Electronic Theses and Dissertations

Identifier

97

Lu Han

Date

2010

Document Type

Thesis

Degree Name

Master of Science

Major

Electrical and Computer Engr

Concentration

Computer Engineering

Committee Chair

Mohammed Yeasin

Committee Member

David J Russomanno

Committee Member

Andrew McGregor Olney

Abstract

The Intelligent Tutoring System (ITS) is a very efficient form of e-Learning, but most of the current existing ITSs usually require advanced computational resources and specialized client software installation. Thus, there is a need for an ITS that is accessible online and is less computationally demanding. The immediate objective of this thesis is to describe the implementation of an online tutoring system that requires fewer computational resources. This system is called AutoTutor Lite, which runs in a web browser. Another objective is to use the Learner’s Characteristics Curves (LCC) as the evaluation method in AutoTutor Lite. By utilizing the semantic representation, the LCC technology is successfully integrated into AutoTutor Lite. In the final system test and evolution, AutoTutor Lite meets all the design requirements, and LCC plays an important role in the system.

Comments

Data is provided by the student.

Library Comment

Dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.

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