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AAMAS
2007
Springer
16 years 1 months ago
Networks of Learning Automata and Limiting Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
Peter Vrancx, Katja Verbeeck, Ann Nowé
AIED
2007
Springer
16 years 1 months ago
Applying Learning Factors Analysis to Build Stereotypic Student Models
This paper demonstrates how stereotypic student groups can be created to enhance cognitive models in computer tutors. Computer tutors use cognitive models to track what skills stud...
Anna N. Rafferty, Michael Yudelson
WAPCV
2007
Springer
16 years 27 days ago
Learning to Attend - From Bottom-Up to Top-Down
The control of overt visual attention relies on an interplay of bottom-up and top-down mechanisms. Purely bottom-up models may provide a reasonable account of the looking behaviors...
Hector Jasso, Jochen Triesch
ICALT
2006
IEEE
16 years 26 days ago
Analyzing Student Activity in Computer Assisted Language Learning
We study the use of a computer application, intended for Computer Assisted Language Learning (CALL). We present an analytical framework for CALL, consisting of technology, interac...
Petter Karlström, Teresa Cerratto Pargman
IEAAIE
2004
Springer
16 years 5 days ago
Machine Learning Approaches for Inducing Student Models
The main issue in e-learning is student modelling, i.e. the analysis of a student’s behaviour and prediction of his/her future behaviour and learning performance. Indeed, it is d...
Oriana Licchelli, Teresa Maria Altomare Basile, Ni...