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» Detecting Student Misuse of Intelligent Tutoring Systems
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AIED
2009
Springer
14 years 2 months ago
Transfer Learning and Representation Discovery in Intelligent Tutoring Systems
We describe a novel framework developed for transfer learning within reinforcement learning (RL) problems. Then we exhibit how this framework can be extended to intelligent tutorin...
Kimberly Ferguson, Beverly Park Woolf, Sridhar Mah...
AIED
2007
Springer
14 years 1 months ago
Can Help Seeking Be Tutored? Searching for the Secret Sauce of Metacognitive Tutoring
In our on-going endeavor to teach students better help-seeking skills we designed a three-pronged Help-Seeking Support Environment that includes (a) classroom instruction (b) a Sel...
Ido Roll, Vincent Aleven, Bruce M. McLaren, Kennet...
AIED
2007
Springer
14 years 1 months ago
Benefits of Handwritten Input for Students Learning Algebra Equation Solving
Building on past results establishing a benefit for using handwriting when entering mathematics on the computer, we hypothesize that handwriting as an input modality may be able to...
Lisa Anthony, Jie Yang, Kenneth R. Koedinger
FLAIRS
1998
13 years 9 months ago
Responding to Unexpected Student Utterances in CIRCSIM-Tutor v.3: Analysis of Transcripts
CIRCSIM-Tutor is a dialogue-based intelligent tutoring system that conducts dialogues with medical students about blood pressure regulation. To obtain models for computergenerated...
Jung Hee Kim, Reva Freedman, Martha W. Evens
AIED
2005
Springer
14 years 1 months ago
Positive and negative verbal feedback for Intelligent Tutoring Systems
Abstract. We built three different versions of an ITS on a letter pattern extrapolation task: in one version, students only receive color-coded feedback; in the second, they receiv...
Barbara Di Eugenio, Xin Lu, Trina C. Kershaw, Andr...