The Fourth Symposium on Educational Advances in Artificial Intelligence
Sponsored by the Association for Fourth the Advancement of Artificial Intelligence
Call for Participation
THE DEADLINE FOR SUBMISSIONS TO EAAI-13 HAS BEEN EXTENDED TO WEDNESDAY, FEBRUARY 13!
- February 13, 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 highlighting innovative ready-to-adopt materials
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 the URL provided below.
EAAI-13 Organizing Committee
Laura E. Brown (cochair), Michigan Technological University (firstname.lastname@example.org)
David Kauchak (cochair), Middlebury College (email@example.com)
Chris Brooks, University of San Francisco (firstname.lastname@example.org)
John DeNero, Google Inc. (email@example.com)
Eric Eaton, Bryn Mawr College (firstname.lastname@example.org)
Todd Neller, Gettysburg College (email@example.com)
Matthew E. Taylor, Lafayette College (firstname.lastname@example.org)
Kiri L. Wagstaff, Jet Propulsion Laboratory (email@example.com)
Additional information about the symposium is available on the supplemental website (eaai.cs.mtu.edu).