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Supporting Diagnostic Problem Solving in Medical Education Using an Integrated Classroom - E-Learning Model
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, , , , McGill University, Canada

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Honolulu, Hawaii, USA ISBN 978-1-880094-60-0 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA

Abstract

This paper discusses an ongoing series of studies. An initial study of diagnostic problem solving in internal medicine involved medical students, residents, and experts solving a set of cases while thinking aloud. Verbal protocol data was used to develop a coding scheme that was applied to the data. Results included a cycle of planning, hypothesizing, and data collection that was important for solving medical cases in this context. The study results were used to design Case2Solve, a computer-based learning environment (CBLE) that supports medical students as they learn to diagnose medical cases. The supports include realistic diagnostic tasks and support for hypothesis generation and revision, planning, and access to expertise. Future plans to evaluate the effectiveness of Case2Solve in terms of learning outcomes, as well as plans to evaluate it in undergraduate medical training are also presented. It will be implemented according to an integrated classroom – E-Learning model.

Citation

Faremo, S., Lajoie, S., Gauthier, G. & Wiseman, J. (2006). Supporting Diagnostic Problem Solving in Medical Education Using an Integrated Classroom - E-Learning Model. In T. Reeves & S. Yamashita (Eds.), Proceedings of E-Learn 2006--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 2788-2793). Honolulu, Hawaii, USA: Association for the Advancement of Computing in Education (AACE). Retrieved September 19, 2019 from .

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