DNA - Uncorking the bottleneck in knowledge elicitation and organization

Valerie J. Shute, Lisa A. Torreano, Ross E. Willis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations


There are two main purposes of this paper. First, we describe a novel cognitive tool that was designed to aid in knowledge elicitation and organization for instructional purposes – specifically to be used for intelligent tutoring system development. This automated approach to knowledge elicitation is embodied in a program called DNA (Decompose, Network, Assess). Our aim for this tool is to increase the efficiency of developing the expert model – often referred to as the bottleneck in developing intelligent instructional systems. The second purpose is to present a first-order summative evaluation of the tool's efficacy. Specifically, we used DNA with three statistical experts to explicate their knowledge structures related to measures of central tendency. In short, we found that DNA can be used as a standalone program to effectively elicit relevant information on which to build instruction. This was achieved in hours compared to months for conventional elicitation procedures.

Original languageEnglish (US)
Title of host publicationIntelligent Tutoring Systems - 4th International Conference, ITS 1998, Proceedings
EditorsBarry P. Goettl, Valerie J. Shute, Henry M. Halff, Carol L. Redfield
PublisherSpringer Verlag
Number of pages10
ISBN (Print)3540647708, 9783540647706
StatePublished - 1998
Externally publishedYes
Event4th International Conference on Intelligent Tutoring Systems, ITS 1998 - San Antonio, United States
Duration: Aug 16 1998Aug 19 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference4th International Conference on Intelligent Tutoring Systems, ITS 1998
Country/TerritoryUnited States
CitySan Antonio

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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