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Record W4415432056 · doi:10.7202/1119351ar

L’intégration de l’autoévaluation de la pratique par les étudiant·e·s-stagiaires : un levier au service de leur développement professionnel ?

2024· article· fr· W4415432056 on OpenAlexvenueno aff
Alexia Stumpf, Jean‐Steve Meia, Paul-André Garessus

Bibliographic record

VenueRevue des sciences de l éducation · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicHigher Education Learning Practices
Canadian institutionsnot available
Fundersnot available
KeywordsService (business)General practiceHealth services

Abstract

fetched live from OpenAlex

Lors du confinement (COVID-19), le corps estudiantin d’une haute école pédagogique (HEP) suisse a vécu un semestre de formation à l’enseignement secondaire à distance, pratique professionnelle incluse. Le document d’évaluation de cette dernière a dû être repensé, les visites de stage menées par un·e formateur·rice de la HEP (FHEP) étant impossibles. L’évaluation des FHEP a donc été substituée par une autoévaluation des étudiant·e·s. Il s’agit de comprendre en quoi l’autoévaluation peut être un levier d’émancipation au service du développement professionnel estudiantin. Nous présentons les résultats d’une analyse des bilans et discutons de la plus-value d’une généralisation éventuelle de cette pratique.

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)0.017
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.541
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0030.002
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.001
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 head0.466
GPT teacher head0.499
Teacher spread0.033 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations0
Published2024
Admission routes1
Has abstractyes

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