38th Annual AAAI Conference on Artificial Intelligence


About EAAI

The Symposium on Educational Advances in Artificial Intelligence (EAAI) is held in conjunction with AAAI.

EAAI provides a venue for researchers and educators to discuss pedagogical issues and share resources related to teaching and using AI in education across a variety of curricular levels (K-12 through postgraduate training), with an emphasis on undergraduate and graduate teaching and learning. The symposium seeks contributions showing how to more effectively teach AI, as well as how themes from AI may be used to enhance education more broadly (for example, in introductory computing courses or as a means for teaching computational thinking). We encourage the sharing of innovative educational approaches that convey or leverage AI and its many subfields, including robotics, machine learning, natural language processing, computer vision, and others.

Submission types

EAAI-24 has a main track and four special tracks. All submissions are subject to double-blind review. All accepted submissions are to be presented at the symposium.

Main Track

The main track invites a broad range of papers on teaching AI and teaching with AI. 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 or use of a tool or resource to teach AI.
  • The impact of a pedagogical or mentoring technique on AI students.

Special Track: AI for Education

Educational domains provide unique task areas and challenges for AI, and they provide unique opportunities for positive impacts. This special track invites research on advances in AI applied to educational tasks and domains including novel student models, intelligent learning environments, automated assistants, and instructional support.

Submissions should be framed as research publications consistent with the general call.

Special Track: Resources for Teaching AI in K-12

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: Mentored Undergraduate Research Challenge: AI for Accessibility in Communication

This special track invites papers addressing the AI for Accessibility in Communication Mentored Undergraduate Research Challenge (https://www.yetanotherfreedman.com/resources/challenge_ai4aic.html). The objective of this year’s challenge is to perform and publish research on the development or application of AI that makes sharing information more approachable and inclusive. The broader purpose of EAAI mentored undergraduate research challenges is to encourage undergraduate students to experience the full life-cycle of AI research through the guidance of a mentor familiar with the research life-cycle.

Submissions should be framed as research papers, with at least one undergraduate (including community college) student author and at least one mentor (faculty or Ph.D.-holding) author.

Special Track: Model AI Assignments

This special track invites assignments 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.