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.
Worcester Polytechnic Institute
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Walonoski, Jason A., "Visual Feedback for Gaming Prevention in Intelligent Tutoring Systems" (2006). Masters Theses (All Theses, All Years). 23.
Intelligent Tutoring Systems, Machine Learning, Behavior, Learning, Intelligent tutoring systems, Simulation games in education