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Record W1718983375

Approche par les situations et intégration des TIC dans l'enseignement apprentissage du français langue d'enseignement à l'élémentaire

2012· book-chapter· fr· W1718983375 on OpenAlexaboutno aff
Athanase Simbagoye

Bibliographic record

VenueCairn.info · 2012
Typebook-chapter
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

Ce texte aborde la problematique de l’enseignement du francais langue d’enseignement en contexte de reforme curriculaire et d’innovation technologique dans une ecole pilote de Dakar (Senegal). Son contenu se fonde sur des resultats d’un projet de recherche collaborative mettant en partenariat des chercheurs de la Chaire UNESCO en developpement curriculaire de l’Universite du Quebec a Montreal (CUDC) et de l’Institut national d’etude et d’action pour le developpement de l’education (INEADE, Dakar) dans le cadre d’un projet d’integration des technologies de l’information et de la communication (TIC) dans les apprentissages de base a l’ecole elementaire au Senegal [1] . Le texte montre qu’un enseignement de la langue base sur une approche par les situations de vie avec integration des TIC contribue au developpement des competences en litteratie chez les eleves. Les ameliorations dans les apprentissages en langue constatees lors des activites de lecture et d’ecriture dans une classe experimentale de CM1 y sont decrites en recourant a une double focalisation. Une focalisation qui porte sur le rapport de l’eleve a son environnement incluant les TIC et celle qui porte sur l’objet d’enseignement. A cet effet, les perspectives constructivistes et de la cognition situee nous servent de cadre de reference pour analyser l’integration des TIC dans les apprentissages de la langue d’enseignement a l’Ecole Serigne Amadou Aly Mbaye (SAAM).

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.864
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.001

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 head0.037
GPT teacher head0.289
Teacher spread0.251 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2012
Admission routes1
Has abstractyes

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