J Dent Educ. 73(10): 1178-1186 2009
© 2009 American Dental Education Association
Educational Methodologies |
Intelligent Tutoring System for Clinical Reasoning Skill Acquisition in Dental Students
Siriwan Suebnukarn, D.D.S., Ph.D.
Key words: intelligent tutoring systems, clinical reasoning skill, problem-based learning, Bayesian networks, empirical evaluation
Submitted for publication 04/19/09;
accepted 06/08/09
Learning clinical reasoning is an important core activity of the modern dental curriculum. This article describes an intelligent tutoring system (ITS) for clinical reasoning skill acquisition. The system is designed to provide an experience that emulates that of live human-tutored problem-based learning (PBL) sessions as much as possible, while at the same time permitting the students to participate collaboratively from disparate locations. The system uses Bayesian networks to model individual student knowledge and activity, as well as that of the group. Tutoring algorithms use the models to generate tutoring hints. The system incorporates a multimodal interface that integrates text and graphics so as to provide a rich communication channel between the students and the system, as well as among students in the group. Comparison of learning outcomes shows that student clinical reasoning gains from the ITS are similar to those obtained from human-tutored sessions.
Copyright © 2009 by the American Dental Education Association.