Using cultural historical activity theory to reflect on the sociocultural complexities in OSCE examiners' judgements.

Adv Health Sci Educ Theory Pract

Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, 2006, Australia.

Published: March 2023

Examiners' judgements play a critical role in competency-based assessments such as objective structured clinical examinations (OSCEs). The standardised nature of OSCEs and their alignment with regulatory accountability assure their wide use as high-stakes assessment in medical education. Research into examiner behaviours has predominantly explored the desirable psychometric characteristics of OSCEs, or investigated examiners' judgements from a cognitive rather than a sociocultural perspective. This study applies cultural historical activity theory (CHAT) to address this gap in exploring examiners' judgements in a high-stakes OSCE. Based on the idea that OSCE examiners' judgements are socially constructed and mediated by their clinical roles, the objective was to explore the sociocultural factors that influenced examiners' judgements of student competence and use the findings to inform examiner training to enhance assessment practice. Seventeen semi-structured interviews were conducted with examiners who assessed medical student competence in progressing to the next stage of training in a large-scale OSCE at one Australian university. The initial thematic analysis provided a basis for applying CHAT iteratively to explore the sociocultural factors and, specifically, the contradictions created by interactions between different elements such as examiners and rules, thus highlighting the factors influencing examiners' judgements. The findings indicated four key factors that influenced examiners' judgements: examiners' contrasting beliefs about the purpose of the OSCE; their varying perceptions of the marking criteria; divergent expectations of student competence; and idiosyncratic judgement practices. These factors were interrelated with the activity systems of the medical school's assessment practices and the examiners' clinical work contexts. Contradictions were identified through the guiding principles of multi-voicedness and historicity. The exploration of the sociocultural factors that may influence the consistency of examiners' judgements was facilitated by applying CHAT as an analytical framework. Reflecting upon these factors at organisational and system levels generated insights for creating fit-for-purpose examiner training to enhance assessment practice.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992227PMC
http://dx.doi.org/10.1007/s10459-022-10139-1DOI Listing

Publication Analysis

Top Keywords

examiners' judgements
36
sociocultural factors
12
student competence
12
examiners'
11
judgements
9
cultural historical
8
historical activity
8
activity theory
8
osce examiners'
8
judgements examiners'
8

Similar Publications

Liver fibrosis stage classification in stacked microvascular images based on deep learning.

BMC Med Imaging

January 2025

Department of Information Science and Engineering, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Yamaguchi, 755-8611, Japan.

Background: Monitoring fibrosis in patients with chronic liver disease (CLD) is an important management strategy. We have already reported a novel stacked microvascular imaging (SMVI) technique and an examiner scoring evaluation method to improve fibrosis assessment accuracy and demonstrate its high sensitivity. In the present study, we analyzed the effectiveness and objectivity of SMVI in diagnosing the liver fibrosis stage based on artificial intelligence (AI).

View Article and Find Full Text PDF

Background: Reminiscence therapy through music is a psychosocial intervention with benefits for older patients with neurocognitive disorders. Therapies using virtual or augmented reality are efficient in ecologically assessing, and eventually training, episodic memory in older populations. We designed a semi-immersive musical game called "A Life in Songs," which invites patients to immerse themselves in a past era through visuals and songs from that time period.

View Article and Find Full Text PDF

This study examines the performance of ChatGPT, developed by OpenAI and widely used as an AI-based conversational tool, as a data analysis tool through exploratory factor analysis (EFA). To this end, simulated data were generated under various data conditions, including normal distribution, response category, sample size, test length, factor loading, and measurement models. The generated data were analyzed using ChatGPT-4o twice with a 1-week interval under the same prompt, and the results were compared with those obtained using R code.

View Article and Find Full Text PDF

Background: Facial emotion recognition is one of the significant domains of social cognition that underlie social interactions. These deficits can influence the functional outcome in individuals with schizophrenia by impairing judgment toward others and reducing their capability to function. We aimed to assess the facial emotion recognition deficits in individuals with schizophrenia in comparison to healthy individuals and find their association with clinical and demographic profiles.

View Article and Find Full Text PDF

Association of residency application data with subsequent general surgery residency graduate performance.

Surgery

December 2024

Department of Surgery, Harbor-UCLA (University of California, Los Angeles) Medical Center, Torrance, CA; The Lundquist Institute, Torrance, CA. Electronic address:

Article Synopsis
  • The study examines the relationship between residency application data and the subsequent performance of surgical graduates, focusing on traits like surgical judgment, leadership, and medical knowledge.
  • Despite evaluating 258 graduates and various factors such as USMLE scores and clerkship honors, the findings reveal only weak associations with overall performance ratings.
  • Ultimately, the research concludes that the analyzed preresidency variables do not effectively predict residency graduate performance, suggesting a disconnect between application data and actual performance in residency.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!