Topic Editors

Dr. Danial Hooshyar
Learning Analytics and Educational Data Mining, School of Digital Technologies, Tallinn University, Narva Rd. 25, 10120 Tallinn, Estonia
Prof. Dr. Roger Azevedo
Director, SMART Lab, School of Modeling Simulation and Training, University of Central Florida, Orlando, FL, USA
Prof. Dr. Raija Hämäläinen
Faculty of Education and Psychology, Department of Education, University of Jyväskylä, 40014 Jyväskylän, Finland

Artificial Intelligence for Education

Abstract submission deadline
31 October 2024
Manuscript submission deadline
31 December 2024
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Topic Information

Dear Colleagues,

Artificial intelligence (AI) has shown great potential in tackling numerous educational challenges in the classroom and school management.

At the classroom level, AI applications have been designed to support instruction by customizing learning materials, sequencing learning activities, and providing individualized feedback and scaffolding based on individual learners’ profiles. In this regard, AI is used to identify resources and pedagogical approaches that are considered appropriate for learners’ needs, predict potential outcomes, and recommend the next steps of the learning process for them. At the school level, AI applications are designed to support both school management and the system. Some examples include reducing dropout through predictive analysis and offering timely assessment of new skills like higher cognitive skills.

Despite its benefits, AI applications in education have faced criticism for various reasons, such as the lack of control over their behavior, the exclusion of practitioner expertise in their design, and the lack of interpretability. Despite these concerns, AI methods are being integrated into public sector education systems through machine learning, natural language processing, image processing, and expert systems.

Improving these systems to retain public sector values involves addressing major issues, including the above-mentioned challenges.  Failing to do so is considered a huge disadvantage as, in practice, learners’ performance, grade, risk of failure, etc., predicted through such AI methods should be accurate, unbiased, and transparent, accompanied with reasons on why a specific feedback, intervention, or pedagogical tool is appropriate for a learner.

Given the growing importance of AI in society and supporting education and the existing challenges in their applications, this topical collection focuses on AI for education. This collection expects original research and review articles that combine computer science and informatics ideas with the social sciences. Articles can be within (but are not limited to) the following areas:

Topics of Interest

  • Artificial intelligence for education (AIEd);
  • Natural language processing for education;
  • Education data mining and learning analytics;
  • Educational recommender systems;
  • Affective computing for education;
  • Neural-symbolic AI for education;
  • Artificial neural networks, machine learning, and statistical and optimization methods for education;
  • Evaluation of artificial intelligence, adaptive, or personalized educational systems;
  • AI-based adaptivity and personalization for education;
  • Intelligent tutoring systems, serious games, simulations, and dialog systems for education;
  • Multimodal multichannel trace data for AI systems;
  • AI for Education and ethics.

Dr. Danial Hooshyar
Prof. Dr. Roger Azevedo
Prof. Dr. Raija Hämäläinen
Topic Editors


  • artificial intelligence for education
  • education data mining and learning analytics
  • NLP and image processing for education
  • ethics of AI in education
  • affective computing for education

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Applied Sciences
2.7 4.5 2011 16.9 Days CHF 2400 Submit
Education Sciences
3.0 4.0 2011 24.9 Days CHF 1800 Submit
Machine Learning and Knowledge Extraction
3.9 8.5 2019 19.9 Days CHF 1800 Submit is a multidiscipline platform providing preprint service that is dedicated to sharing your research from the start and empowering your research journey.

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Published Papers

This Topic is now open for submission.
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