Date of Award

3-2022

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Electrical and Computer Engineering

First Advisor

Mark G. Reith, PhD

Abstract

The United States military must continue to innovate and improve the way we fight and defend against our near-peer adversaries. Emerging technologies such as machine learning, artificial intelligence, and reverse engineering are paving the way for an increasingly complex security environment. A core tenant of winning in this new era of warfare is how we educate and train our military force. Many of the online trainings made available to service members today fall short in the implementation of existing learning theories.

AFIT Designator

AFIT-ENG-MS-22-M-076

DTIC Accession Number

AD1173313

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