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Exploring Case Specificity in Medical Students’ Clinical Reasoning PROCEEDING

, McGill University, Canada ; , University of Utah, United States ; , McGill University, Canada

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Vancouver, British Columbia, Canada ISBN 978-1-939797-31-5 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA


Advances in educational technology have provided various promising solutions for yielding useful insights about learning from learner-system interaction data Previous research has suggested the existence of case-specificity in clinical reasoning (Doleck, Jarrell, Poitras, Chaouachi, & Lajoie, 2016; Fitzgerald et al, 1994) Thus, in the present study we examine the data streams generated by learners’ interactions with a medical learning system called BioWorld, to detect such a phenomenon


Doleck, T., Poitras, E. & Lajoie, S. (2017). Exploring Case Specificity in Medical Students’ Clinical Reasoning. In J. Dron & S. Mishra (Eds.), Proceedings of E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 572-577). Vancouver, British Columbia, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved November 16, 2018 from .

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