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A Study of Adaptive Computer Assisted Instruction

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Degree
MS, University of Cincinnati, Engineering : Computer Science, .
Abstract
This thesis provides a standard procedure for developing Adaptive CAI lessons, and fully utilizes the interactive features of web-based learning through Arthur. Arthur is an Adaptive Computer-Assisted-Instruction (CAI) program. Offering multiple presentation methods, Arthur is considered Adaptive CAI because it can shift from one presentation mode to another based on the learner’s demonstration of understanding the material. As Arthur is still in the experimental stages, it is not easily used by a novice or intermediate user. This presents a problem for the faculty member who is not an expert computer user. Developing CAI media is difficult enough, developing Adaptive CAI media is even more so. Without expert computer skills, a faculty member alone could not create lessons for this (and most other CAI) paradigms. The main idea of this thesis was to divide the work between a Faculty member as the expert in his/her subject, and an Instructional Designer who works with a multimedia team and the technology. This division of the work has demonstrated success with conventional CAI, and worked well in this study.
Subject Headings
Computer Science
Keywords
adaptive; computer; assisted; instruction; learning
Advisor
Dr. Chia Yung Han
Pages
113p.

Document number: ucin1006187967
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