Workshops and Tutorials Track
The 26th International Conference on Artificial Intelligence in Education (AIED) is set for July 22-26, 2025, in Palermo, Italy. We encourage submissions for workshops and tutorials to take place during the event. Proposals are welcome from all areas of AI in Education, and we invite organizers and presenters of all experience levels to participate.
The AIED 2025 workshops and tutorials aim to facilitate in-depth discussions on current and emerging topics relevant to the AIED community. We welcome proposals for workshops and tutorials that unite individuals developing novel research areas. Proposers should clearly articulate how their proposal will engage the AIED community and highlight the benefits of addressing this topic through a workshop or tutorial. Innovative and interactive formats are highly encouraged and will be prioritized in the selection process.
Workshops and tutorials that consider the theme of AIED 2025 (“AI as a Catalyst for Inclusive, Personalised, and Ethical Education: Empowering Teachers and Students for an Equitable Future”) are especially welcome. Specifically, topics related to highlighting how AI can empower teachers and students to create a more inclusive and equitable educational future, focusing on AI’s ability to personalize learning, address diverse student needs, and reduce disparities, particularly for marginalized communities. Emphasis should be placed on ethical AI integration to ensure fairness, transparency, and privacy.
Important Dates
- Submission due: February 23, 2025
- Notification of acceptance to workshop/ tutorial organisers: March 20, 2025
- Workshop websites and calls published on the conference website: March 28, 2025
Note: Submission deadlines are set for 11:59 pm AoE (Anywhere on Earth) time. Please ensure to meet these deadlines; there will be NO extensions.
Diversity, Equity, and Inclusion
The AIED Society values diversity, equity, and inclusion (and related principles under this broad umbrella) as essential and fundamental values for the AIED community to uphold. Thus, in AIED 2025, we incentivize authors to carefully consider diversity, equity, and inclusion when reporting on their work.
When preparing your submission for workshops/tutorials, please consider the following:
- Authors should be mindful of using inclusive language. This includes being aware of the differences between identity-first and person-first language, using gender-neutral terms, selecting appropriate demographic categories, and avoiding the merging of distinct dimensions such as race and ethnicity or sex and gender;
- Authors are encouraged to reflect on how their theoretical frameworks and findings relate to diversity, equity, and inclusion. For instance, they can discuss how these issues impact key assumptions, hypotheses, and methods. Additionally, authors should consider the implications of their findings and how they can be interpreted in relation to diversity, inclusion, and equity.
Please consider the following criteria when reporting samples:
- Authors should be clear and specific about the composition of human-sourced data. Who were the participants? What was the distribution of gender, race, ethnicity, and other related variables? If corpus data or training data were sourced from individuals, a similar description should be provided;
- While skewed or non-representative samples may not necessarily lead to a “reject” decision, authors must acknowledge any demographic imbalances and discuss their potential impact on the data, results, or conclusions. A more compelling paper would also describe the barriers to achieving inclusive and representative sampling, as well as the steps taken to create such samples—this is a fundamental aspect of good science, though it is often overlooked for the sake of convenience;
- Authors should show awareness of how issues related to equity, inclusion, and accessibility affect their data, methods, products, or findings. How are different demographic groups or communities affected by this work? For instance, those developing educational technologies must consider access and usability. Corpus analyses should address the implications of using skewed or exclusive datasets and their potential outcomes, such as algorithmic bias. It is also crucial to implement strategies that control or reduce bias against any population (e.g., avoiding favoritism or prejudice based on gender, race, or socioeconomic status) when collecting, using, or aggregating data;
- Additionally, authors are encouraged to discuss and justify how demographic variables are included in their analyses. If they are not included or are “covaried out,” please justify. If demographic variables are included, what assumptions are being made? Are there identifiable “categorical effects”? Are the effects of different demographic variables independent, interdependent, or intersectional? What valid conclusions can be drawn, and what erroneous conclusions should be avoided or carefully considered?
Submission Instructions
Workshop and tutorial proposals should be up to to 8 pages (including references) and include the following elements:
- Title indicating full or half-day format.
- Names, brief biographies, and contact details of the workshop or tutorial chair(s).
- A list of potential program committee members, if relevant.
- If applicable, a list of potential authors interested in contributing to the workshop.
- Proposed timeline for announcing a call for papers and acceptance decisions, if necessary.
- Content and themes clearly outlined.
- Significance and relevance to the AIED community.
- Format and activities (e.g., paper presentations, discussions, demonstrations, panels, invited speakers, tutorials, etc.)
- Expected target audience and anticipated maximum number of participants.
- Details of previous editions of the workshop/tutorial series, if applicable.
- Plans for potential funding solicitation (external funding is not required for acceptance).
- Plans for publishing the workshop’s proceedings and where they will be available, if relevant.
- Plans for advertising the event.
Please follow Springer’s author guidelines and use their proceedings
templates, either for LaTeX or Word, to prepare your proposal.
Submissions will be handled via EasyChair: https://easychair.org/conferences/?conf=aied2025
Publication
Workshop and tutorial chairs will be invited to provide a up to 8 pages summary (including references) of their workshop and tutorial, which will be published in the second volume of the AIED 2025 proceedings included in Springer Communications in Computer and Information Science (CCIS).
Additional Remarks
The AIED 2025 organizing committee will support workshop and tutorial dissemination on the conference website. If organizers plan to use their own local website, we will link it on the conference website, provided the link is submitted by the aforementioned March 28th deadline.
Organizers of accepted workshops and tutorials are also expected to identify potential participants, as well as handle calls for workshop contributions and the publication of workshop contributions and outcomes. The AIED 2025 organizing committee reserves the right to cancel a workshop/tutorial that does not attract enough participants.
Organizers may conduct workshops in a hybrid format at their discretion, provided that at least one organiser is present on-site. This is so that the on-site organiser can assist attendees and manage on-site technical equipment (e.g., microphones, hybrid conferencing tools).
When publishing workshop contributions, organizers are encouraged to target well-established workshop proceedings repositories (such as http://ceur-ws.org/) and/or high-quality publication outlets (international impact-rated journals, including special issues within them).
Workshop and Tutorial Chairs
For additional inquiries, please reach out to the workshop and tutorial Chairs:
- Tanja Mitrovic (she/her), University of Canterbury, New Zealand (tanja.mitrovic@canterbury.ac.nz)
- Gabriella Casalino (she/her), University of Bari Aldo Moro, Italy (gabriella.casalino@uniba.it)
- Sébastien Lallé (he/his), Sorbonne University, France (sebastien.lalle@lip6.fr)