Artificial Intelligence and Personalised Learning
A special issue of Education Sciences (ISSN 2227-7102). This special issue belongs to the section "Technology Enhanced Education".
Deadline for manuscript submissions: 23 December 2026 | Viewed by 297
Special Issue Editors
Interests: AI in education; digitalization in education; adaptive learning; personalization of learning; individualization of learning; blended and distance learning
Interests: the use of information and communication technologies in teaching foreign languages; virtual communities in teaching higher education subjects; the formation of communicative competence of IT specialists
Special Issues, Collections and Topics in MDPI journals
Interests: information and communication technologies in education; computer science and its application in teaching and science; vocational education and methods of professional training; applied social and communication technologies; automation, informatics and computing; cloud technologies in education and digital learning; adaptive and personalized learning systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid development of artificial intelligence (AI) is transforming education systems worldwide, fuelling debate over the benefits and risks of its use. In the global context, AI is seen as a key tool for the development of Education 4.0, capable not only of optimising assessment and educational analytics but also of supporting teachers, expanding access to quality learning, and preparing learners for future professional scenarios.
One advantage of the spread of AI technologies in education is the ability to make education more student-centred. Current research shows that AI-driven learning systems improve student outcomes, increase engagement, and provide more accurate real-time identification of educational gaps. This makes such approaches not just a technological innovation, but a necessity for modern schools and universities, spreading adaptive learning technologies and contributing to a new round of personalised learning. Personalised learning is becoming one of the key innovations of our time.
However, the implementation of personalised learning based on AI is accompanied by a number of challenges, from pedagogical and psychological barriers to the need for ethical, transparent and responsible mechanisms for the use of technology. That is why research in AI and personalised learning is becoming increasingly important for both the academic community and practitioners, as it provides the scientific basis for innovative educational models that can meet the current and future needs of society.
This Special Issue aims to present and disseminate the most recent advances related to the use of artificial intelligence for personalised learning, including adaptive learning systems, educational data analytics, intelligent tutors, and innovative pedagogical approaches supported by technology. We consider contributions addressing the implementation of AI in personalisation of learning, shaping individual educational trajectories, improving teaching methods, increasing student engagement, and overcoming challenges and barriers associated with the AI of education systems.
Topics of interest for publication include, but are not limited to, the following:
- Using artificial intelligence for personalised learning.
- Adaptive and intelligent learning systems using AI technologies.
- AI technologies for shaping individual educational trajectories.
- Educational data analytics using AI.
- The role of AI in transforming pedagogical approaches and teacher and student functions.
- Inclusivity and accessibility of personalised learning in conditions of global inequality.
- Systemic and organisational strategies for implementing AI in an educational institution.
Dr. Kateryna Osadcha
Prof. Dr. Svitlana Symonenko
Prof. Dr. Viacheslav V. Osadchyi
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 250 words) can be sent to the Editorial Office for assessment.
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 double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Education Sciences is an international peer-reviewed open access monthly 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 1800 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
- personalised learning
- adaptive learning
- individual educational trajectories
- educational data
- pedagogical approaches
- inclusivity and accessibility
- AI implementation
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