Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer
SIAM Journal on Computing
Quantum computation and quantum information
Quantum computation and quantum information
Exploiting model-based reasoning in educational systems: illuminating the learner modeling problem
Smart machines in education
Experiments with Incremental Concept Formation: UNIMEM
Machine Learning
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Acquiring User Preferences for Information Filtering in Interactive Multi-Media Services
PRICAI '96 Proceedings of the 4th Pacific Rim International Conference on Artificial Intelligence: Topics in Artificial Intelligence
Stereotypes, Student Models and Scrutability
ITS '00 Proceedings of the 5th 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
Machine learning of user profiles: representational issues
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
ITERATE: a conceptual clustering algorithm for data mining
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A Framework for the Initialization of Student Models in Web-based Intelligent Tutoring Systems
User Modeling and User-Adapted Interaction
Research on Initializing Student Model
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
Privacy-preserving demographic filtering
Proceedings of the 2006 ACM symposium on Applied computing
Cluster-based predictive modeling to improve pedagogic reasoning
Computers in Human Behavior
Error-flagging support and higher test scores
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
A scalable solution for adaptive problem sequencing and its evaluation
AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Error-Flagging support for testing and its effect on adaptation
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part I
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The initialization of the student model in an intelligent tutoring system is a crucial issue. It is not realistic to assume that each new student has the same prior knowledge concerning the topic being taught, be it nothing or some "standard" prior knowledge. We introduce CLARISSE, which is a novel categorization method. We illustrate this tool with the identification of categories among students for QUANTI, an intelligent tutoring system for the teaching of quantum information processing. In order to classify a new learner, CLARISSE generates an adaptive pre-test that can identify with high accuracy the learner's category after very few questions.