Approaches to Managing Future Training

Abstract

This report explores issues related to managing adaptable training in the future, when Future Combat Systems (FCS), embedded training (ET) capabilities, and a full range of personnel management tools are the norm for daily operations. The report first discusses the issues associated with management of future training and related current and emerging Army initiatives, FCS documentation, and previous research findings. The five principal issues concern the vision and expectation for future training; the tools and information that would be needed; how the tools and information could be provided using automated channels; what level of automation users will accept; and the nature of near-term solutions. The concept for a future training management system, is described through use cases that detail the use of specific tools and information. Based on analysis of the use cases, technology needs are described in five areas: massive database systems, bi-directional reach (both accessing and sending needed information), sophisticated self-learning search engines, performance support systems and computer-generated simulations powered by artificial intelligence, and super-broad bandwidth. We then present a set of detailed recommendations, including priorities, interim solutions for near-term development, and directions for further research and development in both training and technology realms.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2006
Accession Number
ADA444537

Entities

People

  • Charlotte H. Campbell
  • Christopher R. Graves
  • James R. Grossman
  • Michael R. Flynn
  • Roy C. Campbell

Organizations

  • Human Resources Research Organization

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Army Personnel
  • Artificial Intelligence
  • Computational Science
  • Computers
  • Control Systems
  • Distance Learning
  • Doctrine
  • Education
  • Employment
  • Information Systems
  • Management Personnel
  • Natural Language Processing
  • Personnel Management
  • Students
  • Task Performance And Analysis
  • Training
  • Training Management

Fields of Study

  • Computer science

Readers

  • Military Training and Readiness Simulation
  • Software Engineering.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy