[robotics-worldwide] EAAI-13 deadline February 6

Kauchak, David R. dkauchak at middlebury.edu
Sun Jan 20 09:23:10 PST 2013


Hi robotics folks,

The deadline for submissions to Educational Advances in Artificial Intelligence (EAAI) is coming up in a few weeks on February 6th.  This is a great event that is collocated with AAAI each year.  There are many avenues for participation from papers to posters to model assignments.  See the detailed CFP below or the web page at:
http://eaai.cs.mtu.edu

We've had great participation from folks in robotics in previous years including a panel last year on education and robotics with Zach Dodds, Keith O'Hara and Simon Parsons and it would be great to see more participation from the robotics community.  If you've been teaching AI or robotics recently and we'd love for you to share your experiences and resources with the community.

If you have any questions about submitting or appropriateness of material, I'd be happy to discuss further.
Dave

David Kauchak (EAAI-13 co-chair)
Middlelbury College
dkauchak at middlebury.edu


-----------------------
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 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) 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
------------------------------------

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
----------------------------
Laura E. Brown (co-chair), Michigan Technological University (lebrown at mtu.edu)
David Kauchak (co-chair), Middlebury College (dkauchak at middlebury.edu)
Chris Brooks, University of San Francisco (cbrooks at usfca.edu)
John DeNero, Google Inc. (papajohn at gmail.com)
Eric Eaton, Bryn Mawr College (eeaton at cs.brynmawr.edu)
Todd Neller, Gettysburg College (tneller at gettysburg.edu)
Matthew E. Taylor, Lafayette College (taylorm at lafayette.edu)
Kiri L. Wagstaff, Jet Propulsion Laboratory (kiri.wagstaff at jpl.nasa.gov)


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