Mark L. Dyson

Date of Award


Document Type


Degree Name

Master of Science


Department of Electrical and Computer Engineering

First Advisor

Eugene Santos, PhD


A review of the literature relating to intelligent tutoring systems (ITS) reveals that the bulk of research to date is focused on the student, and on methods for representing the knowledge itself. From student models to learning schemas to presentation methods, comparatively little attention has been paid to the problem of educators attempting to build viable lesson plans for use in an ITS environment--yet when this problem is addressed in the literature, it is recognized as a potentially daunting one. This thesis addresses the problem of ITS lesson plan development by proposing a practical, computable approach for knowledge engineering that is based on proven classroom methods. The document then details a system for dynamically creating lesson plans from a knowledge base created under the described methodology, using already-established algorithms of proven tractability, and then discusses how this system can be integrated into existing and future ITS design.

AFIT Designator


DTIC Accession Number