Attribute-mastery patterns from rule space as the basis for student models in algebra
International Journal of Human-Computer Studies
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Adaptive Assessment Using Granularity Hierarchies and Bayesian Nets
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
Adaptive Bayesian Networks for Multilevel Student Modelling
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Bayesian networks in educational testing
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - New trends in probabilistic graphical models
Using MPE with Bayesian Network for Sub-optimization to Entropy-Based Methodology
ISDA '08 Proceedings of the 2008 Eighth International Conference on Intelligent Systems Design and Applications - Volume 01
Bayes nets in educational assessment: Where the numbers come from
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Using bayesian networks for modeling students' learning bugs and sub-skills
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Hi-index | 0.00 |
With the rapid development of computer technology information theory has been implemented for searching optimal adaptive item sequence in computerised adaptive test systems based on Bayesian network. Information theory such as entropy between dichotomous concepts and test items generalise common intuitions about item comparison for heuristic methodology. However, the executive time and the storage space are still open problems in constructing and storing decision item trees. The blocking strategy is proposed for overcoming those problems. Experimental results show that the blocking strategy could overcome both the executive time and storage space problems.