An intelligent computer-aided instruction system for Naval ship recognition

Abstract

This thesis discusses the design and implementation of an intelligent computer-aided instruction system for Naval ship recognition. The system uses artificial-intelligence techniques to provide an interactive tutoring environment. The student's abilities for ship recognition are tested using randomly selected side-view photos. The student's response is compared to the correct ship in an expert module. If the response is incorrect the features of the correct ship are compared with those of the incorrect ship to formulate a hypothesis concerning the student's misconceptions. Tutoring strategies are chosen based on this comparison. The system provides a recognition test, a summary review and an individual photo review. A review of recognition features for each ship is supplied during the recognition test. A final summary is generated at the end of testing.