Self-regulated learning (SRL) is essential to professional learning and practice across disciplines. However, the literature provides limited insights into how medical educators could leverage the SRL framework to support trainees' strategic processes in clinical reasoning activities. In this study, we investigated the relationship between SRL competency and clinical reasoning tendency as 64 medical students diagnosed a virtual patient in a computer-simulated environment. We further examined whether students with different profiles of SRL competency and clinical reasoning tendency differed in their behavioral patterns and performance. The results suggested that SRL competency positively predicted clinical reasoning tendency. Enhancing medical students' SRL competency, especially their self-reflection skills, could increase the tendency toward relying on an analytic approach to clinical reasoning. Moreover, we identified two groups of students (i.e., analytic SRL learners, and non-analytic, low SRL learners) using -means clustering analysis. The two groups of students differed in their behavioral patterns in clinical reasoning, as revealed by lag sequential analysis. Furthermore, analytic SRL learners ordered more relevant lab tests than non-analytic low SRL learners in clinical reasoning. This study has methodological and practical implications.
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http://dx.doi.org/10.1007/s40670-023-01909-6 | DOI Listing |
Front Med (Lausanne)
January 2025
Department of Psychoanalysis and Psychotherapy, Medical University of Vienna, Vienna, Austria.
Background: The integration of interdisciplinary clinical reasoning and decision-making into the medical curriculum is imperative. Novel, high-quality e-learning environments, encompassing virtual clinical and hands-on training, are essential. Consequently, we evaluated the efficacy of a case-based e-learning approach.
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
Department of Anesthesiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Objective: To evaluate the effectiveness of integrating GASMAN anesthesia simulation software with case-based learning (IGC) compared to traditional lecture-based learning (LBL) in teaching inhalation anesthesia to undergraduate anesthesiology students.
Methods: Fourth-year students from two academic years (2022, = 110; 2023, = 131) enrolled in a five-year anesthesiology program were assigned to either traditional lecture-based learning (LBL) or IGC groups. The LBL group received traditional lectures using PowerPoint slides, while the IGC group engaged with GASMAN anesthesia simulation software (a tool designed for anesthesia simulation and gas monitoring) combined with case-based learning.
Front Bioeng Biotechnol
January 2025
Rehabilitation Department, Jilin Electric Power Hospital, Changchun, China.
Rehabilitation assessments hold an irreplaceable role in the field of rehabilitative therapy. However, due to the subjectivity of traditional physicians and the variability of patient conditions, this leads to a lack of detailed grading and inaccurate assessment results. To address this issue, we developed an upper limb rehabilitation evaluation model.
View Article and Find Full Text PDFFront Microbiol
January 2025
DeepBlue Academy of Sciences, Shanghai, China.
Introduction: The salinization of coastal soils is a primary cause of global land degradation. The aim of this study was to evaluate the effect of organic amendment on the soil microbial community within a saline gradient.
Methods: The study was designed with five levels of electrical conductivity (EC): 0.
Med Teach
January 2025
Institute of Medical Education, University Hospital Bonn, Bonn, Germany.
Purpose: Self-testing has been proven to significantly improve not only simple learning outcomes, but also higher-order skills such as clinical reasoning in medical students. Previous studies have shown that self-testing was especially beneficial when it was presented with feedback, which leaves the question whether an immediate and personalized feedback further encourages this effect. Therefore, we hypothesised that individual feedback has a greater effect on learning outcomes, compared to generic feedback.
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