An intelligent computer-aided instruction system for Naval ship recognition
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Authors
Bernier, Denise R.
Subjects
Advisors
Rowe, Neil C.
Date of Issue
1989-06
Date
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
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.
Type
Thesis
Description
Series/Report No
Department
Computer Science
Organization
Naval Postgraduate School
Identifiers
NPS Report Number
Sponsors
Funder
Format
90 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.