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Record W4393007703 · doi:10.1002/cl2.1392

PROTOCOL: Learner‐educator co‐creation of student assessment in health professional education courses: A scoping review protocol

2024· review· en· W4393007703 on OpenAlexafffund
Laura A. Killam, Rylan Egan, Christina Godfrey, Amanda Ross‐White, Pilar Camargo‐Plazas, Mercedes Lock, Marian Luctkar‐Flude

Bibliographic record

VenueCampbell Systematic Reviews · 2024
Typereview
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsCentre for Excellence in Mining InnovationQueen's UniversityCambrian College
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsProtocol (science)Class (philosophy)Medical educationPsychologyPedagogyMathematics educationComputer scienceMedicineAlternative medicine

Abstract

fetched live from OpenAlex

This is a protocol for a Campbell Review following JBI scoping review methodology. The objectives are to answer the following questions: What has been reported in the literature about collaborative learner-educator design, implementation, or evaluation of learner assessment in health professional education? (1) Where is learner-educator co-creation of assessment occurring? (i.e., which disciplines, course types, level of learner, year of study). (2) What course assessment decisions are influenced or being made together? (i.e., assessment instructions and/or grades). (3) How much influence do learners have on decision-making? (i.e., where does it fall on Bovill and Bulley's ladder of participation). (4) How do learners and educators go about making decisions together? (i.e., discussion or voting, with a whole class or portion of the class). (5) What are the perceived benefits, disadvantages, barriers, and/or facilitators reported by the authors?

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.

How this classification was reachedexpand

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)0.026
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.475
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0260.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.258
GPT teacher head0.646
Teacher spread0.387 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2024
Admission routes2
Has abstractyes

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