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\title{Patterns for debugging student programs}
\author{TODO}
\institute{University of Ljubljana, Faculty of Computer and Information Science, Slovenia}
\maketitle

\begin{abstract}
We propose new program features to support mining data from student submissions in a programming tutor. We extract syntax-tree patterns from student programs, and use them as features to induce rules for predicting program correctness. Discovered rules allow us to correctly classify a large majority of submissions based only on their structural features. Rules can be used to recognize intent, and provide hints in a programming tutor by pointing out incorrect or missing patterns. Evaluating out approach on past student data, we were able to find errors in over 80\% of incorrect submissions.
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\textbf{Keywords:} Intelligent tutoring systems · Programming · Hint generation
\end{abstract}

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