Important Dates

• Abstract deadline: September 9, 2024, at 11:59 PM UTC-12 (anywhere on Earth)
• Paper deadline: September 16, 2024, at 11:59 PM UTC-12 (anywhere on Earth)
• Notification date:  December 9, 2024
• Camera-ready submission deadline: December 19, 2024
• Symposium dates:  March 1-2, 2025 (co-located with AAAI-25)

EAAI-25 Call for Participation

EAAI-25: The 15th Symposium on Educational Advances in Artificial Intelligence invites AI educators and researchers to share and discuss advances in AI education. 

EAAI website: https://eaai-conf.github.io/year/eaai-25.html

Important Dates

• Abstract deadline: September 9, 2024, at 11:59 PM UTC-12 (anywhere on Earth)
• Paper deadline: September 16, 2024, at 11:59 PM UTC-12 (anywhere on Earth)
• Notification date:  December 9, 2024
• Camera-ready submission deadline: December 19, 2024
• Symposium dates:  March 1-2, 2025 (co-located with AAAI-25)

Submission Types

EAAI-25 has a main track and two special tracks on “Resources for Teaching AI in K-12” and “Model AI Assignments”. All submissions are subject to double-blind review, and all accepted submissions will be presented at the symposium.

Main Track

Chairs: Effat Farhana (Vanderbilt University), Fred Martin (University of Texas at San Antonio), Narges Norouzi (University of California Berkeley)

The main track invites papers that contribute to advancing AI education and pedagogy. Submissions may be framed as research papers or as experience reports. Potential topics include:

• The design of an AI curriculum, course, or module.
• The development and use of a tool or resource to enhance learning experiences.
• The impact of a pedagogical or mentoring technique on AI students.

Each paper must be submitted to only one of the contribution areas outlined below. Papers will be reviewed for the area they are submitted to, and they will not be moved between the areas.

Area 1: Research Papers

We invite submissions for Research on advances in AI education. The hallmark of papers in this area is the presence of a research question or hypothesis and the extensive evaluation      to answer the question, including the use of learning sciences or pedagogical reasoning to show why research questions     improve educational experiences. Papers in this area will be reviewed based on the clarity of the research questions posed, the soundness of the approaches to address the questions posed, and the overall contribution. Both qualitative and quantitative research are welcomed.

Area 2: Experience Report and Innovative Practice

We invite submissions for the Experience Report Area, which provides an opportunity for educators and researchers to share their experiences, observations, insights, and outcomes with the broader AI education community. Papers in this area should describe the development and use of an AI education module, approach, or tool, the context of its use, the data collected, and, importantly, provide a rich reflection on what did or didn’t work and why. Contributions should be motivated by prior literature, and should highlight the novelty of the experience or tool presented in addition to the reflection.

Special Track: Resources for Teaching AI in K-12

Chairs: Dave Touretzky (Carnegie Mellon), Christina Gardner-McCune (University of Florida), Kate Moore (MIT)

This special track invites papers on the development and use of resources to support K-12 AI education. Examples include online demos, software tools, and structured activities. Submissions should follow the standard EAAI format for an academic paper and include the following: description of the resource; target age group; setup and resources needed; AI concepts addressed; expected learning outcomes; and (if possible) implementation results. Online demos and software tools should be accompanied by brief video walk-throughs. 

Special Track: Model AI Assignments

Chair: Todd Neller (Gettysburg College)

This special track invites assignments or resources for AI classes. Good assignments take a lot of work to design. If an assignment you have developed may be useful to other AI educators, this track provides an opportunity to share it. Model AI Assignments are kept in a public online archive.

This track has special submission instructions (http://modelai.gettysburg.edu).

Paper Review criteria

Submissions will be reviewed for:

• Relevance to the track and the area
• Significance to the intended audience
• Engagement with prior work
• Novelty of contributions
• Technical soundness
• Clarity of presentation
• Evaluation of claims/results (as applicable)
• Engagement with questions of ethics/inclusivity (as applicable)

Paper Submission Instructions

All submissions must be anonymous for double-blind review.

Except for Model AI Assignments, which have their own format, papers should be:

• Up to 7 pages long, plus up to 2 pages of references
• Per AAAI-25 style guidelines (https://aaai.org/authorkit25/)
• Submitted via EasyChair https://easychair.org/conferences/?conf=eaai25

EAAI-25 will not consider any paper that, at the time of submission, is under review for or has already been published or accepted for publication in a refereed journal or conference. Once submitted to EAAI-25, papers may not be submitted to another refereed journal or conference during the review period. These restrictions do not apply to unrefereed forums or workshops without archival proceedings.

Mentored Undergraduate Research Challenge (Format Change)

More detailed information to follow about the new format of the Mentored Undergraduate Research Challenge. 

Birds of a Feather Sessions

EAAI-25 is soliciting proposals for Birds of a Feather sessions to take place at the conference. If you have an idea for a Birds of a Feather session that would be relevant for the EAAI participants, please email a 1 page proposal (any format) to eaai25chairs@aaai.org with title “Birds of a Feather Proposal”. 

Organization

Correspondence may be sent to EAAI at eaai25chairs@aaai.org.

EAAI-25 chairs

Stephanie Rosenthal (Microsoft and Carnegie Mellon University, Pittsburgh, USA) 
Narges Norouzi (University of California Berkeley, Berkeley, USA)