Frequently, problems can be solved in more than one way. In modern computerised environments, more ways than ever exist. Naturally, human problem solvers do not always decide for the best-performing strategy available. One underlying reason might be the inability to continuously and correctly monitor each strategy's performance. Here, we supported some of our participants' monitoring ability by providing written feedback regarding their speed and accuracy. Specifically, participants engaged in an object comparison task, which they were asked to solve with one of two strategies: an internal strategy (mental rotation) or an extended strategy (manual rotation). After receiving no feedback (30 participants), trialwise feedback (30 participants), or blockwise feedback (30 participants) in these no choice trials, all participants were asked to estimate their performance with both strategies and were then allowed to freely choose between strategies in choice trials. Results indicated that written feedback improves explicit performance estimates. However, results also indicated that such increased awareness does not guarantee improved strategy choice and that attending to written feedback might tamper with more adaptive ways inform the choice. Thus, we advise against prematurely implementing written feedback. While it might support adaptive strategy choice in certain environments, it did not in the present setup. We encourage further research that improves the understanding of how we monitor the performance of different cognitive strategies. Such understanding will help create interventions that support human problem solvers in making better choices in the future.
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http://dx.doi.org/10.1177/17470218241282659 | DOI Listing |
BMC Med Educ
January 2025
Department of Urology, Xiangya Hospital, Central South University, Changsha, Hunan, 410000, China.
Introduction: Artificial intelligence technology has a wide range of application prospects in the field of medical education. The aim of the study was to measure the effectiveness of ChatGPT-assisted problem-based learning (PBL) teaching for urology medical interns in comparison with traditional teaching.
Methods: A cohort of urology interns was randomly assigned to two groups; one underwent ChatGPT-assisted PBL teaching, while the other received traditional teaching over a period of two weeks.
BMC Med Inform Decis Mak
January 2025
AZTI, Food Research, Basque Research and Technology Alliance, Derio, Spain.
Background: The popularization of mobile health (mHealth) apps for public health or medical care purposes has transformed human life substantially, improving lifestyle behaviors and chronic condition management. The objective of this study is to evaluate the effect of gamification features in a mHealth app that includes the most common categories of behavior change techniques for the self-report of lifestyle data. The data reported by the user can be manual (i.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Department of Spine Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Background: Adolescent idiopathic scoliosis, a complex three-dimensional spine deformity, presents a formidable challenge for orthopedic residents in understanding its anatomy and surgical strategies. The aim of this study is to investigate the impact of three-dimensional printing (3DP) models in enhancing the comprehension of adolescent idiopathic scoliosis among orthopedic residents.
Methods: Forty orthopedic residents were randomly divided into two groups, the first group received lectures that were augmented with 3DP models illustrating five cases of adolescent idiopathic scoliosis, along with corresponding X-ray and CT images.
J Am Med Inform Assoc
December 2024
Department of Radiology, Stanford University, Stanford, CA 94304, United States.
Objective: Brief hospital course (BHC) summaries are clinical documents that summarize a patient's hospital stay. While large language models (LLMs) depict remarkable capabilities in automating real-world tasks, their capabilities for healthcare applications such as synthesizing BHCs from clinical notes have not been shown. We introduce a novel preprocessed dataset, the MIMIC-IV-BHC, encapsulating clinical note and BHC pairs to adapt LLMs for BHC synthesis.
View Article and Find Full Text PDFPhilos Trans R Soc Lond B Biol Sci
January 2025
Biodiversity Futures Lab, Natural History Museum, London SW7 5BD, UK.
Georgina Mace proposed bending the curve of biodiversity loss as a fitting ambition for the Convention on Biological Diversity. The new Global Biodiversity Monitoring Framework (GBMF) may increase the chances of meeting the goals and targets in the Kunming-Montreal Global Biodiversity Framework (KMGBF), which requires bending the curve. To meet the outcome goals of KMGBF, the GBMF should support adaptive policy responses to the state of biodiversity, which in turn requires a 'satnav' for nature.
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