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Chang, Todd P.; Schrager, Sheree M.; Rake, Alyssa J.; Chan, Michael W.; Pham, Phung K.; Christman, Grant – Advances in Health Sciences Education, 2017
Multimedia in assessing clinical decision-making skills (CDMS) has been poorly studied, particularly in comparison to traditional text-based assessments. The literature suggests multimedia is more difficult for trainees. We hypothesize that pediatric residents score lower in diagnostic skill when clinical vignettes use multimedia rather than text…
Descriptors: Medical Students, Pediatrics, Multimedia Materials, Clinical Diagnosis
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Peixoto, José Maria; Mamede, Sílvia; de Faria, Rosa Malena Delbone; Moura, Alexandre Sampaio; Santos, Silvana Maria Elói; Schmidt, Henk G. – Advances in Health Sciences Education, 2017
Self-explanation while diagnosing clinical cases fosters medical students' diagnostic performance. In previous studies on self-explanation, students were free to self-explain any aspect of the case, and mostly clinical knowledge was used. Elaboration on knowledge of pathophysiological mechanisms of diseases has been largely unexplored in studies…
Descriptors: Pathology, Physiology, Clinical Diagnosis, Medical Students
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St-Onge, Christina; Landry, Marjolaine; Xhignesse, Marianne; Voyer, Gilles; Tremblay-Lavoie, Stéphanie; Mamede, Sílvia; Schmidt, Henk; Rikers, Remy – Advances in Health Sciences Education, 2016
Since cognitive abilities have been shown to decrease with age, it is expected that older physicians would not perform as well as their younger counterparts on clinical cases unless their expertise can counteract the cognitive effects of aging. However, studies on the topic have shown contradictory results. This study aimed to further investigate…
Descriptors: Cognitive Ability, Age, Physicians, Expertise
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Cleary, Timothy J.; Dong, Ting; Artino, Anthony R., Jr. – Advances in Health Sciences Education, 2015
This study examined within-group shifts in the motivation beliefs and regulatory processes of second-year medical students as they engaged in a diagnostic reasoning activity. Using a contextualized assessment methodology called self-regulated learning microanalysis, the authors found that the 71 medical student participants showed statistically…
Descriptors: Medical Students, Student Motivation, Student Attitudes, Beliefs
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Stolper, C. F.; Van de Wiel, M. W. J.; Hendriks, R. H. M.; Van Royen, P.; Van Bokhoven, M. A.; Van der Weijden, T.; Dinant, G. J. – Advances in Health Sciences Education, 2015
Diagnostic reasoning is considered to be based on the interaction between analytical and non-analytical cognitive processes. Gut feelings, a specific form of non-analytical reasoning, play a substantial role in diagnostic reasoning by general practitioners (GPs) and may activate analytical reasoning. In GP traineeships in the Netherlands, trainees…
Descriptors: Logical Thinking, Clinical Diagnosis, Medical Students, Graduate Students
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Crowley, Rebecca S.; Legowski, Elizabeth; Medvedeva, Olga; Reitmeyer, Kayse; Tseytlin, Eugene; Castine, Melissa; Jukic, Drazen; Mello-Thoms, Claudia – Advances in Health Sciences Education, 2013
The purpose of this study is threefold: (1) to develop an automated, computer-based method to detect heuristics and biases as pathologists examine virtual slide cases, (2) to measure the frequency and distribution of heuristics and errors across three levels of training, and (3) to examine relationships of heuristics to biases, and biases to…
Descriptors: Heuristics, Computer Assisted Instruction, Medical Education, Pathology
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Durning, Steven J.; Artino, Anthony R.; Boulet, John R.; Dorrance, Kevin; van der Vleuten, Cees; Schuwirth, Lambert – Advances in Health Sciences Education, 2012
Context specificity, or the variation in a participant's performance from one case, or situation, to the next, is a recognized problem in medical education. However, studies have not explored the potential reasons for context specificity in experts using the lens of situated cognition and cognitive load theories (CLT). Using these theories, we…
Descriptors: Expertise, Video Technology, Learning Theories, Medical Education