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Record W2095918512 · doi:10.21432/t24s4p

Concevoir des modèles de sites Web éducatifs en utilisant IMS Learning Design / Designing educational Web site models using IMS Learning Design

2006· article· fr· W2095918512 on OpenAlexvenueno aff
Ecaterina Pacurar, Philippe Trigano, Sorin Alupoaie

Bibliographic record

VenueCanadian Journal of Learning and Technology · 2006
Typearticle
Languagefr
FieldComputer Science
TopicOpen Education and E-Learning
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophySociology

Abstract

fetched live from OpenAlex

Dans le cadre de cette recherche, a été développé le guide interactif CEPIAH (Conception et Evaluation des Produits Interactifs pour l’Apprentissage Humain) accessible sur le Web, composé de trois modules : Aide à la Conception, Aide à l’Evaluation et Aide à la Conception de structures de cours en ligne. L’objectif de cet environnement interactif est d’aider les auteurs de sites Web éducatif dans la conception et l’évaluation de leurs prototypes. Cet article présente une courte synthèse et analyse des normes relatives à la conception des contenus pédagogiques électroniques; ensuite seront décrits les travaux de recherche concernant le troisième module (Aide à la Conception de structures de cours en ligne) du guide CEPIAH. La conclusion présentera des perspectives portant sur la validation de l’outil.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.278
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.004
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 head0.051
GPT teacher head0.276
Teacher spread0.225 · 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 designSimulation or modeling
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
Published2006
Admission routes1
Has abstractyes

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