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» Detecting Student Misuse of Intelligent Tutoring Systems
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ITS
2004
Springer
239views Multimedia» more  ITS 2004»
13 years 10 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 6 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
AAAI
2006
13 years 6 months ago
A Dynamic Mixture Model to Detect Student Motivation and Proficiency
Unmotivated students do not reap the full rewards of using a computer-based intelligent tutoring system. Detection of improper behavior is thus an important component of an online...
Jeffrey Johns, Beverly Park Woolf
UM
2005
Springer
13 years 10 months ago
Detecting When Students Game the System, Across Tutor Subjects and Classroom Cohorts
Building a generalizable detector of student behavior within intelligent tutoring systems presents two challenges: transferring between different cohorts of students (who may devel...
Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Ko...
CHI
2007
ACM
14 years 5 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