Document Type thesis Author Name Walonoski, Jason A URN etd-010806-205001 Title Visual Feedback for Gaming Prevention in Intelligent Tutoring Systems Degree MS Department Computer Science Advisors Neil Heffernan, Advisor Carolina Ruiz, Reader Michael Gennert, Department Head Keywords Intelligent Tutoring Systems Machine Learning Behavior Learning Date of Presentation/Defense 2005-12-02 Availability unrestricted
A major issue in Intelligent Tutoring Systems is off-task student behavior, especially performance-based gaming, where students systematically exploit tutor behavior in order to advance through a curriculum quickly and easily, with as little active thought directed at the educational content as possible. The goal of this research was to explore the phenomena of off-task gaming behavior within the Assistments system, as well as to develop a passive visual indicator to deter and prevent off-task gaming behavior without active intervention via graphical feedback to the student and teachers. Traditional active intervention approaches were also constructed for comparison purposes, and machine-learned gaming-detection models were developed as a potential invocation and evaluation mechanism. Passive graphical interventions have been well received by teachers, and results are suggestive that they are effective at reducing off-task gaming behavior.
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