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» Machine Learning Approaches for Inducing Student Models
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ICALT
2008
IEEE
14 years 1 months ago
Expertise Measure for Dynamic Task Selection within Intelligent Educational Systems
This paper presents a task selection model for personalised educational instruction. The proposed model is based on the student expertise level and it takes into account performan...
François Courtemanche, Mehdi Najjar, Andr&e...
ECTEL
2006
Springer
13 years 11 months ago
Bayesian Student Models Based on Item to Item Knowledge Structures
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
Michel Desmarais, Michel Gagnon
ICALT
2011
IEEE
12 years 7 months ago
Personalized Forecasting Student Performance
Abstract—This work proposes a novel approach - personalized forecasting - to take into account the sequential effect in predicting student performance (PSP). Instead of using all...
Nguyen Thai-Nghe, Tomás Horváth, Lar...
ITS
2010
Springer
115views Multimedia» more  ITS 2010»
14 years 7 days ago
In the Zone: Towards Detecting Student Zoning Out Using Supervised Machine Learning
This paper explores automatically detecting student zoning out while performing a spoken learning task. Standard supervised machine learning techniques were used to create classiï¬...
Joanna Drummond, Diane J. Litman
ICALT
2006
IEEE
14 years 1 months ago
Estimating the Gaze Point of a Student in a Driving Simulator
In this paper we discuss an approach towards passively observing students in a driving simulator. The goal is to enhance the learning experience for students taking lessons in thi...
Wim Fikkert, Dirk Heylen, Betsy van Dijk, Anton Ni...