CRESST Human Performance Knowledge Mapping Tool Authoring System

Abstract

The UCLA National Center for Research on Evaluation, Standards, and Student Testing (CRESST) designed and developed a knowledge mapping authoring system intended to be simple and user-friendly, requiring a minimal number of clicks to navigate, but highly functional. The authoring system is intended to allow a diverse set of users to create, modify, adapt, and reuse knowledge mapping tasks. Various scoring options provide information on student performance on different dimensions and at different levels of stringency. The system stores student data and thus performance can be monitored over time. This report introduces knowledge mapping and provides guidelines on the creation of knowledge mapping tasks, and then describes the operation of the CRESST Human Performance Knowledge Mapping Tool Authoring System.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2004
Accession Number
ADA451467

Entities

People

  • Adriana A. De Souza E Silva
  • Alicia M. Heak
  • Eva L. Baker
  • Farzad Saadat
  • Gregory K. Chung
  • Joanne K. Michiuye
  • Ravi Sinha
  • William L. Bewley

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Biological Sciences
  • Cardiovascular System
  • Cognitive Systems Engineering
  • Computers
  • Distance Learning
  • Ecology
  • Education
  • Instructions
  • Language
  • Motor Skills
  • Physiology
  • Psychology
  • Schools
  • Standards
  • Students
  • Test And Evaluation
  • User Friendly

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Instructional Design and Training Evaluation.