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EAAI 2013 : The 4th Symposium on Educational Advances in Artificial Intelligence

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Link: http://www.cs.mtu.edu/~lebrown/eaai/
 
When Jul 15, 2013 - Jul 16, 2013
Where Bellevue, WA
Submission Deadline Feb 6, 2013
Notification Due Mar 15, 2013
Final Version Due Apr 9, 2013
Categories    artificial intelligence   machine learning   education
 

Call For Papers

Call for Papers

* February 6, 2013: Paper submission deadline
* March 15, 2013: Notification of acceptance or rejection
* April 9, 2013: Camera-ready copy due at AAAI office
* July 15-16, 2013: Symposium

The Fourth Symposium on Educational Advances in Artificial Intelligence (EAAI-13) will be held 15–16 July 2013 in Bellevue Washington USA. The symposium is collocated with AAAI-13. 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, and others.

EAAI-13 provides several submission types:
* Full-length papers (6 pages)
* Extended abstract/poster contributions (2 pages)
* Model AI Assignments session highlighting innovative, ready-to-adopt materials

The EAAI-13 proceedings will be published by AAAI.

In addition, EAAI-13 provides many other paths for participation including the following:
* 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 the following:
* Educational resources, including pedagogical strategies, innovative assignments and curricular development related to AI
* Multidisciplinary 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 subareas or topics: machine learning, robotics, computer vision, natural language processing, game playing, and others.
* 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 http://modelai.gettysburg.edu/.

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