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EDM
2009
147views Data Mining» more  EDM 2009»
13 years 5 months ago
Using Dirichlet priors to improve model parameter plausibility
Student modeling is a widely used approach to make inference about a student's attributes like knowledge, learning, etc. If we wish to use these models to analyze and better u...
Dovan Rai, Yue Gong, Joseph Beck
EDM
2010
148views Data Mining» more  EDM 2010»
13 years 9 months ago
Sentiment Analysis in Student Experiences of Learning
In this paper we present an evaluation of new techniques for automatically detecting sentiment polarity (Positive or Negative) in the students responses to Unit of Study Evaluation...
Sunghwan Mac Kim, Rafael A. Calvo
AH
2004
Springer
14 years 29 days ago
Machine Learning Methods for One-Session Ahead Prediction of Accesses to Page Categories
This paper presents a comparison among several well-known machine learning techniques when they are used to carry out a one-session ahead prediction of page categories. We use reco...
José David Martín-Guerrero, Emili Ba...
ITICSE
2009
ACM
14 years 2 months ago
Xen worlds: leveraging virtualization in distance education
The Xen Worlds project at Iowa State University was designed to provide a virtualized lab environment for the Information Assurance program. The large number of off-campus student...
Benjamin R. Anderson, Amy K. Joines, Thomas E. Dan...
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