Harnessing a knowledge translation framework to implement an undergraduate medical education intervention: A longitudinal study.

Introduction: Implementation of evidence-informed educational interventions (EEI) involves applying and adapting theoretical and scientific knowledge to a specific context. Knowledge translation (KT) approaches can both facilitate and structure the process. The purpose of this paper is to describe lessons learned from applying a KT approach to help implement an EEI for clinical reasoning in medical students.

Comparison of Assessment by a Virtual Patient and by Clinician-Educators of Medical Students' History-Taking Skills: Exploratory Descriptive Study.

Background: A virtual patient (VP) can be a useful tool to foster the development of medical history-taking skills without the inherent constraints of the bedside setting. Although VPs hold the promise of contributing to the development of students' skills, documenting and assessing skills acquired through a VP is a challenge.

Objective: We propose a framework for the automated assessment of medical history taking within a VP software and then test this framework by comparing VP scores with the judgment of 10 clinician-educators (CEs).

Does providing the correct diagnosis as feedback after self-explanation improve medical students diagnostic performance?

Background: Self-explanation without feedback has been shown to improve medical students' diagnostic reasoning. While feedback is generally seen as beneficial for learning, available evidence of the value of its combination with self-explanation is conflicting. This study investigated the effect on medical students' diagnostic performance of adding immediate or delayed content-feedback to self-explanation while solving cases.

Self-explanation in learning clinical reasoning: the added value of examples and prompts.

Context: Recent studies suggest that self-explanation (SE) while diagnosing cases fosters the development of clinical reasoning in medical students; however, the conditions that optimise the impact of SE remain unknown. The example-based learning framework justifies an exploration of students' use of their own SEs combined with the study of examples. This study aimed to assess the impact on medical students' diagnostic performance of: (i) combining students' SEs with their listening to examples of residents' SEs, and (ii) the addition of prompts (specific questions) while working with examples.

Does medical students' diagnostic performance improve by observing examples of self-explanation provided by peers or experts?

Educational strategies that promote the development of clinical reasoning in students remain scarce. Generating self-explanations (SE) engages students in active learning and has shown to be an effective technique to improve clinical reasoning in clerks. Example-based learning has been shown to support the development of accurate knowledge representations.