Date: February 8th 2013


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February 13: EAAI Papers Due
Website: http://eaai.cs.mtu.edu
Submissions: http://eaai.confmaster.net
EAAI-13 Model AI Assignments: http://modelai.gettysburg.edu/
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Dear AAAI Members,

The deadline for submissions to the Fourth Symposium on Educational Advances in Artificial Intelligence (EAAI-13), collocated with AAAI-13 in Bellevue, Washington, has been extended.

Papers are now due on Wednesday, February 13. There are many avenues for participation:

full papers (6 page limit)
extended abstracts / posters (2 page limit)
Model AI assignments - innovative assignments + 200 word abstract

For full details, please refer to the Call for Papers included below and also available at http://eaai.cs.mtu.edu. Please feel free to contact us with questions.

Thanks,

David Kauchak and Laura Brown
EAAI-13 Symposium Cochairs

----------------------------
CALL FOR PAPERS

EAAI-13: The Fourth Symposium on Educational Advances in Artificial Intelligence
Bellevue, Washington (Collocated with AAAI-13)
July 15 - 16, 2013

Symposium website: http://eaai.cs.mtu.edu

Paper submission deadline: February 13, 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) highlighting preliminary or ongoing work
Model AI Assignments highlighting innovative ready-to-adopt materials

In addition, EAAI-13 will provide 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

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. 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
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As mentioned above, 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 http://modelai.gettysburg.edu/

EAAI-13 Organizing Committee
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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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