Date of Award

12-1991

Document Type

Thesis

Degree Name

Master of Science

First Advisor

Charles R. Fenno, PhD

Abstract

This research developed an approach for adapting a resident graduate course, offered by the School of Systems and Logistics, for delivery to remote students through distance education resources and techniques. A review of literature-along with personal interviews of professionals from the fields of education, telecommunications, and technology-provided the information for a model of distance education and an assessment of AFIT's existing and near future resources that may be applied to distance delivery of graduate courses. Semantic network construction software was used to organize the information gathered for the distance education model. Key concepts were distilled from the conceptually multi-dimensional semantic network and presented in two-dimensional, hierarchical concept maps. The distance education model presented concept maps of key concepts with text highlighting these concepts and organized in keeping with the structure reflected in the concept maps. AFIT's Academic Instructional System (AIS) provided a general procedural guideline for the design and development of graduate instruction. The research integrated knowledge of distance education-reflected in the distance education model-knowledge of AFIT's existing and near future resources, the AIS process, and cognitive activities into a course adaptation approach. The approach was demonstrated by application to a representative graduate course.

AFIT Designator

AFIT-GIR-LSR-91D-9

DTIC Accession Number

ADA243887

Comments

The author's Vita page is omitted.

Presented to the Faculty of the School of Systems and Logistics

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