MétaCan
Menu
Retour à la cohorte
Enregistrement W203103160

How Ontario Spread Successful Practices across 5,000 Schools: By Building and Supporting Networks of Educators throughout the Province, Ontario Was Able to Develop a System Now Highly Regarded for Both Equity and Excellence

2013· article· en· W203103160 sur OpenAlexaboutno aff
Avis Glaze

Notice bibliographique

RevuePhi Delta Kappan · 2013
Typearticle
Langueen
DomaineDecision Sciences
ThématiqueEvaluation and Performance Assessment
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésExcellencePublic relationsBest practiceSociologyEquity (law)WindsorPedagogyPolitical science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

[ILLUSTRATION OMITTED] There is such a range of rich professional learning opportunities that fuel a culture of collaboration among us. This investment by the Ontario Ministry of Education has nurtured meaningful dialogue about student achievement in our schools. It has fostered a contagious desire that helps us delve into deep conversations about teaching and learning. The networks that have been created challenge and stretch the boundaries of current pedagogical knowledge. We reflect on best practices and examine school-based data meticulously. We uncover the innovative practices that become the springboard to move student thinking forward. As this cycle continues, we become increasingly vested in unraveling further questions, hypotheses, and challenges while seeking out our colleagues to enrich their understandings as well ... It is through these empowering networks that we continue to share promising practices across schools and districts. --Susan Wright, elementary school teacher, Windsor, Ontario Before 2003, many would have said that the Ontario school system was in crisis. Today, the province has been recognized as one of the fastest-improving jurisdictions in the world. Ontario is lauded for achieving both excellence and equity, goals that many believe are mutually exclusive. One of the many lessons that Ontario learned is the importance of building capacity among teachers and principals to sustain strategies that work. When this happens, teachers are motivated, and they strive to do what they do best--educate all children, regardless of background or personal circumstances, to the maximum of their capabilities. During the years of its most intensive improvement work, Ontario educators could rely on support from the highest political levels of the province. Teachers' unions, and superintendents' and principals' associations also played a key role supporting the strategy by developing their members. I am convinced that systems do better when they take time nurturing trusting professional relationships with the individuals who are expected to do the daily work of implementation. Without the deep commitment of the adults, Ontario would never have been a success story. Ontario improvement strategy Although the success of the Ontario approach was driven by decisions initially made at the provincial level, the Ontario strategy included opportunities for negotiable variations and local adaptations. Providing for local adjustments based on achievement levels on literacy and numeracy, for example, demonstrated respect for the professional expertise of educators that is characteristic of the Ontario improvement strategy. Systems often waste time on too many priorities instead of targeting a few key areas for focused attention. In Ontario, we identified three main goals and provided professional learning to help districts identify a small number of SMART (Strategic and specific, Measurable, Attainable, Results-oriented, and Time-bound) goals to address larger provincial goals. That is where local decision making came into play, allowing professionals in each community to identify what would work best in their settings. Too often, when districts and schools engage in developing an improvement plan, they try to do too much, and the reality is that not much actually gets done (Glaze, Mattingley, & Andrews, 2013. p 29). Simply stated, the ministry's three main goals were to: * Improve student achievement; * Reduce gaps in student achievement; and * Improve public confidence in the public education system. The system redoubled its effort to achieve the specific goal to ensure that 75% of 12-year-olds reach the provincial standard of B or 70% within the specified time. At the secondary level, the intention was to raise graduation rates so that 85% of students would graduate from high school--up from 68%. …

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,014
Version: metacan-v3-hybrid-931329e0061cStatut 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: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,882
Score d'incertitude au seuil0,859

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,014
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,003
Études des sciences et des technologies0,0400,013
Communication savante0,0080,005
Science ouverte0,0030,007
Intégrité de la recherche0,0030,003
Charge utile insuffisante (le modèle a refusé de juger)0,0080,001

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 Opus0,097
Tête enseignante GPT0,444
Écart entre enseignants0,347 · 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 source (Gemma direct ou Codex distillé), 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
GenreCommentaire

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
Publié2013
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revuePhi Delta KappanMême sujetEvaluation and Performance AssessmentTravaux en français237 207