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Record W2254388984

D’un outil d’awareness à un outil d’encadrement de l’apprentissage

2007· article· fr· W2254388984 on OpenAlexvenueno aff
Gaëtan Temperman, Bruno De Lièvre, Christian Depover

Bibliographic record

VenueRevue internationale des technologies en pédagogie universitaire · 2007
Typearticle
Languagefr
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSociologyPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Resume Dans cet article, nous analyserons l'opinion d'apprenants engages dans une demarche collaborative a distance au sujet de leur utilisation d'un outil de suivi de l'apprentis-sage. Apres une presentation de la problematique et une description du contexte de la formation, nous detaillerons la methodologie de recherche que nous avons mise en oeuvre pour recueillir et analyser l'opinion des apprenants au sujet de cet outil. Notre etude montre que les etudiants estiment que l'outil de suivi est pertinent pour les informer de l'avancement des tâches et leur donner une visibilite sur leurs activites. Les etudiants le considerent comme moins efficace pour faciliter leur progression, montrer l'enga-gement des partenaires et reguler leur travail d'equipe. L'analyse du lien entre l'usage percu et l'utilisation reelle est interessante, car elle laisse apparaitre que plus les etudiants ont frequemment fait appel a l'outil, plus ils estiment a posteriori qu'il est en mesure de faciliter la pro-gression du groupe et d'aider a la regulation des activites collaboratives. Abstract In this article, we will analyze learners' opinions

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.037
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.037
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0040.005
Scholarly communication0.0090.007
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.002

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 head0.056
GPT teacher head0.355
Teacher spread0.299 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations2
Published2007
Admission routes1
Has abstractyes

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Same venueRevue internationale des technologies en pédagogie universitaireSame topicInnovative Teaching and Learning MethodsFrench-language works237,207