Readings in model-based diagnosis
Readings in model-based diagnosis
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
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
Acquiring, representing, and evaluating a competence model of diagnostic strategy
Acquiring, representing, and evaluating a competence model of diagnostic strategy
Mycin: a rule-based computer program for advising physicians regarding antimicrobial therapy selection.
Causal understanding of patient illness in medical diagnosis
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Evolution of user interaction: the case of agent adele
Proceedings of the 8th international conference on Intelligent user interfaces
Qualitative Assessment on Aeronautical Training with Cognitive Agents
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Looking Ahead to Select Tutorial Actions: A Decision-Theoretic Approach
International Journal of Artificial Intelligence in Education
Implementing tutoring strategies into a patient simulator for clinical reasoning learning
Artificial Intelligence in Medicine
User models for adaptive hypermedia and adaptive educational systems
The adaptive web
Clinical reasoning learning with simulated patients
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Expert Systems with Applications: An International Journal
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This paper presents an approach to intelligent tutoring for diagnostic problem solving that uses knowledge about causal relationships between symptoms and disease states to conduct a pedagogically useful dialogue with the student. An animated pedagogical agent, Adele, uses the causal knowledge, represented as a Bayesian network, to dynamically generate a diagnostic process that is consistent with the best practice approach to medical diagnosis. Using a combination of hints and other interactions based on multiple choice questions, Adele guides the student through a reasoning process that exposes her to the underlying knowledge, i.e., the patho-physiological processes, while being sensitive to the problem solving state and the student's current level of knowledge. Although the main focus of this paper is on tutoring medical diagnosis, the methods described here are applicable to tutoring diagnostic skills in any domain with uncertain knowledge.