EAAI 2016 - Sixth Symposium on Educational Advances in Artificial Intelligence

EAAI-16: The Sixth Symposium on Educational Advances in Artificial Intelligence
Phoenix, Arizona, USA (Collocated with AAAI-16)
February 13 - 14, 2016
? September 15, 2015: Paper submission deadline
? November 6, 2015: Notification of acceptance or rejection
? December 1, 2015: Camera-ready copy due at AAAI office
EAAI-16 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-16 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-16 provides many other paths for participation including a workshop for mentoring new faculty, instructors, and graduate students on teaching and an Educational Video Track within the AAAI-16 Video program.
EAAI-16 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
? 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, etc.)
? 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
? Material for teaching ethical considerations with regard to AI technology
Full-length submissions to EAAI-16 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-16 should not substantially overlap with papers that have been previously published or are under review elsewhere.
EAAI-16 Model AI Assignments Session
EAAI-16 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 will be available in June.
EAAI-16 Hands-On Robotics Education Session
In this session, participants will try out some of the most accessible and capable hardware and software resources used in AI Robotics education today. A team of AI robotics educators will scaffold, demonstrate, and then guide participants to accomplish short tasks; several different platforms will be available (wheeled, aerial, pan/tilt sensing), and we will also place the robots and software in the context of several field-tested, undergraduate-focused curricula.
EAAI-16 Relevant Topics for a Modern AI Course
There is a disparity between what is taught in many AI courses and what education and research colleagues would like to have taught. The aim of this panel is to propose a set of topics most appropriate for a modern introductory AI course.
EAAI-16 Co-Chairs
Todd Neller, Gettysburg College (tneller-AT-gettysburg.edu)
Sven Koenig, University of Southern California (skoenig-AT-usc.edu)
EAAI-16 Organizing Committee
Jim Boerkoel, Harvey Mudd College (boerkoel-AT-cs.hmc.edu)
Laura Brown, Michigan Technological University (lebrown-AT-mtu.edu)
Zachary Dodds, Harvey Mudd College (dodds-AT-cs.hmc.edu)
Susan P. Imberman, CUNY College of Staten Island (imberman-AT-csi.cuny.edu)
Kiri Wagstaff, NASA Jet Propulsion Laboratory (kiri.wagstaff-AT-jpl.nasa.gov)
Michael Wollowski, Rose-Hulman Institute of Technology (wollowski-AT-rose-hulman.edu)
Sarah Zelikovitz, CUNY College of Staten Island (sarah.zelikovitz-AT-csi.cuny.edu)