate: A ThingSpeak-Based Indoor Positioning Platform for Academic Research on Location-Aware Internet of Things
by Luca De Nardis, Giuseppe Caso and Maria Gabriella Di Benedetto
Technologies 2019, 7(3), 50; https://doi.org/10.3390/technologies7030050 - 16 Jul 2019
Cited by 14 | Viewed by 8282
Abstract
Seamless location awareness is considered a cornerstone in the successful deployment of the Internet of Things (IoT). Support for IoT devices in indoor positioning platforms and, vice versa, availability of indoor positioning functions in IoT platforms, are however still in their early stages, [...] Read more.
Seamless location awareness is considered a cornerstone in the successful deployment of the Internet of Things (IoT). Support for IoT devices in indoor positioning platforms and, vice versa, availability of indoor positioning functions in IoT platforms, are however still in their early stages, posing a significant challenge in the study and research of the interaction of indoor positioning and IoT. This paper proposes a new indoor positioning platform, called ThingsLocate, that fills this gap by building upon the popular and flexible ThingSpeak cloud service for IoT, leveraging its data input and data processing capabilities and, most importantly, its native support for cloud execution of Matlab code. ThingsLocate provides a flexible, user-friendly WiFi fingerprinting indoor positioning service for IoT devices, based on Received Signal Strength Indicator (RSSI) information. The key components of ThingsLocate are introduced and described: RSSI channels used by IoT devices to provide WiFi RSSI data, an Analysis app estimating the position of the device, and a Location channel to publish such estimate. A proof-of-concept implementation of ThingsLocate is then introduced, and used to show the possibilities offered by the platform in the context of graduate studies and academic research on indoor positioning for IoT. Results of an experiment enabled by ThingsLocate with limited setup and no coding effort are presented, focusing on the impact of using different devices and different positioning algorithms on positioning accuracy. Full article
(This article belongs to the Special Issue Technology Advances on IoT Learning and Teaching)
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11 pages, 2961 KiB  
Article
Internet of Energy Training through Remote Laboratory Demonstrator
by Dario Assante, Clemente Capasso and Ottorino Veneri
Technologies 2019, 7(3), 47; https://doi.org/10.3390/technologies7030047 - 27 Jun 2019
Cited by 10 | Viewed by 6494
Abstract
In this paper, a new learning tool is proposed to train professional figures, such as entrepreneurs, engineers, and technicians, who need to improve their skills in the field of Internet of Energy. The proposed tool aims to cover the lack of experimental knowledge [...] Read more.
In this paper, a new learning tool is proposed to train professional figures, such as entrepreneurs, engineers, and technicians, who need to improve their skills in the field of Internet of Energy. The proposed tool aims to cover the lack of experimental knowledge on new energy systems and to layer proper skills, which are useful to deal with challenges required by smart energy management in the new complex distributed configuration of the electric power systems, characterized by demand response services. This tool is based on a small-scale laboratory demonstrator, representative of a smart rural house, equipped with a measurement and control system. This demonstrator can be remotely accessed, through web server applications based on a low cost single-board computer. Trainers can have direct experience on the main concepts related to smart grids, renewable energy sources, electrochemical storage systems, and electric vehicles, through the use of the proposed tool managed by the web software interface. Full article
(This article belongs to the Special Issue Technology Advances on IoT Learning and Teaching)
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20 pages, 3339 KiB  
Article
Web of Things Platforms for Distance Learning Scenarios in Computer Science Disciplines: A Practical Approach
by Llanos Tobarra, Antonio Robles-Gómez, Rafael Pastor, Roberto Hernández, Jesús Cano and Daniel López
Technologies 2019, 7(1), 17; https://doi.org/10.3390/technologies7010017 - 27 Jan 2019
Cited by 9 | Viewed by 6026
Abstract
Problem-based learning is a widely used learning methodology in the field of technological disciplines, especially in distance education environments. In these environments, the most used tools, which provide learning scenarios, are remote and virtual laboratories. Internet of Things (IoT) devices can be used [...] Read more.
Problem-based learning is a widely used learning methodology in the field of technological disciplines, especially in distance education environments. In these environments, the most used tools, which provide learning scenarios, are remote and virtual laboratories. Internet of Things (IoT) devices can be used as remote or virtual laboratories. In addition to this, they can be organized/orchestrated to build remote maker spaces through the web. These types of spaces are called the Web of Things (WoT). This paper proposes the use of these types of spaces and their integration as practical activities into the curricula of technological subjects. This approach will allow us to achieve two fundamental objectives: (1) To improve the academic results (grades) of students; and (2) to increase engagement and interest of students in the studied technologies, including IoT devices. These platforms are modeled using archetypes based on different typologies and usage scenarios. In particular, these usage scenarios will implement a learning strategy for each problem to be solved. The current work shows the evolution of these archetypes and their application in the teaching of disciplines/subjects defined in computer science, such as distributed computing and cybersecurity. Full article
(This article belongs to the Special Issue Technology Advances on IoT Learning and Teaching)
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10 pages, 474 KiB  
Article
Co-Designing the Kits of IoT Devices for Inquiry-Based Learning in STEM
by Marge Kusmin
Technologies 2019, 7(1), 16; https://doi.org/10.3390/technologies7010016 - 24 Jan 2019
Cited by 9 | Viewed by 7569
Abstract
The rapidly developing technological landscape challenges require educational institutions to constantly renew the school’s digital infrastructure in order to keep students engaged in learning difficult subjects such as Science, Technology, Engineering, and Mathematics (STEM). The Internet of Things (IoT) is one of such [...] Read more.
The rapidly developing technological landscape challenges require educational institutions to constantly renew the school’s digital infrastructure in order to keep students engaged in learning difficult subjects such as Science, Technology, Engineering, and Mathematics (STEM). The Internet of Things (IoT) is one of such new technology platforms that could help the schools enhance learning processes with innovative resources, and to increase students’ motivation to learn. This paper summarizes the first stage of a design-based research focusing on introducing IoT technologies to secondary education. Five kits of IoT devices were co-designed by researchers, teachers, and students, to optimize their match with the curricular objectives, cost, learning curve, and re-usability in various educational contexts. The study included three steps: (1) mapping out the IoT devices on the basis of the desk research, (2) literature review on STEM education practices, and (3) two focus group interviews with teachers and students from different schools. As a result of the study, five different kits of IoT devices were purchased for schools and pilot-tested in real-life settings. Full article
(This article belongs to the Special Issue Technology Advances on IoT Learning and Teaching)
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29 pages, 10715 KiB  
Article
A Comprehensive Review of RFID and Bluetooth Security: Practical Analysis
by Santiago Figueroa Lorenzo, Javier Añorga Benito, Pablo García Cardarelli, Jon Alberdi Garaia and Saioa Arrizabalaga Juaristi
Technologies 2019, 7(1), 15; https://doi.org/10.3390/technologies7010015 - 24 Jan 2019
Cited by 19 | Viewed by 12473
Abstract
The Internet of Things (IoT) provides the ability to digitize physical objects into virtual data, thanks to the integration of hardware (e.g., sensors, actuators) and network communications for collecting and exchanging data. In this digitization process, however, security challenges need to be taken [...] Read more.
The Internet of Things (IoT) provides the ability to digitize physical objects into virtual data, thanks to the integration of hardware (e.g., sensors, actuators) and network communications for collecting and exchanging data. In this digitization process, however, security challenges need to be taken into account in order to prevent information availability, integrity, and confidentiality from being compromised. In this paper, security challenges of two broadly used technologies, RFID (Radio Frequency Identification) and Bluetooth, are analyzed. First, a review of the main vulnerabilities, security risk, and threats affecting both technologies are carried out. Then, open hardware and open source tools like: Proxmark3 and Ubertooth as well as BtleJuice and Bleah are used as part of the practical analysis. Lastly, risk mitigation and counter measures are proposed. Full article
(This article belongs to the Special Issue Technology Advances on IoT Learning and Teaching)
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