Beginning Teachers’ Development of Inclusive Practices: A Longitudinal Multiple-Case Study Approach
Notice bibliographique
Résumé
Classroom teachers are expected to have the competencies to teach in inclusive classrooms, with the goal of providing diverse learners the support and opportunities they deserve to learn at their best. However, teachers worldwide have reported their teacher education program was inadequate in preparing them to teach in inclusive classrooms. To address this, Sharma (2018) proposed the 3H framework – the three apprenticeships that preservice teachers should be prepared with to become effective inclusive educators: the heart (attitudes and beliefs of inclusive teachers), the head (knowledge and self-efficacy to teach diverse learners), and the hands (inclusive instructional practices). The goal of this study was to investigate the development of these three apprenticeships in teachers’ early career longitudinally. Eight Canadian beginning teachers were interviewed for four consecutive years about experiences that have contributed to their beliefs, self-efficacy, and instructional practices to teach in diverse classrooms, presented as case studies. Participants’ ideas were further examined collectively, resulting in nine themes: (a) “getting thrown in” to experiment with strategies; (b) gap between theory and reality – what worked or did not work in formal education; (c) what is inclusion?; (d) beliefs in children’s ability and exposure to diverse learners; (e) responsibilities as teachers and recognizing limits; (f) building relationships with students and caregivers; (g) a supportive and knowledgeable team; diversity and other components that affect learning; and (h) books, media, and technology. Developmental patterns were also noted. First, inclusive beliefs and instructional practices taught in teacher education programs were consistently mentioned across the four years of interviews but were not attributed to the influence of their education. Second, participants often began their career with confidence, but it decreased sharply as they experienced a “reality shock”; as time progressed, they either (a) accepted their limits as teachers and met students’ needs to the best of their abilities or (b) felt defeated and lost faith in the inclusive education system. The findings of this study added to our understanding of beginning teachers’ perception of where the issues lie, and directions for improving educational programs so they can better prepare preservice teachers for inclusive education.
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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 | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| 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 ».