Data-Driven Mobile Networks and Education
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 31 August 2024 | Viewed by 146
Special Issue Editors
Interests: e-learning; computer science; EdTech
2. School of Science & Technology, Hellenic Open University, 263 35 Patra, Greece
Interests: software engineering; agile project management; smart cities; Industry 4.0
Interests: e-learning technology and methodology; learning management systems; digital training; open source software development; end-user development; Internet of Things; smart environments
Special Issue Information
Dear Colleagues,
In the rapidly evolving landscape of education, the integration of data-driven mobile networks into educational technology is not just an option but a necessity. This Special Issue, titled "Data-Driven Mobile Networks and Education", aims to explore the dynamic interplay between mobile network technologies and educational frameworks. With it, we seek to understand how data analytics and mobile networks can revolutionize learning environments, pedagogical strategies, and educational outcomes.
We are particularly interested in research that examines the impact of mobile networks on e-learning platforms, the use of big data in personalized learning experiences, and the challenges of implementing these technologies in higher-education settings. Contributions may include, but are not limited to, studies on adaptive learning systems, mobile learning applications, data privacy and security in educational contexts, and the scalability of network infrastructures in education. This issue will provide a platform for discussing innovative approaches, practical challenges, and future directions in integrating data-driven mobile networks into the educational technology landscape.
Prof. Dr. Agostino Marengo
Prof. Dr. Panos Fitsilis
Prof. Dr. Alessandro Pagano
Guest 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 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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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
- data-driven learning
- mobile networks in education
- e-learning technologies
- higher-education innovation
- big data in education
- adaptive learning systems
- mobile learning applications
- educational data analytics
- network infrastructure in education
- privacy and security in e-learning
