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» Detecting Student Misuse of Intelligent Tutoring Systems
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AIED
2011
Springer
12 years 11 months ago
Towards Predicting Future Transfer of Learning
: We present an automated detector that can predict a student’s future performance on a transfer post-test, a post-test involving related but different skills than the skills stu...
Ryan Shaun Joazeiro de Baker, Sujith M. Gowda, Alb...
AIED
2011
Springer
12 years 11 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...
FLAIRS
2006
13 years 9 months ago
Cohesion and Learning in a Tutorial Spoken Dialog System
Two measures of lexical cohesion were developed and applied to a corpus of human-computer tutoring dialogs. For both measures, the amount of cohesion in the tutoring dialog was fo...
Arthur Ward, Diane J. Litman
EDM
2009
153views Data Mining» more  EDM 2009»
13 years 5 months ago
Automatic Detection of Student Mental Models During Prior Knowledge Activation in MetaTutor
This paper presents several methods to automatically detecting students' mental models in MetaTutor, an intelligent tutoring system that teaches students self-regulatory proce...
Vasile Rus, Mihai C. Lintean, Roger Azevedo
ICTAI
1999
IEEE
13 years 12 months ago
A Practical Student Model in an Intelligent Tutoring System
In this paper we consider two questions related to student modeling in an intelligent tutoring system: 1) What kind of student model should we build when we design a new system; 2...
Yujian Zhou, Martha W. Evens