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Enregistrement W7155512015 · doi:10.59236/ijea2n8

The Effects of an Enriched Elementary Arts Education Program on Teacher Development, Artist Practices, and Student Achievement

2001· article· W7155512015 sur OpenAlexafffundabout
Рена Упитис, Katharine Smithrim, Ann Patteson, Margaret Meban

Notice bibliographique

RevueInternational journal of education and the arts · 2001
Typearticle
Langue
DomaineArts and Humanities
ThématiqueArt Education and Development
Établissements canadiensQueen's University
Organismes subventionnairesSocial Sciences and Humanities Research Council of CanadaGovernment of OntarioUniversity of ExeterAmerican Educational Research AssociationGeorge Cedric Metcalf Charitable Foundation
Mots-clésThe artsLanguage artsReading (process)Visual arts educationMusic educationPrimary educationWork (physics)Arts in educationDance

Résumé

récupéré en direct d'OpenAlex

Learning Through the Arts (LTTA) is a school transformation project developed by The Royal Conservatory of Music (Canada). The first elementary schools were founded in Toronto, Ontario, in 1995, and LTTA is currently operating in elementary schools in seven urban and rural sites across Canada. LTTA is designed with the goal of engaging students deeply in learning, through carefully designed math, science, history, geography, and language units that incorporate performing and visual arts into the learning process. This goal is achieved through a structured program of teacher development which includes the involvement of artists who work along with teachers to develop curricula. LTTA offers effective and sustainable professional development programs, based on the sharing of knowledge and skills between teachers, artists, and students, through multi-year partnerships. Artists model techniques and activities for teachers to implement in their classrooms and also work directly with students in schools.This articledescribes the baseline data gathered as the first part of the evaluation of the national LTTA program, for the students, teachers, parents, and administrators involved in the six sites that were established in 1999. Preliminary data were gathered over the 1999-2000 year. Canadian Achievement Tests (CAT/3) were used to assess students' performance in vocabulary, reading comprehension, and mathematics. In addition, writing samples were taken and scored holistically. Students also completed a survey indicating their interests in schooling in general and in the arts in particular, as well as in the activities they engaged in outside of school. Parents were asked to report on language(s) spoken at home, leisure activities, household income level, and the mother's education level. Teachers were surveyed regarding a variety of teaching beliefs and practices. Administrators were surveyed regarding their support for arts activities, both in terms of human and financial resources. Baseline data indicate that there are clear correlations between achievement in mathematics and language and engagement in arts activities, particularly with respect to music lessons (outside of school). That is, students who take music lessons outside of school perform significantly better on all language and mathematics measures than their peers who do not take music lessons. Not surprisingly, socio-economic status is also clearly related to arts activities and achievement, and strategies for tracking changes within socio-economic groups over the next two years of the study are planned. It was also found that attitudes towards various art forms are established in students as early as the first grade, with boys being less interested and perceiving themselves as less skilled, for example, in singing and dancing than their female peers. Hypotheses and general issues for consideration for the next two years of work are described, and methods for exploring those issues and hypotheses are also discussed.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,861
Score d'incertitude au seuil0,729

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,021
Tête enseignante GPT0,357
Écart entre enseignants0,336 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2001
Routes d'admission3
Résumé présentoui

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