Learning in the presence of concept drift and hidden contexts
Machine Learning
Student knowledge and learning skill modeling in the learning environment 'forces'
Computers & Education
Using Bayesian Networks to Manage Uncertainty in Student Modeling
User Modeling and User-Adapted Interaction
Machine Learning for User Modeling
User Modeling and User-Adapted Interaction
A Bayesian Diagnostic Algorithm for Student Modeling and its Evaluation
User Modeling and User-Adapted Interaction
Adaptive Assessment Using Granularity Hierarchies and Bayesian Nets
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
Andes: A Coached Problem Solving Environment for Physics
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Assessing Effective Exploration in Open Learning Environments Using Bayesian Networks
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Conceptual and Meta Learning During Coached Problem Solving
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
Probabilistic Student Modelling to Improve Exploratory Behaviour
User Modeling and User-Adapted Interaction
A Framework for the Initialization of Student Models in Web-based Intelligent Tutoring Systems
User Modeling and User-Adapted Interaction
Assessing metacognitive knowledge in web-based CALL: a neural network approach
Computers & Education
An intelligent learning diagnosis system for Web-based thematic learning platform
Computers & Education
Evaluating Bayesian networks' precision for detecting students' learning styles
Computers & Education
Addressing diverse learning styles through the use of multimedia
FIE '95 Proceedings of the Frontiers in Education Conference on 1995. Proceedings., 1995 vol 1. - Volume 01
Student Modelling Based on Belief Networks
International Journal of Artificial Intelligence in Education
Adaptive bayes for a student modeling prediction task based on learning styles
UM'03 Proceedings of the 9th international conference on User modeling
A neuro-fuzzy approach in student modeling
UM'03 Proceedings of the 9th international conference on User modeling
Exploring the state of the art in adaptive distributed learning environments
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part II
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Especially in the first decade of this century, learner adapted interaction and learner modeling are becoming more important in the area of web-based learning systems. The complicated nature of the problem is a serious challenge with vast amount of data available about the learners. Machine learning approaches have been used effectively in both user modeling, and learner modeling implementations. Recent studies on the challenges and solutions about learner modeling are explained in this paper with the proposal of a learner modeling framework to be used in a web-based learning system. The proposed system adopts a hybrid approach combining three machine learning techniques in three stages.