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Record W2274643080 · doi:10.1186/s40064-016-1748-x

Profiling postgraduate workplace-based assessment implementation in Ireland: a retrospective cohort study

2016· article· en· W2274643080 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSpringerPlus · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Learning Practices
Canadian institutionsMcGill University
Fundersnot available
KeywordsProfiling (computer programming)Data scienceMedicineCohortRetrospective cohort studyComputer sciencePathology

Abstract

fetched live from OpenAlex

In 2010, workplace-based assessment (WBA) was formally integrated as a method of formative trainee assessment into 29 basic and higher specialist medical training (BST/HST) programmes in six postgraduate training bodies in Ireland. The aim of this study is to explore how WBA is being implemented and to examine if WBA is being used formatively as originally intended. A retrospective cohort study was conducted and approved by the institution's Research Ethics Committee. A profile of WBA requirements was obtained from 29 training programme curricula. A data extraction tool was developed to extract anonymous data, including written feedback and timing of assessments, from Year 1 and 2 trainee ePortfolios in 2012-2013. Data were independently quality assessed and compared to the reference standard number of assessments mandated annually where relevant. All 29 training programmes mandated the inclusion of at least one case-based discussion (max = 5; range 1-5). All except two non-clinical programmes (93 %) required at least two mini-Clinical Evaluation Exercise assessments per year and Direct Observation of Procedural Skills assessments were mandated in 27 training programmes over the course of the programme. WBA data were extracted from 50 % of randomly selected BST ePortfolios in four programmes (n = 142) and 70 % of HST ePortfolios (n = 115) in 21 programmes registered for 2012-2013. Four programmes did not have an eligible trainee for that academic year. In total, 1142 WBAs were analysed. A total of 164 trainees (63.8 %) had completed at least one WBA. The average number of WBAs completed by HST trainees was 7.75 (SD 5.8; 95 % CI 6.5-8.9; range 1-34). BST trainees completed an average of 6.1 assessments (SD 9.3; 95 % CI 4.01-8.19; range 1-76). Feedback-of varied length and quality-was provided on 44.9 % of assessments. The majority of WBAs were completed in the second half of the year. There is significant heterogeneity with respect to the frequency and quality of feedback provided during WBAs. The completion of WBAs later in the year may limit available time for feedback, performance improvement and re-evaluation. This study sets the scene for further work to explore the value of formative assessment in postgraduate medical education.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.728

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.411
Teacher spread0.389 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it