EAAI-21: The 11th Symposium on Educational Advances in Artificial Intelligence
A Virtual Conference (Collocated with AAAI-21)
Feb. 6-7, 2021
Sponsored by the Association for the Advancement of Artificial Intelligence
What's New (rev. July 9, 2020)
EAAI-21 will be held virtually
EAAI-21 will be held virtually February 6-7, 2021. More information will be posted here as it becomes available. You can also look for news on the AAAI-21 conference website
- Abstract submission due: September 1, 2020 11:59pm UTC-12
- Paper submission deadline: September 9, 2020 11:59pm UTC-12
- Notification date: November 13, 2020
- Camera-ready copy due to AAAI: TBD
- Symposium dates: February 6-7, 2021
The Eleventh Symposium on Educational Advances in Artificial Intelligence (EAAI-21) will be held virtually along with AAAI-21.
EAAI-21 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.
EAAI-21 is expected to include invited talks (including a talk of the recipient of the AAAI/EAAI Outstanding AI Educator Award 2021); Model AI Assignments; special tracks on Demos, Software Tools, and Activities for Teaching AI in K-12, Gin Rummy Undergraduate Research Challenge, and other exciting activities.
Call for Participation
EAAI-21 provides several submission types:
- Full-length papers (7 pages, plus up to 2 pages of references - use AAAI-21 style guidelines)
- Model AI Assignments (abstract, plus files - use custom guidelines)
All submissions should be anonymous for double-blind review.
EAAI-2021 Undergraduate Research Challenge
Announcing the Gin Rummy EAAI-2021 Undergraduate Research Challenge:
- Now seeking faculty-mentored undergraduate research teams to perform research and submit game AI bots competition and papers for peer-review and possible publication and presentation at EAAI-2021: The Eleventh Symposium on Educational Advances in Artificial Intelligence.
- $500 in ACM SIGAI prize money will be awarded for the best papers.
- Topic: Gin Rummy AI Players
Resources to get started:
- Video introduction: http://cs.gettysburg.edu/~tneller/games/ginrummy/eaai/eaai20-ginrummy.mp4
- Video slides: http://cs.gettysburg.edu/~tneller/papers/talks/eaai20-gin-rummy.pdf
- Competition base code: http://cs.gettysburg.edu/~tneller/games/ginrummy/eaai/code/
- Gin Rummy rules: https://www.pagat.com/rummy/ginrummy.html (We'll use a 25 point bonus for both gin and undercutting).
Please contact Todd Neller @ Gettysburg College if you are interested in forming a team.
Michael Guerzhoy Princeton University
Lisa Torrey St. Lawrence University
The AAAI/EAAI Outstanding Educator award is presented annually to a person (or group of people) who has made major contributions to AI education that provide long-lasting benefits to the AI community. Examples include innovating teaching methods, providing service to the AI education community, generating pedagogical resources, designing curricula, and educating students outside of higher education venues (or the general public) about AI.
The award consists of a certificate, a $1,000 honorarium, complimentary one-year AAAI membership (new or renewal), and free conference registration to the upcoming EAAI conference and co-located AAAI conference where the award will be conferred. Additional information and nomination instructions are available at http://www.aaai.org/Awards/eaai-award.php, or by writing to firstname.lastname@example.org.
The repository of Model AI assignments is also available:
Support for EAAI
Generous support for EAAI is made available by: