AI4AI 2025 — https://cogsys.uni-bamberg.de/events/ai4ai2025/

AI as means to improve education received much attention on a global scale lately and events are co- located with main AI conferences (such as IJCAI or AAAI). Education as an application domain of AI encompasses manifold use cases and specialised settings, ranging from early education to advanced university programs.

This workshop has been hold the first time at ECAI 2023. It aims to bring together researchers investigating, developing, or exploring AI techniques in AI education. We aim to provide a platform for exchange of ideas and experiences under the general theme of AI for education specialising on university education in AI. Besides researchers with a background in AI, we encourage interdisciplinary contributions from cognitive science and education technology.Topics of interest include, but are not limited to:

• intelligent tutor systems
• automated feedback and recommendations
• AI-supported grading chatbots and QA as tutors
• inductive procedure learning
• learning by analogy
• explanatory dialogs
• cognitive aspects of teaching and learning

Submission Guidelines

We invite submissions of

• technical papers (full papers with 12 pages + references)
• technical papers (short papers with 6 pages + references)
• summary papers (short papers with 6 pages + references)
• application or demo papers (6 pages + references)

Submission should be in LNCS format.

Technical papers present novel ideas or finding and position results in context of AI-enhanced education of AI. For research-in-progress, submission of short papers are welcome. We particularly encourage young researchers to submit. We also invite authors who recently published results of interest to this workshop to submit a short summary paper which highlights the results and explains relevance. Application contributions present the use or evaluation of AI techniques in an educational context. Evaluations can range from technology oriented (e.g. address software functioning in operational contexts) to human oriented (e.g. address usability or effects of use). Demos focus on (novel) implementations put into practise. They can be ‘proof of concepts’, but also mature products. Contributions typically address the ‘extras’ needed to achieve a useful implementation.

Accepted papers will be published as CoRR Proceedings in cs.AI.

Workshop Organization

• Ute Schmid, University of Bamberg
• Jochen L. Leidner, University of Applied Sciences Coburg & University of Sheffield
• Michael Kohlhase, FAU Erlangen-Nürnberg
• Diedrich Wolter, University of Lübeck

Contact

For further information see the workshop homepage or contact any of the organizers.