New Insights in Artificial Intelligence and 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: 30 June 2026 | Viewed by 52
Special Issue Editors
Interests: information education; artificial intelligence education; information ethics; digital divide
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the modern information society, various information and communication technologies are used to enrich our day-to-day living, yet recently, the development and dissemination of various artificial intelligence technologies is causing further changes to our lives, particularly in the field of education. More specifically, the application of various artificial intelligence technologies in the field of e-learning is gradually raising the status of e-learning to a level equivalent to that of traditional education. In order to properly utilize artificial intelligence in e-learning, a basic understanding of artificial intelligence is required across both private and public education. Meanwhile, the application of artificial intelligence to e-learning also has its limitations, and comes with a range of challenges. It can be concluded that the emergence of artificial intelligence (AI) in education is reshaping teaching and learning models, particularly through digital environments. Consequently, this Special Issue aims to gather together research that critically examines the role of AI in education, with a strong emphasis on its ethical, social, and pedagogical implications. Contributions on topics such as AI literacy, intelligent tutoring systems, adaptive learning, and education in data science, programming, and algorithms are particularly welcome. Special attention will be given to studies addressing the ethics of AI in educational contexts, including algorithmic fairness, data privacy, transparency in automated systems, and the impact on student autonomy. This Special Issue seeks to promote an interdisciplinary approach to understanding both the opportunities and challenges of AI in e-learning, fostering academic dialog and offering guidance for the ethical and effective implementation of AI in digital education.
This Special Issue deals with various topics related to the use of artificial intelligence knowledge and technology in the field of e-learning. Areas of interest include, but are not limited to, the following representative topics:
-Artificial intelligence literacy;
-AI-based tutoring;
-Artificial intelligence ethics;
-AI-based adaptive learning;
-Application of artificial intelligence in education;
-Artificial intelligence convergence education;
-AI-based automatic scoring system;
-Data science education;
-Programming education;
-Algorithm education.
Dr. Woochun Jun
Dr. Pilar García-Díaz
Guest Editors
Manuscript Submission Information
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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
- artificial intelligence applications
- artificial intelligence literarcy
- artifical intelligence ethics
- data science education
- AI-based tutoring
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