Detection and Analysis of Off-Task Gaming Behavior in Intelligent Tutoring Systems
نویسندگان
چکیده
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. Machine-learned gaming-detection models were developed to investigate underlying factors related to gaming, and an analysis of gaming within the Assistments system was conducted to compare some of the findings of prior studies.
منابع مشابه
Prevention of Off-Task Gaming Behavior in Intelligent Tutoring Systems
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Detection and prevention of off-task student behavior in an Intelligent Tutoring System (ITS) has gained a significant amount of attention in recent years. Previous work in these areas have shown some success and improvement. However, the research has largely ignored the incorporation of the expert on student behavior in the classroom: the teacher. Our research re-evaluates the subjects of off-...
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تاریخ انتشار 2006