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Enregistrement W25495786 · doi:10.1177/003172170408600113

How are Professional Learning Communities Created?; History Has a Few Messages

2004· article· en· W25495786 sur OpenAlexaboutno aff
Bruce Joyce

Notice bibliographique

RevuePhi Delta Kappan · 2004
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueTeacher Education and Leadership Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésProfessional learning communityProfessional developmentMathematics educationPedagogyPsychologySociologyPublic relationsPolitical science

Résumé

récupéré en direct d'OpenAlex

Mr. Joyce has long been involved in efforts to develop collaborative professional inquiry. He looks back at some of those efforts in hope that we can draw lessons from them and finally realize vision that Mike Schmoker set forth in his February article. In article featured on cover of February Kappan, Mike Schmoker develops two important arguments about school renewal.1 The first is a powerful call to discard approaches variously known as strategic planning, systemic reform, comprehensive school reform, and whole-school reform, which have failed miserably and in plain sight. The second, which has style of a call to arms, is that we know best way to generate school improvement and should simply get on with it. He borrows words of Judith Warren Little: improvement is most surely and thoroughly achieved when teachers engage in frequent, continuous, and increasingly concrete and precise talk about teaching practice.2 Schmoker argues that we have a consensus of expert opinion on question, and he names 28 highly visible specialists in school improvement who agree, essentially, that schools should become centers of inquiry for adults as well as children. He urges them to spread word, to create tipping when educators embrace the most productive shift in history of educational practice.3 Here, I'd like to reflect on Schmoker's call to arms from perspective of research and experience with similar ideas over last 40 years. Why? Because I'd like to see dream of professional communities of inquiry work out well this time around. And for that to happen, we need to pay attention both to idea of schools in which adults study their practice and to ways of creating that condition. I like vision Schmoker offers -- so much, in fact, that I've been involved in efforts to disseminate similar visions since early 1960s. I was heavily involved in team-teaching movement and post-Sputnik academic reform movement. Both relied on collaborative study by teachers. I directed school at Teachers College, where teams not only studied teaching but produced research for dissemination. In teacher education program connected to our school and nearby New York schools, teacher candidates studied both teaching and collaborative school improvement. We were part of national competency-based campaign that emphasized collective inquiry into teaching beginning at preservice level. We introduced teacher candidates to professional learning communities while they were in training and gave them tools for studying teaching -- tools known as interaction analysis systems. At one point, at least a hundred teacher education programs and many large school districts used such tools. For example, schools in Montgomery County, Maryland, built a cadre of teachers who spread precise study of teaching through a district that then served a quarter of a million students. Those innovations have largely disappeared, but I have not reformed, though my tools have changed. As this is written, I am working with inquiring teams whose members are studying effects of curricula they are implementing, as in kindergartens of Northern Lights School Division in Alberta, British Columbia. We discussed these efforts in these pages in October 2003.4 I know from personal experience that commitment to an idea is different from knowing how to take effective action to make it happen. I have frequently helped people with fine ambitions spin their wheels because we didn't know enough about generating implementation. Today, I have more or less continual anxiety that my present shortcomings will generate a new set of mistakes by my clients. And I'm in good company. The broad literature on school renewal describes many failed attempts to build learning communities, attempts mounted by sophisticated people, armed with considerable energy and carefully constructed strategies. …

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)0,012
score de la tête « metaresearch » (Gemma)0,029
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,025
Score d'incertitude au seuil0,069

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0120,029
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0140,048
Communication savante0,0250,050
Science ouverte0,0020,011
Intégrité de la recherche0,0130,016
Charge utile insuffisante (le modèle a refusé de juger)0,0210,006

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 Opus0,288
Tête enseignante GPT0,372
Écart entre enseignants0,085 · 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'étudeQualitatif
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

Citations63
Publié2004
Routes d'admission1
Résumé présentoui

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