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.
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http://dx.doi.org/10.1007/s10459-022-10139-1 | DOI Listing |
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.
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View Article and Find Full Text PDFJMIR Serious Games
January 2025
Department of Medical and Rehabilitation Care, Angers University Hospital, Angers, France.
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View Article and Find Full Text PDFEduc Psychol Meas
January 2025
Alanya Alaaddin Keykubat University, Alanya/Antalya, Turkey.
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 PDFIndian J Psychol Med
January 2025
Dept. of Psychiatry, VMMC and Safdarjung Hospital, New Delhi, India.
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View Article and Find Full Text PDFSurgery
December 2024
Department of Surgery, Harbor-UCLA (University of California, Los Angeles) Medical Center, Torrance, CA; The Lundquist Institute, Torrance, CA. Electronic address:
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