EAAI-20 Call for Participation


About EAAI

EAAI-20 provides a venue for researchers and educators to discuss issues and share resources related to teaching AI and using AI in education. Most contributions address undergraduate and graduate education, but some extend to the K-12 and postgraduate levels.

Submission Types

Main Track

The Main Track accommodates full-length papers (8 pages, including references) and extended abstracts (2 pages, including references). Submissions may include (but are not limited to) these topics:

Special Track: AI for Education

Track Chair: Justin Li, Occidental College
This special track is about using AI to improve teaching and evaluation (for example, intelligent tutors or machine learning for analysis of education data and/or scaling of course delivery) or to improve learning and retention of students (for example, games or wearables for K-12 outreach). The submission requirements are the same as for the main track.

Special Track: Diversity and Inclusion in AI Education

Track Chair: Marion Neumann, Washington University in St. Louis
This special track focuses on studies that assess the inclusivity of AI education practices (e.g., how are particular topics, assignments, or assignment types perceived by different student populations) and experience reports highlighting lecture units, teaching practices, AI/ML applications, assignments, or examples/demonstrations that are particularly appealing to students of diverse backgrounds. The submission requirements are the same as for the main track.

Model AI Assignments Session

Organizer: Todd Neller, Gettysburg College
Good project assignments for AI classes are hard to come by. If you believe an assignment you have developed may be useful to other AI educators, we encourage you to prepare it for broad dissemination and submit it to the Model AI Assignments session. If selected, the project will be made available to other AI educators as a Model AI Assignment (modelai.gettysburg.edu) and will be presented at EAAI. The submission requirements are described in the Call for Model AI Assignments and at the separate EAAI supplementary website.

Special Paper Track: Design the EAAI-22 Undergraduate Research Challenge

EAAI has a tradition of AI-related undergraduate research challenges, including robotics and games. For this year, the challenge is for student-faculty teams to design such a challenge. Submissions will be presented at the symposium and judged by the program committee for potential execution for EAAI-22. Evaluation criteria include AI topics covered by the challenge (breadth/depth), supporting infrastructure produced by the team (e.g., simulators, example agents, datasets, etc. as appropriate), range of potential directions (e.g., theoretical vs applied, programming vs analysis). Submission requirements match those of the extended abstract, but may contain a link to a repository of supporting materials (e.g., datasets, software).

Submission Content and Formatting

Full-length submissions should describe well-developed ideas and in-depth arguments for their advantages; formal evaluations of effectiveness are welcomed but not required. Extended-abstract submissions may introduce preliminary or ongoing work.

Papers submitted to the Main Track must be formatted in AAAI camera-ready style. Special Tracks may have their own submission requirements, detailed above.

Submissions should be anonymous for double-blind review. The AAAI copyright block is not required on submissions, but must be included on final versions.

Policy Concerning Submissions to Other Conferences or Journals

EAAI-20 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 journal or another conference. Once submitted to EAAI-20, papers may not be submitted elsewhere during the review period. These restrictions apply only to refereed journals and conferences, not to unrefereed forums or workshops with a limited audience and without archival proceedings. Authors must confirm that their submissions conform to these requirements at the time of submission.