Inside Case-Based Reasoning
ELM-ART: An Intelligent Tutoring System on World Wide Web
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
Application of a hybrid intelligent decision support model in logistics outsourcing
Computers and Operations Research
Web-based CBR system applied to early cost budgeting for pavement maintenance project
Expert Systems with Applications: An International Journal
An ontology-based similarity measurement for problem-based case reasoning
Expert Systems with Applications: An International Journal
Hybrid model for learner modelling and feedback prioritisation in exploratory learning
International Journal of Hybrid Intelligent Systems - CIMA-08
A real-time food safety management system for receiving operations in distribution centers
Expert Systems with Applications: An International Journal
User behaviour-driven group formation through case-based reasoning and clustering
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
This study proposes a new intelligent tutoring system using case-based student modeling. The proposed system can effectively infer the state of the student's knowledge. The knowledge state is diagnosed through the cases that are generated when the student solves a problem. We have chosen a procedural learning in the physics and designed this domain. In solving this problem, the knowledge types can be divided into the declarative and the procedural knowledge. Procedural knowledge is represented as the graphical case that constitutes a set of nodes and arcs. Declarative knowledge is represented as the analytical case that constitutes attribute-value pairs. In this study, we have implemented the intelligent tutoring system using case-based student model. We have estimated the performance between the human expert and the proposed system to prove the validity of this study. As a result, we have found that the inference method of the proposed system is similar to the human expert.