Special Issue "Technology Advances on IoT Learning and Teaching"
Deadline for manuscript submissions: 31 January 2020
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
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.
- Virtual laboratories for IoT
- Remote laboratories for IoT
- IoT simulators
- IoT demonstrators
- Mobile apps for IoT learning
- Innovative teaching practices
- Learning analytics
- Flipped classroom
- Open Educational Resources and Repositories for IoT learning
- Platforms for IoT learning
- Big Data
- DIY/Maker experiences
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
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.
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.