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Record W4387524638 · doi:10.18162/ritpu-2023-v20n2-06

Apports et limites de la formation à distance pour la formation initiale des futurs enseignants et enseignantes

2023· article· fr· W4387524638 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueRevue internationale des technologies en pédagogie universitaire · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicInformation Technology and Learning
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Bien que la pandmie ait montr la faisabilit d'offrir des cours de formation initiale l'enseignement dans une modalit distance, il semble important de s'interroger sur les apports et les limites de cette modalit pour soutenir l'apprentissage.S'appuyant sur le concept de la valeur ajoute pdagogique (VAP), cette rflexion compare les apports et limites des modalits distance et en prsence l'aide d'crits scientifiques pertinents.Trois facteurs qui peuvent influencer la VAP seront ainsi discuts : l'alignement pdagogique, l'accessibilit des tudes et l'intgration des tudiants et tudiantes leur profession future.Il sera alors recommand d'analyser la VAP pour faire des choix de modalit adquats, menant conclure que les formations hybrides seraient prfrables pour bnficier des apports de chacune d'elles.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.005
Open science0.0010.000
Research integrity0.0010.001
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 head0.050
GPT teacher head0.310
Teacher spread0.260 · 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