Special Issue "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: 31 January 2020

Special Issue Editor

Guest Editor
Dr. Sergio Martin

Electrical and Computer Engineering Department, National Distance Education University, 28040 Madrid, Spain
Website | E-Mail
Interests: Internet of Things; technology-enhanced learning; remote laboratories; mobile and ubiquitous technologies

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.

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 papers will be 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 quarterly 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 350 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

Published Papers (3 papers)

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Research

Open AccessFeature PaperArticle
Web of Things Platforms for Distance Learning Scenarios in Computer Science Disciplines: A Practical Approach
Technologies 2019, 7(1), 17; https://doi.org/10.3390/technologies7010017
Received: 1 November 2018 / Revised: 14 January 2019 / Accepted: 19 January 2019 / Published: 27 January 2019
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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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Open AccessArticle
Co-Designing the Kits of IoT Devices for Inquiry-Based Learning in STEM
Technologies 2019, 7(1), 16; https://doi.org/10.3390/technologies7010016
Received: 22 October 2018 / Revised: 27 December 2018 / Accepted: 12 January 2019 / Published: 24 January 2019
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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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Open AccessArticle
A Comprehensive Review of RFID and Bluetooth Security: Practical Analysis
Technologies 2019, 7(1), 15; https://doi.org/10.3390/technologies7010015
Received: 6 December 2018 / Revised: 19 January 2019 / Accepted: 21 January 2019 / Published: 24 January 2019
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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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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Internet of Energy training through remotable laboratory demonstrators
Authors: Capasso, Clemente; Veneri, Ottorino *; Assante, Dario
Affiliation:
1. Istituto Motori - National Research Council of Italy, Via G. Marconi 4 - Naples, Italy
2. International Telematic University UNINETTUNO Roma, Italy
Abstract: In this paper a learning methodology is proposed to train professional figures, such as engineers and technicians, who want to improve their skills in the field of Internet of Energy. This methodology is based on laboratory facilities, which are configured to be remotely controlled, useful to organize specific courses for people working in the field of energy. This new concept of training is mainly focused on the basic concepts related to smart grids, renewable energy sources, electrochemical storage systems, electric vehicles. The proposed methodology aims to cover the lack of experimental knowledge and skills on new energy systems, to deal with new challenges related to growing global energy request and smart energy management in the new complex distributed configuration of the electric power systems, characterized by demand response services.

Title: IoT Remote Lab: Raspberry + Arduino
Authors: Atilano Fernández-Pacheco Sánchez-Migallón
Abstract: Lately it is raising the importance that educational entities (Universities, Training in companies, etc) have available with remote labs. It is necessary that students have instrument whose give to them autonomy and flexibility. Furthermore those labs must be intensively used and with low OPEX. 
IoT has gone over from expectation since few years ago to a fact nowadays. Therefore it is vital would deploy labs where is possible to learn and train simple and real examples. 
In this paper will explain how to deploy a remote lab consisting of a Raspeberry PI and Arduino boards with internet connection. Raspberry will be the server where will host the logic of lab and Arduino boards acting as sensors. It will define lab architecture, connections among different system and the characteristics required of lab so that can be categorized as a genuine example of IoT. Lastly, it will show a small example with Arduino boards simulating sensors who sending data.

 

 

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