Transforming school culture through inquiry-driven learning and iPads
Notice bibliographique
Résumé
Purpose The purpose of this paper is to provide an overview of a commissioned research study that analyzed a schooling initiative with the ambitious goal of transforming learning environments across the district by advancing innovative, inquiry-driven pedagogical practices combined with 1:1 iPad distribution. The paper explores impacts of the initiative on pedagogical innovation, twenty-first century learning, and related impacts on professional learning, collaboration, and culture change in the pilot schools analyzed in the study. Design/methodology/approach A multi-dimensional case study approach was used to analyze how the initiative was implemented, and to what extent teaching, learning, and professional cultures were transformed, based on action plan inputs and “change drivers”. Research methods included structured, open-ended interviews conducted with randomly selected teachers and key informants in leadership roles, focus groups held with students, as well as analysis of policy documents, student work samples, and other data sources. Findings The authors found evidence of a synergistic relationship between innovations in inquiry-driven pedagogy and professional learning cultures, with evidence of increased collaboration, deepened engagement and persistence, and a climate of collegiality and risk-taking at both classroom and organizational levels. Based on initiative inputs, the authors found that innovations in collaborative technology/pedagogy practices in classrooms paralleled similar innovations and transformations in professional learning cultures and capacity-building networks. Practical implications This initiative analyzed in this paper provides a case study in large-scale system change, offering a compelling model for transformative policies and initiatives where interwoven innovations in pedagogy and technology mobilization are supported by multiple drivers for formal and informal professional learning/development and networked collaboration. Challenges and recommendations are highlighted in the concluding discussion. Originality/value The transformative initiative analyzed in this paper provides a very timely case-model for innovations in twenty-first century learning and, specifically, for enacting and sustaining large-scale system change where inquiry-driven learning and technology tools are being mobilized to support “deep learning”, “new learning partnerships”, and multilevel transformations in professional learning (Fullan and Donnelly, 2013). This research advances scholarly work in the areas of twenty-first century learning, identifying relationships between technology/pedagogy innovation and professional capital building (Hargreaves and Fullan, 2012).
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».