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Application of AI in Online Learning and Sustainable Education

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Education and Approaches".

Deadline for manuscript submissions: 1 November 2025 | Viewed by 634

Special Issue Editor


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Guest Editor
1. Research Institute of Trade and Sustainable Business, Faculty of Commerce, University of Economics in Bratislava, Dolnozemská cesta 1/b, Petržalka, 85235 Bratislava, Slovakia
2. Department of Marketing at Sumy State University, Kharkivska St., 116, 40007 Sumy, Ukraine
Interests: immersive learning; online learning; digitalization of education; virtual and augmented reality in education; gamification; educational crafting; interactive educational approaches; quality of education
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue explores the innovative applications of artificial intelligence (AI) in online learning and its potential contributions to sustainable education. It will delve into the ways AI can enhance learning experiences, improve educational accessibility, and promote sustainable practices in higher education.

Key Areas of Focus:

  • Personalized Learning: how AI can tailor educational content and experiences to individual learners' needs, preferences, and learning styles;
  • Intelligent Tutoring Systems: the development and application of AI-powered tutoring systems that can provide personalized guidance and support to students;
  • Adaptive Learning Platforms: using AI to create adaptive learning environments that can adjust to the students' progress and challenges in real time;
  • Gamification and AI: integrating AI to enhance gamification strategies in online learning, making learning more engaging and motivating;
  • Accessibility and Inclusion: how AI can improve accessibility for learners with disabilities and promote inclusivity in online learning environments;
  • Sustainable Education Practices: the role of AI in promoting sustainable education, such as reducing the environmental impact of online learning and fostering sustainable development skills;
  • Ethical Considerations: the ethical implications of AI in education including data privacy, algorithmic bias, and the potential for job displacement.

Call for Papers: This Special Issue invites original research papers, case studies, and review articles that address, but are not limited to, the following topics:

  • AI-driven personalized learning strategies;
  • Intelligent tutoring systems and their effectiveness;
  • Adaptive learning platforms and their impact on student outcomes;
  • Gamification and AI in online learning;
  • AI for accessibility and inclusion in higher education;
  • AI and sustainable education practices;
  • Ethical considerations in AI for education.

Expected Outcomes:

This Special Issue will provide valuable insights into the potential of AI to revolutionize online learning and contribute to sustainable education. It will serve as a resource for researchers, educators, and policymakers interested in exploring the intersection of AI and higher education.

By focusing on these key areas, the Special Issue will foster discussions on the innovative applications of AI in online learning, its potential benefits, and the challenges that need to be addressed for its successful implementation.

Dr. Artem Artyukhov
Guest Editor

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. Sustainability 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 (AI)
  • online learning
  • sustainable education
  • personalized learning
  • intelligent tutoring systems
  • adaptive learning
  • gamification
  • e-learning MOOCs (massive open online courses)
  • ethical considerations

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

Published Papers (1 paper)

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Research

26 pages, 617 KiB  
Article
Adoption of Massive Open Online Courses (MOOCs) for Health Informatics and Administration Sustainability Education in Saudi Arabia
by Sohail Akhtar, Manahil Mohammed Alfuraydan, Yasir Hayat Mughal and Kesavan Sreekantan Nair
Sustainability 2025, 17(9), 3795; https://doi.org/10.3390/su17093795 - 23 Apr 2025
Viewed by 335
Abstract
Introduction: The educational landscape has been expanded to disadvantaged and distant areas through online courses. These online courses have gained extensive interest yet there are limited studies available in the literature. The emergence of massive open online courses (MOOCs) has allowed sustainability educators [...] Read more.
Introduction: The educational landscape has been expanded to disadvantaged and distant areas through online courses. These online courses have gained extensive interest yet there are limited studies available in the literature. The emergence of massive open online courses (MOOCs) has allowed sustainability educators to glimpse the light. Online education is gaining popularity and, with the introduction of MOOCs, would be beneficial for knowledge building and sharing, and the development of learned society. Objective: This study investigated the mediating (indirect) effects of media richness and user-based use motives on the extended UTAUT model, use behavior (UB), and actual use (AU) of MOOCs on health informatics and administration sustainability education among educators and students in Saudi higher learning institutions (HLIs). A theoretical model based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and Channel Expansion Theory (CET) was used to investigate the factors that affect the adoption of MOOCs in health informatics and administration education. Methodology: A survey design approach was applied. Cross-sectional data were collected from health informatics educators and students from HLIs in Saudi Arabia. A non-probability convenience sampling technique was used for sampling. Data were collected online using Google Forms. A total of 145 completed questionnaires were used in the analysis. PLS-SEM(Version 4.1.1.2) was used for statistical analysis. To investigate the reliability and validity, a measurement model was developed and confirmatory factor analysis (CFA) was conducted. To test the hypotheses, a structural model was run using bootstrapping, coefficients, standard errors (SE) t-values, p values, and lower and upper-level confidence intervals. Results/Findings: The findings were that system quality and user satisfaction is an important factor in the UTAUT model and the inclusion of media richness and user-based use motives significantly mediated between the expanded UTAUT model and the UB and AU of MOOCs. Moreover, media richness and user-based use motives were found to be dominant factors in the overall study model to predict use behavior and actual use of health informaticians in Saudi Arabia. Conclusions: The combination of these two theories i.e., the UTAUT and CET, can effectively enhance the adoption, use behavior, and actual use of MOOCs in the emerging field of health informatics in Saudi Arabia. Full article
(This article belongs to the Special Issue Application of AI in Online Learning and Sustainable Education)
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