Faculty Advisor

Professor Michael Gennert

Faculty Advisor

Professor Neil T. Heffernan

Faculty Advisor

Professor Gary Pollice

Abstract

"Intelligent tutoring systems (ITSs) are computer based tutoring systems that provide individualized tutoring to the students. Building an ITS is recognized to be expensive task in terms of cost and resources. Authoring tools provide a framework and an environment for building the ITSs that help to reduce the resources like skills, time and cost required to build an intelligent tutoring system. In this thesis we have implemented the Cognitive Tutor Authoring Tools (CTAT) and performed experiments to empirically determine the common programming errors that authors tend to make while building an ITS and study what is hard in authoring an ITS. The CTAT were used in a graduate class at Worcester Polytechnic Institute and also at the 4th Summer school organized at the Carnegie Mellon University. Based on the analysis of the experiments we suggest future work to reduce the debugging time and thereby reduce the time required to author an ITS. We also implemented the model tracing algorithm in JESS, evaluated its performance and compared to that of the model tracing algorithm in TDK. This research is funded by the Office of Naval Research (Grant # N00014-0301-0221)."

Publisher

Worcester Polytechnic Institute

Degree Name

MS

Department

Computer Science

Project Type

Thesis

Date Accepted

2004-08-25

Accessibility

Unrestricted

Subjects

Cognitive Tutor, Debugging Tool, JESS production system, Intelligent Tutoring Systems, Model Tracing, Authoring Tools, Intelligent tutoring systems, Authoring tools

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