Faculty Advisor

Michael A. Gennert

Faculty Advisor

Elke A. Rundensteiner

Faculty Advisor

Neil T. Heffernan

Abstract

Student gaming behavior in intelligent tutoring systems (ITS) has been correlated with lower learning rates. The goal of this work is to identify such behavior, produce interventions to discourage this behavior, and by doing so hopefully improve the learning rate of students who would normally display gaming behavior. Detectors have been built to identify gaming behavior. Interventions have been designed to discourage the behavior and their evaluation is discussed.

Publisher

Worcester Polytechnic Institute

Degree Name

MS

Department

Computer Science

Project Type

Thesis

Date Accepted

2010-05-03

Accessibility

Unrestricted

Subjects

knowledge tracing, gaming the system, assistment, intelligent tutoring system

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