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Enregistrement W2223059457 · doi:10.1108/jpcc-09-2015-0007

Essential features of effective networks in education

2016· article· en· W2223059457 sur OpenAlex

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Notice bibliographique

RevueJournal of Professional Capital and Community · 2016
Typearticle
Langueen
DomainePsychology
ThématiqueEducational and Psychological Assessments
Établissements canadiensInstitute for Christian StudiesUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésCLARITYGeneral partnershipAccountabilityComputer sciencePublic relationsKnowledge managementPolitical sciencePsychologyProcess managementMathematics educationBusiness

Résumé

récupéré en direct d'OpenAlex

Purpose – The purpose of this paper is to advance clarity and precision around effective action in networks, understood as collaboration that: first, deepens the learning and engagement of students and adults; second, enhances the professional capital of teachers and leaders; and third, becomes a positive force of whole system improvement. It distills eight essential features of effective networks by fleshing out key lessons from existing research and from emerging education network developments in the English-speaking world and Latin America. It then discusses three shifts required for a new partnership between networks and central leadership to turn networks into forces of educational system renewal. Design/methodology/approach – Two sources of evidence were identified and reviewed: first, literature reviews and studies aimed at identifying characteristics of effective networks in education; and second, network case studies and R & D initiatives that used networks as their improvement strategy and had demonstrated positive impact on student outcomes or on one or more professional capital variables often associated with improved student outcomes. To distill the eight essential features of effective networks and three required shifts in the relationship between networks and central leadership, the authors engaged in an iterative process of thematic analysis (Boyatzis, 1998) deliberately searching for key characteristics and processes describing effective collaboration. The list was revised for completeness and parsimony. Findings – The eight essential features of effective networks identified are: first, focussing on ambitious student learning outcomes linked to effective pedagogy; second, developing strong relationships of trust and internal accountability; third, continuously improving practice and systems through cycles of collaborative inquiry; fourth, using deliberate leadership and skilled facilitation within flat power structures; fifth, frequently interacting and learning inwards; sixth, connecting outwards to learn from others; seventh, forming new partnership among students, teachers, families, and communities; and eighth, securing adequate resources to sustain the work. The three required shifts in the relationship between networks and central leadership are: first, from supply driven to demand driven; second, from compliance oriented to learning oriented; and third, from bureaucracy to movement. Research limitations/implications – The key limitation derives from the scarce available evidence to date causally – or even co-relationally – connecting network activities with improved student learning. This paper summarizes what is known to date about effective collaboration in networks and advance a theory of action that causally links network activities with improved student outcomes and enhanced professional capital. This theory of action, summarized in eight essential features, simultaneously offers key hypotheses for social network theory in education and actionable guidelines to develop effective networks. Practical implications – The eight essential features of effective networks and the three required shifts in the relationship between networks and central leadership presented here were intentionally framed as action oriented. They offer a clear and actionable set of guidelines to develop effective networks. Social implications – The power of networks as vehicles to dramatically improve schools and entire educational systems is yet to be realized. This paper offers guidelines to enhance the effectiveness of networks, and thus contributes to the realization of the yet unfulfilled promise of networks. Originality/value – This work adds originality and value in three ways: first, it draws from both existing studies on effective networks and successful and promising education networks; second, its findings apply to multiple configurations of networks, across multiple contexts – existing publications place their focus on specific network configurations or a specific network case or initiative; third, it looks at effective collaboration in networks from the dual perspective of local problem solving and whole system improvement.

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.

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: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,531
Score d'incertitude au seuil0,337

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 technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 Opus0,016
Tête enseignante GPT0,383
Écart entre enseignants0,367 · 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