The workshop is structured around two main tracks: (1) AI Methods and Systems for Education, and (2) Teaching, Learning, and Literacy About AI. 

🔹 Track 1: AI Methods and Systems for Education

Focus on AI technologies, models, and computational approaches enabling educational applications.

Includes topics such as:

• AI systems in educational contexts 

• Design and development of AI applications for education 

• Open-source LLMs and AI models for education 

• Intelligent tutoring, personalization, and adaptive learning systems

• Learning analytics and automated feedback systems

• Automated assessment and evaluation methods 

• Human-AI collaboration in learning environments

• Explainable Artificial Intelligence in Education

• Scalable AI education platforms and infrastructures

• Challenges and opportunities in deploying AI in education

• AI systems for supporting teachers and learners

• Human-Robot Interaction in Education

🔹 Track 2: AI for Learning, Teaching, and Educational Practice

Focus on AI literacy, pedagogical approaches for teaching AI, critical understanding of AI technologies, and their societal and ethical implications.

Includes topics such as:

• Teaching methodologies for AI education

• Innovative learning approaches and classroom practices 

• AI literacy, awareness, and educational resources 

• Curriculum design and teacher training programs 

• Tools for explaining AI and correcting misconceptions

• Skills development for the AI era

• Educational tools for understanding and interacting with AI systems

• Human-centered interaction with AI in learning contexts

• Ethical, inclusive, and responsible use of AI

• AI for inclusive education and societal impact (including SDG4) 

• AI education across diverse populations (e.g., elderly learners)

The workshop allows three types of submissions:

• Full papers                 (10-12 pages) excluding references 

• Short papers              (6-9 pages) including references

     Suitable for presenting work in progress, software prototypes, or extended abstracts of doctoral theses

• Project papers            (6-9 pages)  including references
  General overviews of research projects

All papers must be written in English and formatted according to the new workflow for CEUR-WS style proceedings guidelines. The guidelines can be found here:

http://ceur-ws.org/HOWTOSUBMIT.html

Submissions undergo a single blind review process, i.e. authors should include their names and affiliations in their manuscripts. At submission time, authors will have to indicate the contribution type.

Papers must be submitted in PDF format via the online submission system CMT by selecting “AILEAP 2026 (1st International Workshop on AI Learning, Education And Practice)”: 

https://cmt3.research.microsoft.com/AILEAP2026

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

Download the CMT app to access submissions and reviews on the move and receive notifications:

https://apps.apple.com/us/app/conference-management-toolkit/id1532488001

https://play.google.com/store/apps/details?id=com.microsoft.research.cmt

• Abstract submission (200-300 words): July 11th, 2026

• Paper submission: July 16th, 2026

• Notification to authors: August 7th, 2026 

• Camera ready: August 30th, 2026

• Workshop day: The main conference will be held on October 6–9, 2026. The exact date of the workshop will be announced later.

Should you encounter any challenges in meeting these deadlines, please feel free to contact us without hesitation.

Note: The abstract is not subject to review as it is essential for organizational purposes.