Factors Influencing the Effectiveness of Systems Engineering Training and Education in the Department of Defense

Abstract

While current systems engineering certification courses within the Department of Defense appear to do a pretty good job of training and educating the workforce improvements can be made. The use of more problem-based methods of learning would equip the students with better problem identification and reasoning skills needed to solve the complex problems they encounter on the job. Learning outcomes in some of these courses could be rewritten to target the analyze evaluate, and create levels of Bloom's Taxonomy, thereby improving student critical thinking skills and ultimately improving far-transfer of learning to the job. Also learning assessment methods in a few of the courses could be changed to focus more on the assessment of conceptual understanding, vice rote memorization, in order to promote deep learning. Recommendations are also presented for additional research into a more effective systems engineering andragogy.

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Document Details

Document Type
Technical Report
Publication Date
Apr 30, 2011
Accession Number
ADA543993

Entities

People

  • William Fast

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Cognition
  • Computer Science
  • Computer-Aided Instruction
  • Deep Learning
  • Department Of Defense
  • Education
  • Engineering
  • Engineers
  • Instructors
  • Materials Science
  • Psychology
  • Public Policy
  • Students
  • Systems Engineering
  • Systems Management
  • Training

Fields of Study

  • Education

Readers

  • Educational Psychology
  • Instructional Design and Training Evaluation.
  • STEM Education

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks