Self-reflection is a critical component of professional development and clinical practice, but medical students' ability to self-reflect is typically limited. While inadequate self-reflection impacts future clinical decision-making, it may also adversely impact current learning through an inability to identify learning-behavior deficits. This may be exacerbated by common use of multiple-choice questions (MCQ) where incorrect responses provide less insight than other measures for students, faculty, or academic support. To address this, an Error Reflection Method (ERM) was developed to help students focus on 'why' they got an MCQ wrong rather than 'what' they got wrong, thereby promoting self-reflection and a learning-focus on assessment. Understanding students' learning-behavior deficits could also enrich engagement with academic support services and guide curricular design. The ERM is a list of 10 common types of exam errors that were either ' (unwitting) errors or ' errors that reflected learning deficits. The ERM is simple, transferable, and sustainable, allowing longitudinal and regular monitoring of individual and collective error-making to focus support and guide curricular development. Undergraduate medical students at the Virginia Tech Carilion School of Medicine, USA, used the ERM in formative assessment review sessions in pre-clinical years to select an error type that best described the cause of each incorrect response. Initial findings suggest the ERM is robust and associated with improved student performance and curricular development. Analysis of 3,775 student-identified errors showed the error types in the ERM described 96% of errors students made. Learning-behavior errors were more common (76%), but surprisingly, 19% were test-taking errors, allowing academic support to focus on test-taking skills in a population previously thought of as consummate test-takers. The most common error type reported was 'the content looked familiar but I couldn't answer the question' (32%); which we suggest is consistent with shallow learning. This finding has helped steer recent curricular development toward active and applied learning techniques. By formally and regularly identifying learning deficits, students may be more capable of addressing them and improve summative exam performance. As well as focusing academic support, understanding common student errors has been useful in guiding curricular design and content delivery. Further potential of the ERM may be realized in faculty development and directing assessment culture toward a learning focus.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1080/10401334.2022.2033981 | DOI Listing |
JAMA Netw Open
January 2025
Division of Surgical Oncology, University of Utah, Salt Lake City.
Importance: An increasing number of older adults are undergoing surgery. Older adults face significant challenges throughout the spectrum of perioperative care. No frameworks exist to support primary care clinicians in helping older adults navigate perioperative care beyond preoperative medical clearance.
View Article and Find Full Text PDFVasc Med
January 2025
Department of Medicine, Division of Cardiology, University of Colorado School of Medicine, Aurora, CO, USA.
Nurs Philos
January 2025
State Examination in Vocational Education, Vocational Specialization: Nursing and Health Science; Second Subject: Social Studies. (Germany, Bavaria; comp. Master Degree); Scientific Assistant at Medical School Berlin, Berlin, Germany.
The transformation of societies' age structures has intensified the need for nursing care, especially in economically developed regions of the world. This will necessitate societal decisions that determine how care needs are met in the long term. This article offers a sociological perspective on nursing care using Luhmann's systems theory.
View Article and Find Full Text PDFOpen Res Eur
January 2025
Department of Economic and Regional Development,, Panteion University of Social and Political Sciences, Athens, L. Syggrou 136, 16761, Greece.
Background: Collaborative Workspaces are rapidly growing and evolving across the world. Traditionally understood as an urban phenomenon, most research understands them as either 'entrepreneurial-led', as profit-driven and commercial spaces such as business incubators and accelerators, or 'community-led' as being bottom-up, not-for-profit ventures aimed at catering for the needs of their community. Recent years however have seen their diffusion beyond large urban agglomerations to small towns and villages, with their functions assumed to be more community-orientated.
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
Clinical Informatics Fellowship Program, Baylor Scott & White Health, Round Rock, TX, United States.
Generative artificial intelligence (GenAI) is rapidly transforming various sectors, including healthcare and education. This paper explores the potential opportunities and risks of GenAI in graduate medical education (GME). We review the existing literature and provide commentary on how GenAI could impact GME, including five key areas of opportunity: electronic health record (EHR) workload reduction, clinical simulation, individualized education, research and analytics support, and clinical decision support.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!