ML Anthology

SCoT: A Spoken Conversational Tutor

Karl Schultz, Brady Clark, Heather Pon-Barry, Elizabeth Owen Bratt, Stanley Peters
AAAI 2004 pp. 1036-1037
/aaai/2004/schultz2004aaai-scot/

Abstract

We describe SCoT, a Spoken Conversational Tutor, which has been implemented in order to investigate the advantages of natural language in tutoring, especially spoken language. SCoT uses a generic architecture for conversational intelligence which has capabilities such as turn management and coordination of multi-modal input and output. SCoT also includes a set of domain independent tutorial recipes, a domain specific production-rule knowledge base, and many natural language components including a bi-directional grammar, a speech recognizer, and a text-to-speech synthesizer. SCoT leads a reflective tutorial discussion based on the details of a problem solving session with a real-time Navy shipboard damage control simulator. The tutor attempts to identify and remediate gaps in the student's

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Text

Schultz et al. "SCoT: A Spoken Conversational Tutor." AAAI Conference on Artificial Intelligence, 2004.

Markdown

[Schultz et al. "SCoT: A Spoken Conversational Tutor." AAAI Conference on Artificial Intelligence, 2004.](https://mlanthology.org/aaai/2004/schultz2004aaai-scot/)

BibTeX

@inproceedings{schultz2004aaai-scot,
  title     = {{SCoT: A Spoken Conversational Tutor}},
  author    = {Schultz, Karl and Clark, Brady and Pon-Barry, Heather and Bratt, Elizabeth Owen and Peters, Stanley},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2004},
  pages     = {1036-1037},
  url       = {https://mlanthology.org/aaai/2004/schultz2004aaai-scot/}
}