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@inproceedings{clarkECML1991,
	author =       "Peter Clark and Robin Boswell",
	title =        "Rule Induction with {CN}2: Some Recent Improvements",
	booktitle =    "Machine Learning - Proceeding of the Fifth Europen
	Conference (EWSL-91)",
	year =         "1991",
	address =  "Berlin",
	pages =        "151-163"
}

@article{demsar2013orange,
	author  = {Janez Demšar and Tomaž Curk and Aleš Erjavec and Črt Gorup and Tomaž Hočevar and Mitar Milutinovič and Martin Možina and Matija Polajnar and Marko Toplak and Anže Starič and Miha Štajdohar and Lan Umek and Lan Žagar and Jure Žbontar and Marinka Žitnik and Blaž Zupan},
	title   = {Orange: Data Mining Toolbox in Python},
	journal = {Journal of Machine Learning Research},
	year    = {2013},
	volume  = {14},
	pages   = {2349-2353},
	url     = {http://jmlr.org/papers/v14/demsar13a.html}
}

@article{glassman2015overcode,
  title={{OverCode}: Visualizing variation in student solutions to programming problems at scale},
  author={Glassman, Elena L and Scott, Jeremy and Singh, Rishabh and Guo, Philip J and Miller, Robert C},
  journal={ACM Transactions on Computer-Human Interaction (TOCHI)},
  volume={22},
  number={2},
  pages={7},
  year={2015},
  publisher={ACM}
}

@inproceedings{hovemeyer2016control,
  title={Control-flow-only abstract syntax trees for analyzing students' programming progress},
  author={Hovemeyer, David and Hellas, Arto and Petersen, Andrew and Spacco, Jaime},
  booktitle={Proceedings of the 2016 ACM Conference on International Computing Education Research},
  pages={63--72},
  year={2016},
  organization={ACM}
}

@inproceedings{huang2013syntactic,
  title = {Syntactic and functional variability of a million code submissions in a machine learning {MOOC}},
  author = {Huang, Jonathan and Piech, Chris and Nguyen, Andy and Guibas, Leonidas},
  booktitle = {Proc. Workshops 16th Int'l Conf. Artificial Intelligence in Education (AIED 13)},
  pages = {25--32},
  year = {2013},
}

@inproceedings{jin2012program,
  title={Program representation for automatic hint generation for a data-driven novice programming tutor},
  author={Jin, Wei and Barnes, Tiffany and Stamper, John and Eagle, Michael John and Johnson, Matthew W and Lehmann, Lorrie},
  booktitle={Proc. 11th Int'l Conf. Intelligent Tutoring Systems (ITS 12)},
  pages={304--309},
  year={2012},
}

@inproceedings{lazar2017automatic,
  title={Automatic Extraction of AST Patterns for Debugging Student Programs},
  author={Lazar, Timotej and Možina, Martin and Bratko, Ivan},
  booktitle={International Conference on Artificial Intelligence in Education},
  pages={162--174},
  year={2017},
  organization={Springer}
}

@inproceedings{levy2006tregex,
  title={Tregex and Tsurgeon: tools for querying and manipulating tree data structures},
  author={Levy, Roger and Andrew, Galen},
  year={2006},
  booktitle={5th International Conference on Language Resources and Evaluation (LREC 2006)}
}

@article{Mozina:2007,
	author	=	{Martin Mo\v{z}ina and Jure \v{Z}abkar and Ivan Bratko},
	title	=	{Argument-Based Machine Learning},
	journal	=	{Artificial Intelligence},
	volume	=	{171},
	number	=	{10/15},
	year	=	{2007},
	pages	=	{922-937}
}

@inproceedings{nguyen2014codewebs,
  title={Codewebs: scalable homework search for massive open online programming courses},
  author={Nguyen, Andy and Piech, Christopher and Huang, Jonathan and Guibas, Leonidas},
  booktitle={Proc. 23rd Int'l World Wide Web Conf. (WWW 14)},
  pages={491--502},
  year={2014},
  COMMENTorganization={ACM},
}

@inproceedings{piech2015autonomously,
  title={Autonomously generating hints by inferring problem solving policies},
  author={Piech, Chris and Sahami, Mehran and Huang, Jonathan and Guibas, Leonidas},
  booktitle={Proc. 2nd ACM Conference on Learning @ Scale (L@S 2015)},
  pages={195--204},
  year={2015},
  organization={ACM},
}

@article{piech2015learning,
  title={Learning program embeddings to propagate feedback on student code},
  author={Piech, Chris and Huang, Jonathan and Nguyen, Andy and Phulsuksombati, Mike and Sahami, Mehran and Guibas, Leonidas},
  journal={arXiv preprint arXiv:1505.05969},
  year={2015}
}

@article{rivers2015data-driven,
  title={Data-Driven Hint Generation in Vast Solution Spaces: a Self-Improving {Python} Programming Tutor},
  author={Rivers, Kelly and Koedinger, Kenneth R},
  journal={International Journal of Artificial Intelligence in Education},
  pages={1--28},
  year={2015},
  doi={10.1007/s40593-015-0070-z},
  url={http://dx.doi.org/10.1007/s40593-015-0070-z},
}