Mental models: towards a cognitive science of language, inference, and consciousness
Mental models: towards a cognitive science of language, inference, and consciousness
A general theory of discrimination learning
Production system models of learning and development
Truth versus appropriateness: relating declarative to procedural knowledge
Production system models of learning and development
Production system models of learning and development
Extending Domain Theories: Two Case Studies in Student Modeling
Machine Learning
Unified theories of cognition
Toward a microstructural account of human reasoning
Similarity and analogical reasoning
Analogical learning and transfer: what develops?
Similarity and analogical reasoning
Analogical reasoning as a mechanism in knowledge acquisition: a developmental perspective
Similarity and analogical reasoning
A computational account of children's learning about number conservation
Concept formation knowledge and experience in unsupervised learning
Multistrategy Learning and Theory Revision
Machine Learning - Special issue on multistrategy learning
Modeling Cognitive Development on Balance Scale Phenomena
Machine Learning - Special issue on computational models of human learning
A decision-tree model of balance scale development
Machine Learning
Procedural help in Andes: generating hints using a Bayesian network student model
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Multistrategy Discovery and Detection of Novice Programmer Errors
Machine Learning - Special issue on multistrategy learning
Mind Bugs: The Origins of Procedural Misconceptions
Mind Bugs: The Origins of Procedural Misconceptions
The Architecture of Cognition
Chunking in Soar: The Anatomy of a General Learning Mechanism
Machine Learning
Explanation-Based Generalization: A Unifying View
Machine Learning
An Integrated Framework for Empirical Discovery
Machine Learning
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Computer Aided Tracing of Children?s Physics Learning: a Teacher Oriented View
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
A novel application of theory refinement to student modeling
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Integrated Architectures for Machine Learning
Machine Learning and Its Applications, Advanced Lectures
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The goal of the reported research is the development of acomputational approach that could help a cognitive scientist tointeractively represent a learner's mental models, and toautomatically validate their coherence with respect to the availableexperimental data. In a reported case-study, the student's mentalmodels are inferred from questionnaires and interviews collectedduring a sequence of teaching sessions. These putative cognitivemodels are based on a theory of knowledge representation, derivedfrom psychological results and educational studies, which accountsfor the evolution of the student's knowledge over a learning period.The learning system WHY, able to handle (causal) domain knowledge,shows how to model the answers and the causal explanations given bythe learner.