Analyzing the Relative Cost, Effectiveness and Suitability of Synchronous Training Versus Traditional On-site Training Approaches (Joint Applied Project)

Abstract

The purpose of this Joint Applied Project (JAP) was to determine, through data collection, any life-cycle cost savings of a synchronous training approach versus the more traditional on-site new equipment training (NET) approach. With Army units and equipment deployed throughout the world, the cost of providing on-site training can be prohibitive. The Army has made effective use of distance learning approaches to meet both career training objectives (e.g. Defense Acquisition University (DAU) and Naval Postgraduate School (NPS)) and workplace training requirements (e.g. ethics and security). Similar approaches to replace on-site training for equipment, especially NET, could result in not only cost savings, but also result in better use of training personnel due to reduced travel time. The primary concern with this synchronous training approach is the quality and effectiveness of training. By drawing on expertise of both Program Management Offices as well as other life-long learning-based institutions (i.e. DAU, Naval Postgraduate School personnel for expertise in distance learning, the Army acquisition programs could be able to replace a significant portion of on-site training with synchronous training.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2012
Accession Number
ADA562151

Entities

People

  • Benjamin A. Pryor
  • Willard Betts

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Army Procurement
  • Audiovisual Aids
  • Distance Learning
  • Doctrine
  • Education
  • Health Services
  • Instructors
  • Military Acquisition
  • Military Science
  • Mobile Phones
  • Program Management
  • Students
  • Test And Evaluation
  • Training
  • Training Devices
  • Training Management
  • Video Teleconferencing

Fields of Study

  • Education

Readers

  • Defense Acquisition Program Management
  • Neural Network Machine Learning.
  • STEM Education