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CHI
2007
ACM
14 years 9 months ago
Modeling and understanding students' off-task behavior in intelligent tutoring systems
We present a machine-learned model that can automatically detect when a student using an intelligent tutoring system is off-task, i.e., engaged in behavior which does not involve ...
Ryan Shaun Joazeiro de Baker
EDM
2009
107views Data Mining» more  EDM 2009»
13 years 6 months ago
Differences Between Intelligent Tutor Lessons, and the Choice to Go Off-Task
Recent research has suggested that differences between intelligent tutor lessons predict a large amount of the variance in the prevalence of gaming the system [4]. Within this pape...
Ryan Baker
AIED
2009
Springer
13 years 12 months ago
Modeling Helping Behavior in an Intelligent Tutor for Peer Tutoring
Giving effective help is an important collaborative skill that leads to improved learning for both the help-giver and help-receiver. Adding intelligent tutoring to student interact...
Erin Walker, Nikol Rummel, Kenneth R. Koedinger
ITS
2004
Springer
239views Multimedia» more  ITS 2004»
14 years 1 months ago
Detecting Student Misuse of Intelligent Tutoring Systems
Recent research has indicated that misuse of intelligent tutoring software is correlated with substantially lower learning. Students who frequently engage in behavior termed “gam...
Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Ko...
EDM
2010
165views Data Mining» more  EDM 2010»
13 years 10 months ago
Effort-based Tutoring: An Empirical Approach to Intelligent Tutoring
We describe pedagogical and student modeling based on past student interactions with a tutoring system. We model student effort with an integrated view of student behaviors (e.g. t...
Ivon Arroyo, Hasmik Meheranian, Beverly Park Woolf