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UM
2005
Springer
13 years 10 months ago
Modeling Students' Metacognitive Errors in Two Intelligent Tutoring Systems
Intelligent tutoring systems help students acquire cognitive skills by tracing students’ knowledge and providing relevant feedback. However, feedback that focuses only on the cog...
Ido Roll, Ryan Shaun Baker, Vincent Aleven, Bruce ...
ITS
2004
Springer
138views Multimedia» more  ITS 2004»
13 years 10 months ago
A Metacognitive ACT-R Model of Students' Learning Strategies in Intelligent Tutoring Systems
Research has shown that students’ problem-solving actions vary in type and duration. Among other causes, this behavior is a result of strategies that are driven by different goal...
Ido Roll, Ryan Shaun Baker, Vincent Aleven, Kennet...
ITS
2000
Springer
110views Multimedia» more  ITS 2000»
13 years 8 months ago
Limitations of Student Control: Do Students Know When They Need Help?
Intelligent tutoring systems often emphasize learner control: They let the students decide when and how to use the system's intelligent and unintelligent help facilities. This...
Vincent Aleven, Kenneth R. Koedinger
AIED
2009
Springer
13 years 11 months ago
The Relationship Between Modality and Metacognition While Interacting with AutoTutor
In this paper we explored the relationship between metacognitive statements and learning gains with students’ typed and spoken interactions with an intelligent tutoring system, c...
Jeremiah Sullins, Moongee Jeon, Sidney K. D'Mello,...
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