Innovative Tools to Assess Systems Thinking Ability

Abstract

Systems thinking ability (STA) is defined as a constellation of closely related abilities that enable individuals to (a) identify the elements of a system, (b) understand system relationships, (c) evaluate and revise system models, and (d) apply an integrated understanding of the system to a problem. Numerous jobs in the Army require Soldiers to work with or within systems. Given the pervasiveness of systems across Army jobs and requirements, the U.S. Army Research Institute for the Behavioral and Social Sciences (ARI) is exploring means to identify personnel who have an aptitude for systems thinking would be a useful tool for selection and classification. Five key cognitive attributes were identified as conceptually relevant to STA: Hierarchical Working Memory Capacity, Spatial Ability, Cognitive Flexibility, Pattern Recognition, and Cognitive Complexity. Assessment approaches were developed for each of five cognitive attributes identified and data was collected using a sample of workers from Amazon Mechanical Turk. Preliminary construct validation results indicated support for most measures. Convergent and discriminant relationships were generally significant and in the expected direction, though of moderate magnitude.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2017
Accession Number
AD1045468

Entities

People

  • Alexander P. Wind
  • Chelsey Raber
  • Cory Adis
  • Kristophor G. Canali
  • Michelle Wisecarver

Tags

Communities of Interest

  • Biomedical
  • Cyber
  • Human Systems

DTIC Thesaurus Topics

  • Applied Psychology
  • Brain
  • Cognition
  • Cognitive Science
  • Computer Vision
  • Geometric Forms
  • Human Behavior
  • Information Processing
  • Mental Processes
  • Pattern Recognition
  • Personality
  • Psychology
  • Recognition
  • Social Psychology
  • Social Sciences
  • Thinking
  • Three Dimensional

Readers

  • Instructional Design and Training Evaluation.
  • Organizational Psychology.
  • Systems Analysis and Design

Technology Areas

  • AI & ML