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Record W2289823781

Planifier pour un avenir écodurable: développer la compétence de planification écodurable chez des élèves de 6e année

2014· article· fr· W2289823781 on OpenAlexaffvenue
Michel Léger, Jackie Kerry, Diane Pruneau, Joanne Langis

Bibliographic record

VenueCanadian journal of environmental education · 2014
Typearticle
Languagefr
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Nos activites de surconsommation engendrent de nombreux problemes environnementaux qui menacent notre securite. Que ce soit pour resoudre ces divers problemes ou pour nous adapter aux sequelles de ceux-ci, nous aurons a mettre a profit certaines competences humaines. Parmi celles-ci, la planification nous semble particulierement importante. Nous estimons qu’enseigner des competences environnementales comme la planification ecodurable contribue a former des citoyens mieux outilles pour resoudre les problemes environnementaux locaux. L’etude cherche a mieux comprendre le developpement de la competence de planification dans un contexte environnemental chez des eleves d’une classe de 6e annee (N=14) ayant vecu un scenario pedagogique en education relative a l’environnement (ERE). En suivant une demarche methodologique qualitative, nous avons mene des entretiens semi structures avec nos participants avant et apres que ces derniers aient vecu une intervention pedagogique en ERE visant le developpement de la competence de planification ecodurable. Parmi nos resultats, nous rapportons que le niveau de competence en planification chez nos participants s’est ameliore pour l’ensemble des six indicateurs thematiques tires de la litterature scientifique et choisis pour cette etude. A noter que l’amelioration de l’indicateur « competences en durabilite » a ete la plus substantielle en comparaison des cinq autres. Les eleves ont ete plus aptes a planifier de facon ecodurable (d’apres leurs competences environnementales complementaires demontrees) en fonction de l’objet de planification (le quoi), des obstacles ou des aides a considerer, des moyens (le comment) necessaires a la realisation du plan, du materiel necessaire et des lieux impliques dans la planification (le ou). Il semble donc qu’il soit possible d’ameliorer la capacite de planifier chez un groupe d’eleves, a la suite d’une intervention pedagogique concue a cet effet.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.987
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.003
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 head0.008
GPT teacher head0.220
Teacher spread0.212 · 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 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
Published2014
Admission routes2
Has abstractyes

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