Date: January 23rd 2013

Dear AAAI Members,

The deadline for submissions to the AAAI Symposium on Educational Advances in Artificial Intelligence is February 6! The fourth edition of the symposium will be held in conjunction with AAAI-13 in Bellevue, Washington, July 15-16. Included below is the complete Call for Papers, which is also available via

We look forward to your participation at AAAI-13!

Best regards,

Carol Hamilton
Executive Director, AAAI



EAAI-13: The Fourth Symposium on Educational Advances in Artificial Intelligence

Bellevue, Washington (Collocated with AAAI-13)
July 15 - 16, 2013

Symposium website:
Symposium submission site:

Paper submission deadline: February 6, 2013
Notifications of acceptance to authors: March 15, 2013
Camera-ready papers due to AAAI: April 9, 2013

EAAI-13 provides a venue for researchers and educators to discuss pedagogical issues and share resources related to teaching AI 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, etc.

EAAI-13 provides several submission types:

full-length papers (6 pages)
extended abstract/poster contributions (2 pages)
Model AI Assignments highlighting innovative ready-to-adopt materials

In addition, EAAI-13 provides many other paths for participation including:

a workshop for mentoring new faculty, instructors, and graduate students on teaching
an Educational Video Track within the AAAI-13 Video program
a Student/Educator Track within the AAAI-13 Robotics Exhibition and Workshop

EAAI-13 welcomes paper submissions on a variety of topics, including, but not limited to:

Educational resources, including pedagogical strategies, innovative assignments and curricular development related to AI
Multi-disciplinary curriculum efforts highlighting the application of AI in other contexts (computational biology, algorithmic game theory, computational economics, etc.) and/or foundational concepts of AI in other fields (philosophy, cognitive science, linguistics, psychology)
The use of robotics and other tangible media both in AI courses and elsewhere in the curriculum
Software that assists the teaching/learning process - everything from software to help visualize search spaces and search algorithms, to software substrates that can be used by students to do projects
Resources and strategies for teaching specific AI sub-areas or topics: machine learning, robotics, computer vision, natural language processing, game playing, etc.
Strategies for situating AI within a wider CS curriculum
Ways to incorporate popular entertainment and media portrayal of AI (in movies, news, advertisements, new products, etc.)
Real-world examples of AI deployments, described in sufficient detail to provide case studies and/or serve as useful springboards for other educators
* Innovative means for integrating research as part of coursework in AI

Full-length submissions to EAAI-13 should describe well developed ideas and/or pedagogical examples, and in most cases should include an evaluation of the work. Extended abstract/poster submissions may highlight preliminary or ongoing work. Papers submitted to EAAI-13 should not substantially overlap with papers that have been previously published or are under review elsewhere.

EAAI-13 Model AI Assignments Session

EAAI-13 will feature a special session on Model AI Assignments suitable for use in a variety of class settings. The Call for Assignments for the Model AI Assignments special session is available at

EAAI-13 Organizing Committee
Laura E. Brown (co-chair), Michigan Technological University (
David Kauchak (co-chair), Middlebury College (
Chris Brooks, University of San Francisco (
John DeNero, Google Inc. (
Eric Eaton, Bryn Mawr College (
Todd Neller, Gettysburg College (
Matthew E. Taylor, Lafayette College (
Kiri L. Wagstaff, Jet Propulsion Laboratory (

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