@conference {13461,
	title = {Playing to Program: Towards an Intelligent Programming Tutor for RUR-PLE},
	booktitle = {Second AAAI Symposium on Educational Advances in Artificial Intelligence},
	year = {2011},
	month = {2011/04/08/},
	abstract = {Intelligent tutoring systems (ITSs) provide students with a one-on-one tutor, allowing them to work at their own pace, and helping them to focus on their weaker areas. The RUR1{\textendash}Python Learning Environment (RUR-PLE), a game-like virtual environment to help students learn to program, provides an interface for students to write their own Python code and visualize the code execution (Roberge 2005). RUR-PLE provides a fixed sequence of learning lessons for students to explore. We are extending RUR-PLE to develop the Playing to Program (PtP) ITS, which consists of three components: (1) a Bayesian student model that tracks student competence, (2) a diagnosis module that provides tailored feedback to students, and (3) a problem selection module that guides the student{\textquoteright}s learning process. In this paper, we summarize RUR-PLE and the PtP design, and describe an ongoing user study to evaluate the predictive accuracy of our student modeling approach.},
	url = {http://www.aaai.org/ocs/index.php/EAAI/EAAI11/paper/viewPaper/3497},
	author = {desJardins, Marie and Ciavolino,Amy and Deloatch,Robert and Feasley,Eliana}
}
