NLP Techniques in Intelligent Tutoring Systems

@inproceedings{BoonthumDenecke2009NLPTI,
  title={NLP Techniques in Intelligent Tutoring Systems},
  author={Chutima Boonthum-Denecke and Irwin B. Levinstein and Danielle S. McNamara and Joseph Magliano and Keith K. Millis},
  booktitle={Encyclopedia of Artificial Intelligence},
  year={2009}
}
Many Intelligent Tutoring Systems (ITSs) aim to help students become better readers. The computational challenges involved are (1) to assess the students’ natural language inputs and (2) to provide appropriate feedback and guide students through the ITS curriculum. To overcome both challenges, the following non-structural Natural Language Processing (NLP) techniques have been explored and the first two are already in use: word-matching (WM), latent semantic analysis (LSA, Landauer, Foltz… CONTINUE READING

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