Due to scheduled maintenance work on our database systems, there may be short service disruptions on this website between 10:00 and 11:00 CEST on June 14th.
applsci-logo

Journal Browser

Journal Browser

Emerging Trends in Artificial Intelligence and Computer Science for E-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: 20 September 2025 | Viewed by 644

Special Issue Editors


E-Mail Website
Guest Editor
Department of Computer Engineering, Universidad Autónoma de Madrid, Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain
Interests: applied computing; learning systems; gamification in learning systems; intelligent tutoring systems

E-Mail Website
Guest Editor Assistant
Department of Computer Engineering, Universidad Autónoma de Madrid, Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain
Interests: applied linguistics; AI for teaching-learning; machine translation

Special Issue Information

Dear Colleagues,

We are pleased to invite you to contribute to the Special Issue “Emerging Trends in Artificial Intelligence and Computer Science for E-Learning”. This Special Issue explores the role of advanced artificial intelligence and computer science techniques for distance learning, covering a wide range of topics—from autonomous student learning to assessment methodologies.

This Special Issue welcomes contributions from diverse academic communities, including education and computer science, engaging all stakeholders involved in these fields.

Suggested themes and article types for submissions:

We invite original research articles and review papers on topics including, but not limited to:

  1. Generative artificial intelligence as a tool for self-regulated learning;
  2. AI-driven support for teachers in and beyond the classroom;
  3. Enhancing assessment through advanced AI systems;
  4. The impact of the new AI methodologies on learning processes;
  5. Advanced numerical methods and learning analytics.

We look forward to receiving your valuable contributions.

Best regards,

Prof. Dr. Sacha Gómez Moñivas
Guest Editor

Dr. Beatriz Narbona
Guest Editor Assistant

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

  • artificial intelligence
  • e-learning
  • learning systems

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Other

19 pages, 1523 KiB  
Systematic Review
Implementation of Artificial Intelligence Technologies for the Assessment of Students’ Attentional State: A Scoping Review
by Rosabel Roig-Vila, Paz Prendes-Espinosa and Miguel Cazorla
Appl. Sci. 2025, 15(11), 5990; https://doi.org/10.3390/app15115990 - 26 May 2025
Viewed by 367
Abstract
Artificial intelligence (AI) has recently erupted into the field of education, offering novel opportunities, particularly in the analysis of student behaviour. There is a lack of knowledge on the use of AI in assessing attention; hence, a scoping review (ScR) is proposed. The [...] Read more.
Artificial intelligence (AI) has recently erupted into the field of education, offering novel opportunities, particularly in the analysis of student behaviour. There is a lack of knowledge on the use of AI in assessing attention; hence, a scoping review (ScR) is proposed. The aim is to explore and analyse the scientific literature related to such implementations in educational settings. We included empirical studies published in English between 2017 and 2023, focusing on the application of AI in formal learning environments. Theoretical reviews and studies conducted outside the field of education were excluded. The databases consulted were Scopus, Web of Science, and APA PsycInfo. The studies were selected by three independent reviewers using Rayyan, and the data were organised with predefined forms and analysed using VOSviewer. A total of 26 studies were identified. Research conducted in Asia (China) was predominant, although we found significant contributions from Europe and America. The methodological approaches were primarily experimental, focusing on mechanical observation and AI-based analytical techniques. The approaches adopted and the elements common to AI applications are discussed, highlighting implications for researchers, professionals and teachers. Full article
Show Figures

Figure 1

Back to TopTop