Artificial intelligence and tutoring systems: computational and cognitive approaches to the communication of knowledge
A knowledge-intensive, integrated approach to problem solving and sustained learning
A knowledge-intensive, integrated approach to problem solving and sustained learning
SARA: A Case-Based Student Modelling System
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
A Case-Based Methodology for Planning Individualized Case Oriented Tutoring
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Combining Concept Mapping with CBR: Towards Experience-Based Support for Knowledge Modeling
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference
Assessing Conceptual Similarity to Support Concept Mapping
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference
Using Case-Based Reasoning for Exercise Design in Simulation-Based Training
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
Measuring the similarity of labeled graphs
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Explanation in Case-Based Reasoning---Perspectives and Goals
Artificial Intelligence Review
Extracting learning concepts from educational texts in intelligent tutoring systems automatically
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
Intelligent Tutoring Systems require student models to tailor tutoring to the individual student. This paper presents CREEK-Tutor, an exercise-oriented tutoring system that uses a student modeling technique based on case-based reasoning to find students of similar competence. We describe a similarity measure for concept maps in student modeling is described, and present an initial evaluation of the approach.