Electronics (SI Open Souce Learning) 2021 : Electronics Special issue: Open Source Software in Learning Environments (IF 2.412, ISSN 2079-9292)
Call For Papers
It has been more than 30 years since the first version of the GPL license was published, providing legal support to the “shared source” movement that had been around years before. In this time, the enthusiasm and initiative of computer programmers in academic workplaces became a reference for the big actors in the software industry. At present we can find open source projects leading a wide range of fields, from small autonomous devices to supercomputing clusters, including web servers or smartphones.
The process of integrating information and communication technology solutions in educational processes also started decades ago. The initial solutions based on isolated learning management systems became integrated learning environments enabling gamification options and massive collaboration. At the same time, educational processes took advantage of the adoption of virtual worlds, serious games, and virtual/augmented reality technologies. Recently, the COVID-19 pandemic has fostered the adoption of cutting-edge online solutions like smart educational platforms, remote laboratories, personalized learning environments, intelligent tutoring agents, and adaptive systems.
Open source software features like customization, reduced adoption cost, interoperability, continuous improvement cycle, peer-review development methodology, and community support make it especially interesting for educational processes. This Special Issue focuses on educational experiences where free/libre/open source software provides a key value. We invite investigators to contribute original research articles as well as review works on any educational level or context.
Topics of interest include, but are not limited to:
* Open source software in education;
* Technology-enhanced learning based on open systems;
* Best practices of open collaboration for online education;
* Challenges for the adoption of open source solutions in educational contexts;
* Smart open source environments and educational trends;
* Open source methodologies and ICT education;
* Case studies of education based on open communities;
* Open source and inclusive learning;
* The role of open technologies in educational digital divide.
Prof. Dr. Manuel Palomo-Duarte
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. Electronics 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 1500 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.
* Open source software
* Technology-enhanced learning
* Open collaboration
* Learning technologies
* Community-driven software development
* Educational research
* Smart learning environments
* Learning methodologies
* Code review
* Collaborative learning