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Late Breaking Results Track

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Introduction

The 26th International Conference on Artificial Intelligence in Education (AIED 2025) invites you to submit your work for consideration in the late breaking results (LBR) track, focusing on the transformative role of Artificial Intelligence (AI) in shaping the future of education. This year’s conference theme, “AI as a Catalyst for Inclusive, Personalised, and Ethical Education: Empowering Teachers and Students for an Equitable Future,” highlights the potential of AI to create educational architectures /tools/systems that are more inclusive, tailored to individual needs, and grounded in ethical practices. LBR is aligned with the General call in Diversity, Equity and Inclusion.

The LBR track offers an opportunity for presenting compelling, preliminary results and innovative work in progress. The goal is to give new, but not necessarily mature work a chance to be seen by other researchers and practitioners and to be discussed at the conference. Accepted submissions will be published in the companion proceedings of the conference and will be presented during the conference as posters. We are seeking original research, conceptual papers, case studies, and innovative projects that explore, amongst others, how AI can be used to:

• Promote inclusive education, ensuring equitable access and opportunities for diverse learners across various backgrounds, abilities, and contexts.
• Support the development of personalised learning experiences, empowering learners to take ownership of their educational journeys through tailored content, adaptive assessments, and real-time feedback.
• Foster ethical AI practices in educational technologies, addressing issues of fairness, privacy, transparency, and bias in AI systems used for educational purposes.
• Empower teachers and educators, equipping them with AI-driven tools and strategies that enhance teaching practices, improve decision-making, and facilitate more efficient classroom management.

We welcome submissions across a variety of topics, including but not limited to:

• AIED architectures and tools; 
• Machine learning and Generative AI; 
• Learning, teaching and pedagogy; 
• Teaching AI
• Ethics, Equity, and AIED in Society
• Theoretical aspects of AIED and AI-based modelling for Education

Important Dates 

Phase	Deadline
Submission due	April 2, 2025
Notification of acceptance to authors	April 30, 2025
Camera-ready paper due	May 7, 2025
Conference	July 22 – 26, 2025

Note: the submission deadline is 11:59 pm AoE (Anywhere on Earth) time. Please adhere to these deadlines as there will NOT be any extensions to the above dates for LBRs track submissions.

Submission Instructions

Submissions must follow Springer policies on publication (including policies on the use of AI in the authoring process): https://tinyurl.com/3rk3zj3v .

All submissions must be in Springer format. Papers that do not use the required format may be rejected without review. Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. Submissions are handled via EasyChair.

Paper length must be no more than 6 pages (excluding references).

Review Process

All submissions will be reviewed by the program committee to meet rigorous academic standards of publication. 

The review process will be double-masked, meaning that both the authors and reviewers will remain anonymous. To this end, authors should: (a) eliminate all information that could lead to their identification (names, contact information, affiliations, patents, names of approaches, frameworks, projects and/or systems); (b) cite own prior work (if needed) in the third person; and (c) eliminate acknowledgments and references to funding sources. 

Papers will be reviewed for relevance, novelty, technical soundness, significance and clarity of presentation. It is important to note that the work presented should not have been published previously or be under consideration in other conferences of journals. Any paper caught in double submission will be rejected without review.

Registration and Participation

Each accepted paper within the LBR track must be accompanied by a unique author registration (i.e., one registration per paper). Please note that presenters of papers accepted to the LBR track are expected to be on-site to give their presentations and interact with the audience, to have the paper included in the proceedings. An online streaming option will be set-up for remote observers. 

Note that a Best Poster Award will take place. More details will be updated later.