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» A Phoneme-Based Student Model for Adaptive Spelling Training
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ICALT
2007
IEEE
13 years 11 months ago
Bayesian Modelling of Confusability of Phoneme-Grapheme Connections
Deficiencies in the ability to map letters to sounds are currently considered to be the most likely early signs of dyslexia [4]. This has motivated the use of Literate, a compute...
Mikko Vilenius, Janne V. Kujala, Ulla Richardson, ...
UM
2010
Springer
13 years 9 months ago
Ranking Feature Sets for Emotion Models Used in Classroom Based Intelligent Tutoring Systems
Abstract. Recent progress has been made by using sensors with Intelligent Tutoring Systems in classrooms in order to predict the affective state of students users. If tutors are a...
David G. Cooper, Kasia Muldner, Ivon Arroyo, Bever...
EDM
2008
127views Data Mining» more  EDM 2008»
13 years 6 months ago
Adaptive Test Design with a Naive Bayes Framework
Bayesian graphical models are commonly used to build student models from data. A number of standard algorithms are available to train Bayesian models from student skills assessment...
Michel C. Desmarais, Alejandro Villarreal, Michel ...
DSMML
2004
Springer
13 years 10 months ago
Can Gaussian Process Regression Be Made Robust Against Model Mismatch?
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
Peter Sollich
LREC
2010
155views Education» more  LREC 2010»
13 years 6 months ago
WTIMIT: The TIMIT Speech Corpus Transmitted Over The 3G AMR Wideband Mobile Network
Due to upcoming mobile telephony services with higher speech quality, a wideband (50 Hz to 7 kHz) mobile telephony derivative of TIMIT has been recorded called WTIMIT. It allows a...
Patrick Bauer, David Scheler, Tim Fingscheidt