ABSTRACT
BACKGROUND: Professional education cannot keep pace with the rapid advancements of knowledge in today's society. But it can develop professionals who can. 'Preparation for future learning' (PFL) has been conceptualized as a form of transfer whereby learners use their previous knowledge to learn about and adaptively solve new problems. Improved PFL outcomes have been linked to instructional approaches targeting learning mechanisms similar to those associated with successful self-regulated learning (SRL). We expected training that includes evidence-based SRL-supports would be non-inferior to training with direct supervision using the outcomes of a 'near transfer' test, and a PFL assessment of simulated endotracheal intubation skills. METHOD: This study took place at the University of Toronto from October 2014 to August 2015. We randomized medical students and residents (n = 54) into three groups: Unsupervised, Supported; Supervised, Supported; and Unsupervised, Unsupported. Two raters scored participants' test performances using a Global Rating Scale with strong validity evidence. We analyzed participants' near transfer and PFL outcomes using two separate mixed effects ANCOVAs. RESULTS: For the Unsupervised, Supported group versus the Supervised, Supported group, we found that the difference in mean scores was 0.20, with a 95% Confidence Interval (CI) of - 0.17 to 0.57, on the near transfer test, and was 0.09, with a 95% CI of - 0.28 to 0.46, on the PFL assessment. Neither mean score nor their 95% CIs exceeded the non-inferiority margin of 0.60 units. Compared to the two Supported groups, the Unsupervised, Unsupported group was non-inferior on the near transfer test (differences in mean scores were 0.02 and - 0.22). On the PFL assessment, however, the differences in mean scores were 0.38 and 0.29, and both 95% CIs crossed the non-inferiority margin. CONCLUSIONS: Training with SRL-supports was non-inferior to training with a supervisor. Both interventions appeared to impact PFL assessment outcomes positively, yet inconclusively when compared to the Unsupervised and Unsupported group, By contrast, the Unsupervised, Supported group did not score well on the near transfer test. Based on the observed sensitivity of the PFL assessment, we recommend researchers continue to study how such assessments may measure learners' SRL outcomes during structured learning experiences.
Subject(s)
Education, Medical , Students, Medical , Clinical Competence , Humans , Intubation, Intratracheal , LearningABSTRACT
BACKGROUND: Methods of integrating basic science with clinical knowledge are still debated in medical training. One possibility is increasing the spatial and temporal proximity of clinical content to basic science. An alternative model argues that teaching must purposefully expose relationships between the domains. The authors compared different methods of integrating basic science: causal explanations linking basic science to clinical features, presenting both domains separately but in proximity, and simply presenting clinical features METHOD: First-year undergraduate health professions students were randomized to four conditions: (1) science-causal explanations (SC), (2) basic science before clinical concepts (BC), (3) clinical concepts before basic science (CB), and (4) clinical features list only (FL). Based on assigned conditions, participants were given explanations for four disorders in neurology or rheumatology followed by a memory quiz and diagnostic test consisting of 12 cases which were repeated after one week. RESULTS: Ninety-four participants completed the study. No difference was found on memory test performance, but on the diagnostic test, a condition by time interaction was found (F[3,88] = 3.05, P < .03, ηp = 0.10). Although all groups had similar immediate performance, the SC group had a minimal decrease in performance on delayed testing; the CB and FL groups had the greatest decreases. CONCLUSIONS: These results suggest that creating proximity between basic science and clinical concepts may not guarantee cognitive integration. Although cause-and-effect explanations may not be possible for all domains, making explicit and specific connections between domains will likely facilitate the benefits of integration for learners.
