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Record W2204602197

Développement d'un programme éducatif en espagnol basé sur les besoins de l'apprenant adulte du troisième âge

2013· article· fr· W2204602197 on OpenAlexaboutno aff
Ana Fernández

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldSocial Sciences
TopicEducational Practices and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

Selon le recensement Portrait de la population canadienne (E-Stat, 2006) et les Estimations de la population (E-Stat, 2010), la population canadienne et quebecoise depassant 55 ans augmente de facon importante et progressive depuis les dix dernieres annees. En 2051, la population âgee de plus de 64 ans devrait atteindre 25% de la population totale. Avec le vieillissement de la population canadienne, la longevite moyenne s'accroit graduellement. Pour mieux repondre a cette nouvelle realite, de nouveaux programmes educatifs pour le troisieme âge doivent etre developpes (Conseil canadien sur l'apprentissage-CCA, 2006). Ce travail a pour but de presenter ma demarche de developpement professionnel qui se situe dans le cadre de la Maitrise en education concentration en andragogie. Cet essai presente le developpement et la mise a l'essai d'un programme educatif en espagnol axe sur les hypotheses de base du modele andragogique et adapte aux besoins des apprenants¹ adultes du troisieme âge. Le programme de formation propose est planifie d'apres les travaux de Rivard (2009). Il est compose des quatre etapes suivantes: l'identification et l'analyse des besoins de formation, la planification et la conception de la formation, la diffusion de la formation, l'evaluation et le suivi postformation. Il s'agit d'un atelier de 20 heures qui se veut un espace d'expression et de creativite. ¹Dans ce projet, l'emploi du genre masculin a ete adopte avec une valeur neutre dans le but de faciliter sa lecture.

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), 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.682
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0150.002

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 head0.047
GPT teacher head0.323
Teacher spread0.276 · 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
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
Published2013
Admission routes1
Has abstractyes

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