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AIED
2011
Springer
12 years 9 months ago
Detecting Carelessness through Contextual Estimation of Slip Probabilities among Students Using an Intelligent Tutor for Mathema
A student is said to have committed a careless error when a student’s answer is wrong despite the fact that he or she knows the answer (Clements, 1982). In this paper, educationa...
Maria Ofelia Clarissa Z. San Pedro, Ryan Shaun Joa...
AIED
2007
Springer
13 years 11 months ago
Predicting Students' Performance with SimStudent: Learning Cognitive Skills from Observation
SimStudent is a machine-learning agent that learns cognitive skills by demonstration. SimStudent was originally built as a building block for Cognitive Tutor Authoring Tools to hel...
Noboru Matsuda, William W. Cohen, Jonathan Sewall,...
EDM
2008
96views Data Mining» more  EDM 2008»
13 years 6 months ago
Labeling Student Behavior Faster and More Precisely with Text Replays
We present text replays, a method for generating labels that can be used to train classifiers of student behavior. We use this method to label data as to whether students are gamin...
Ryan Shaun Joazeiro de Baker, Adriana M. J. B. de ...
AIED
2009
Springer
13 years 12 months ago
I learn from you, you learn from me: How to make iList learn from students
We developed a new model for iList, our system that helps students learn linked list. The model is automatically extracted from past student data, and allows iList to track student...
Davide Fossati, Barbara Di Eugenio, Stellan Ohlsso...
AIED
2009
Springer
13 years 8 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