@INPROCEEDINGS{ITS06,
  author = {Amershi, S. and Conati, C.},
  title = {Automatic Recognition of Learner Groups in Exploratory
Learning Environments},
  booktitle = {Proceedings of Intelligent Tutoring Systems (ITS 2006)},
  year = {2006},
  pages = {463--472},
  abstract = {In this paper, we present the application of unsupervised learning
	techniques to automatically recognize behaviors that may be detrimental to
	learning during interaction with an Exploratory Learning Environment (ELE).
	First, we describe how we use the k-means clustering algorithm for off-line
	identification of learner groups with distinguishing interaction
patterns who also
	show similar learning improvements with an ELE. We then discuss how a kmeans
	on-line classifier, trained with the learner groups detected off-line, can
	be used for adaptive support in ELEs. We aim to show the value of a data-based
	approach for recognizing learners as an alternative to
knowledge-based approaches
	that tend to be complex and time-consuming even for domain experts,
	especially in highly unstructured ELEs.}
}