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.http://archive.org/details/intelligentcompu00bernLieutenant, United States NavyApproved for public release; distribution is unlimited
