Exploiting knowledge representation in an intelligent tutoring system for English lexical errors

Chiu Chen Hsieh, Tzong Han Tsai, D. Wible, Wen Lian Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Intelligent tutoring systems (ITSs) construction requires lots of domain knowledge created by hand. In this paper we attempt to illustrate a central role that knowledge representation can play in automating ITS design and implementation. We propose a diagnosis, interaction and treatment (DIT) model for ITS. The entire system relies upon a knowledge representation system (InfoMap) whose structured encoding of English lexical information makes it possible to (1) initiate the relevant dialogue with learners when the system is not sure about learners' intentions, (2) trigger the appropriate lexical knowledge based on their responses, and (3) automatically generate practice and test exercises based on this knowledge.

Original languageEnglish
Title of host publicationProceedings - International Conference on Computers in Education, ICCE 2002
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages115-116
Number of pages2
ISBN (Electronic)0769515096, 9780769515090
DOIs
StatePublished - 2002
EventInternational Conference on Computers in Education, ICCE 2002 - Auckland, New Zealand
Duration: 3 Dec 20026 Dec 2002

Publication series

NameProceedings - International Conference on Computers in Education, ICCE 2002

Conference

ConferenceInternational Conference on Computers in Education, ICCE 2002
Country/TerritoryNew Zealand
CityAuckland
Period3/12/026/12/02

Keywords

  • Error Diagnosis
  • Intelligent Tutoring System
  • Knowledge Representation

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