Generally I am interested in utilizing semantic resources and machine learning for natural language processing. Currently I am working on dialogue modeling and characterization for intelligent tutoring systems. Of particular relevance to this research are the tasks of characterizing and learning the underlying structure of tutorial dialogue. Related to this work are sub-tasks of question selection, ranking, and generation. Recently I have become increasingly interested in utilizing data mining techniques for educational contexts, and I am especially interested in the prospect of applying natural language processing and text mining techniques to learn more about students. The wide availablity of student data, test scores, and transcripts can help us to better understand the phenomena at work in learning.
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