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

機構典藏 > College of Foreign Languages and Literature > Graduate Institute & Department of English > Proceeding > Item 987654321/28566

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/28566

Title:	Exploiting knowledge representation in an intelligent tutoring system for English lexical errors
Authors:	衛友賢;Wible, David-scott;Hsieh, Chiu-chen;Tsai, Tzong-han;Hsu, Wen-lian
Contributors:	淡江大學英文學系
Date:	2002
Issue Date:	2010-01-07 10:21:34 (UTC+8)
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.
Relation:	International Conference on Computers and Education (ICCE)
Appears in Collections:	[Graduate Institute & Department of English] Proceeding

Files in This Item:

There are no files associated with this item.