Automating a Detailed Cognitive Task Analysis for Structuring Curriculum

Abstract

Our body of knowledge review relative to knowledge acquisition is currently being organized. We are creating a classification of methods along a continuum which reflects the degree to which a method for compiling knowledge is automated. We have identified three classes of methods: (1) Manual (e.g. interview, questionnaire, protocol analysis, card sorting, ordered trees, etc.); (2) Machine-Aided (e.g. functional decomposition, repertory grids, hierarchical scaling, multi-dimensional scaling, general, weighted networks, etc.) and Machine Compiled (e.g. induction, neural nets, EBL, genetic algorithms etc.). We have identified well over thirty methods form our review of the literature and we will be specifying the characteristics which both generalize and discriminate methods. We will then augment GOMS based upon lessons learned.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1991
Accession Number
ADA237008

Entities

People

  • Kent E. Williams

Organizations

  • Virginia Tech

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Classification
  • Curriculum
  • Databases
  • Decomposition
  • Engineering
  • Genetic Algorithms
  • Human-Machine Interfaces
  • Lessons Learned
  • Literature
  • Systems Approach
  • Systems Engineering
  • Task Performance And Analysis
  • Technical Information Centers
  • Universities

Readers

  • Artificial Intelligence
  • Instructional Design and Training Evaluation.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks
  • Biotechnology