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DNA - Uncorking the bottleneck in knowledge elicitation and organization

Producción científica: Conference contribution

Resumen

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.

Idioma originalEnglish (US)
Título de la publicación alojadaIntelligent Tutoring Systems - 4th International Conference, ITS 1998, Proceedings
EditoresBarry P. Goettl, Valerie J. Shute, Henry M. Halff, Carol L. Redfield
EditorialSpringer Verlag
Páginas146-155
Número de páginas10
ISBN (versión impresa)3540647708, 9783540647706
DOI
EstadoPublished - 1998
Publicado de forma externa
Evento4th International Conference on Intelligent Tutoring Systems, ITS 1998 - San Antonio, United States
Duración: ago 16 1998ago 19 1998

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen1452
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conference

Conference4th International Conference on Intelligent Tutoring Systems, ITS 1998
País/TerritorioUnited States
CiudadSan Antonio
Período8/16/988/19/98

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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