Task Clustering Methodology Comparison

Abstract

Before training may begin, certain decisions must be made concerning the who, what, when, where, why, and how of training. These determinations are critical if restricted funds are to be used wisely and necessary skills transmitted to personnel when these skills are needed. Clustering tasks into logical groups which should be trained together is one type of decision that may greatly assist in this process. This paper examines two ways of grouping tasks, one which is the method developed as part of the Training Decisions System (TDS) research and development effort and the other which is used operationally as part of the training development process. Several general points of comparison presented in a question-and-answer format will not change regardless of different Air Force specialties (AFSs). Specific points of comparison are presented for Heating System Specialist (AFS 5452X) and Security Police Specialist (AFS 811XX). The TDS method, which is a combination of quantitative and qualitative techniques offers several advantages over the other method, which is essentially a qualitative method currently used operationally. The TDS method takes much less time, takes advantage of statistical clustering techniques, includes the same potential for analyst input, and requires the same input from subject-matter experts in the field. Keywords: Average linkage clustering; Cluster diagram; Co-performance; Statistical clustering; Task clustering; Task training module.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1989
Accession Number
ADA217546

Entities

People

  • Jose M. Hernandez
  • Theodore A. Lamb
  • Tony Villanueva

Organizations

  • Universal Energy Systems

Tags

Communities of Interest

  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Combustion Chambers
  • Computers
  • Control Panels
  • Data Analysis
  • Feed Water
  • Human Resources
  • Maintenance
  • Materials
  • Measurement
  • Pressure Regulators
  • Safety Valves
  • Standards
  • Steam Traps
  • Task Performance And Analysis
  • United States

Fields of Study

  • Education

Readers

  • Computational Modeling and Simulation
  • Neural Network Machine Learning.
  • Occupational Health and Safety.