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I do not know if I will have the energy to come to placement tomorrow ’

Fast-Tracking Racially Minoritised Students to Failure in Social Work Education

Bibliographic Data

ID10896127
AuthorsProspera Tedam (0000-0002-4703-1678, University College Dublin), Jo Finch (0000-0002-7813-0046, University of Suffolk, corresponding author)
Year2025
Volume55
Issue1
Pages261-279
Publication date2025-01-01
Open AccessYes
TypeARTICLE
VenueThe British Journal of Social Work (JOURNAL)
Journal identifiersISSN: 0045-3102 • E-ISSN: 1468-263X
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/bjsw/bcae138
OpenAlexW4402121740
LanguageEN
Citations received1
References cited35

We build upon previous work that explored the evidence base of ‘failure to fail’ on practice placements across professions. We found a lack of convincing evidence of ‘fail to fail’ within assessed practice learning placements and could not ascertain the extent of this issue. The literature was stronger about why it ‘might’ or ‘could’ be difficult to fail students on placement. We concluded that if there was a reluctance to fail students, that hesitancy was not shown when failing racially minoritised students. Using critical race theory, we noted instead, fast tacking to failure. Data were re-examined from two previous studies that focused on the experiences of Black African social work students in England. We identified two ways in which practice educators operationalised fast tracking to failure. Firstly, the speed at which negative judgments were made about students’ abilities, and related to this, asking personal and insensitive questions, and secondly, the speed of decision about placement failure. We argue that the debate needs to move away from fail to fail and instead, focus on who is being fast tracked to failure, and how racism and other discrimination is addressed forcefully in social work policy, practice and education

Energy (signal processing) · Mathematics education · Pedagogy · Statistics · Tracking (education) · Work (physics) · Computer Science · Data Analysis and Archiving · Engineering · Homelessness and Social Issues · Mathematics · Mechanical Engineering · Primary Care and Health Outcomes · Psychology

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Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

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