An intelligent training system for helicopter recognition

Abstract

This thesis investigates the design and implementation of an intelligent computer-assisted instruction system for visual helicopter recognition training. We developed the Helicopter Recognition Tutor according to the four-component model of a generalized intelligent computer-assisted instruction system. The tutor system provides an interactive tutoring environment that teaches, reviews and tests visual helicopter recognition skills at a level-relevant to the student. It instructs the student at three different levels: the novice level, the intermediate level, and the expert level, based on the student's understanding of the Wing, Engine, Tail, Fuselage, Undercarriage, and Rotor (WETFUR) features of a particular helicopter.