Special Issue "Smart Learning"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 30 September 2019

Special Issue Editors

Guest Editor
Prof. Dr. Francisco José José García-Peñalvo

Department of Computer Science, University of Salamanca, Salamanca 37008, Spain
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Interests: information systems, human factors in computing; project management in information-systems development; global and distributed software-engineering; systems, services, and software process improvement and innovation; management information systems; business software; innovation in IT
Guest Editor
Prof. Dr. Ricardo Colomo-Palacios

Department of Computer Science, Østfold University College, Halden, Norway
Website | E-Mail
Interests: information systems, human factors in computing, project management in information-systems development, global and distributed software-engineering, systems, services, and software process improvement and innovation, management information systems, business software, innovation in IT
Guest Editor
Prof. Dr. Aman Yadav

Department of Counseling, Educational Psychology and Special Education, Michigan State University, MI 48824, USA
Website | E-Mail
Interests: Educational Technology; problem-based learning; case-based instruction in STEM disciplines

Special Issue Information

Dear Colleagues,

Artificial intelligence has an extensive application area. Nowadays, machine intelligence issues have gone beyond academic publications to be discussed in mass media such as newspapers, TV shows, and so on.

The educational field is not an exception; even artificial intelligence has a very long tradition in supporting the learning processes with intelligent assistants or tutors, recommending educational materials, predicting students’ behaviors, and managing vast amounts of data. However, big data, machine learning, or deep learning techniques provide significant potential for this purpose, leading to new applications, more efficient operations, and more human approaches. These methodologies enable digging massive databases, enhancing the knowledge base, and producing new data model-based applications and services for the educational community.

The development of smart learning services with the technologies mentioned above will allow advancing to more effective teaching and learning services, with powerful possibilities for teachers and new ways to permit a more self and autonomous for students, with special attention given to a mixture of formal and informal learning approaches.

This Special Issue is oriented to present a collection of papers of original advances in educational applications and services propelled by artificial intelligence, big data, machine learning, and deep learning.

Prof. Dr. Francisco José García-Peñalvo
Prof. Dr. Ricardo Colomo-Palacios
Prof. Dr. Aman Yadav
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 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. 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 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.

Keywords

  • Extraction information from educational environments
  • Internet of Things applied to education
  • Educational data mining
  • Cloud computing in education
  • Data Mining and big data analysis
  • Intelligent systems for education
  • Machine and deep learning in education
  • Diagnostic and predictive analytics in educational processes
  • Intelligent process applied in specific educational domains
  • Activity recognition in education
  • Data authentication and security in educational environments
  • Privacy-preserving systems for education
  • Computational models in education.

Published Papers

This special issue is now open for submission.
Appl. Sci. EISSN 2076-3417 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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