@conference {1501285,
	title = {From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences },
	booktitle = {Symposium on Educational Advances in Artificial Intelligence (EAAI) 2016},
	year = {2016},
	abstract = {Recent years have seen increasing interest in AI from
outside the AI community. This is partly due to applications based on AI that have been used in real-world domains, for example, the successful deployment of game
theory-based decision aids in security domains. This paper describes our teaching approach for introducing the
AI concepts underlying security games to diverse audiences. We adapted a game-based research platform
that served as a testbed for recent research advances
in computational game theory into a set of interactive
role-playing games. We guided learners in playing these
games as part of our teaching strategy, which also included didactic instruction and interactive exercises on
broader AI topics. We describe our experience in applying this teaching approach to diverse audiences, including students of an urban public high school, university
undergraduates, and security domain experts who protect wildlife. We evaluate our approach based on results
from the games and participant surveys.},
	author = {Sintov, Nicole and Kar, Debarun and Nguyen, Thanh and Fang, Fei and Hoffman, Kevin and Lyet, Arnaud and Tambe, Milind}
}
