An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Experiences in Implementing Constraint-Based Modeling in SQL-Tutor
ITS '98 Proceedings of the 4th International Conference on Intelligent Tutoring Systems
ITCC '04 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2 - Volume 2
Towards the development of a conceptual distance metric for the UMLS
Journal of Biomedical Informatics
Designing an Ontology-Based Intelligent Tutoring Agent with Instant Messaging
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
Modeling individual and collaborative problem-solving in medical problem-based learning
User Modeling and User-Adapted Interaction
Using MEDLINE as Standard Corpus for Measuring Semantic Similarity in the Biomedical Domain
BIBE '06 Proceedings of the Sixth IEEE Symposium on BionInformatics and BioEngineering
Measures of semantic similarity and relatedness in the biomedical domain
Journal of Biomedical Informatics
A collaborative medical case authoring environment based on the UMLS
Journal of Biomedical Informatics
Expanding the Plausible Solution Space for Robustness in an Intelligent Tutoring System
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
A Comparison of Model-Tracing and Constraint-Based Intelligent Tutoring Paradigms
International Journal of Artificial Intelligence in Education
The Andes Physics Tutoring System: Lessons Learned
International Journal of Artificial Intelligence in Education
A Knowledge Acquisition System for Constraint-based Intelligent Tutoring Systems
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Domain-Knowledge Manipulation for Dialogue-Adaptive Hinting
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Artificial Intelligence in Medicine
An intelligent tutoring system for visual classification problem solving
Artificial Intelligence in Medicine
A comparative analysis of cognitive tutoring and constraint-based modeling
UM'03 Proceedings of the 9th international conference on User modeling
Expanding the Space of Plausible Solutions in a Medical Tutoring System for Problem-Based Learning
International Journal of Artificial Intelligence in Education
An ontology-based measure to compute semantic similarity in biomedicine
Journal of Biomedical Informatics
Leveraging a domain ontology to increase the quality of feedback in an intelligent tutoring system
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part I
Clinical reasoning gains in medical PBL: an UMLS based tutoring system
Journal of Intelligent Information Systems
Hi-index | 0.00 |
While problem-based learning has become widely popular for imparting clinical reasoning skills, the dynamics of medical PBL require close attention to a small group of students, placing a burden on medical faculty, whose time is over taxed. Intelligent tutoring systems (ITSs) offer an attractive means to increase the amount of facilitated PBL training the students receive. But typical intelligent tutoring system architectures make use of a domain model that provides a limited set of approved solutions to problems presented to students. Student solutions that do not match the approved ones, but are otherwise partially correct, receive little acknowledgement as feedback, stifling broader reasoning. Allowing students to creatively explore the space of possible solutions is exactly one of the attractive features of PBL. This paper provides an alternative to the traditional ITS architecture by using a hint generation strategy that leverages a domain ontology to provide effective feedback. The concept hierarchy and co-occurrence between concepts in the domain ontology are drawn upon to ascertain partial correctness of a solution and guide student reasoning towards a correct solution. We describe the strategy incorporated in METEOR, a tutoring system for medical PBL, wherein the widely available UMLS is deployed and represented as the domain ontology. Evaluation of expert agreement with system generated hints on a 5-point likert scale resulted in an average score of 4.44 (Spearman's @r=0.80, p