Document Type thesis Author Name Lloyd, Nicholas M URN etd-050307-134149 Title Measuring Student Engagement in an Intelligent Tutoring System Degree MS Department Computer Science Advisors Neil Heffernan, Advisor Carolina Ruiz, Reader Michael Gennert, Department Head Keywords Intelligent Tutoring Systems Behavior Learning Visualization Date of Presentation/Defense 2007-04-19 Availability unrestricted
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-task behavior detection and prevention by developing metrics for student engagement in an ITS using teacher observations of student behavior in the classroom. We present an exploratory analysis of such metrics and the data gathered from the teachers. For off-task prevention we developed a visual reporting tool that displays a representation of a student’s activity in an ITS as they progress and gives a valuable immediate report for the instructor.
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