Tracing pre-service teachers’ understanding of specialized content knowledge for sequencing and structuring mathematics learning in low-resource Malawi classrooms
Notice bibliographique
Résumé
While teaching quality is essential across all educational contexts, it holds particular significance in under-resourced and structurally challenged environments such as Malawi, where the education system is still developing. Despite this, little is known about how Malawian pre-service teachers develop their understanding of the knowledge and skills needed to teach mathematics in primary schools. This study investigates how two first-year pre-service teachers in Malawi approached the implementation of two mathematics teaching tasks, shedding light on both shared and divergent understandings of the knowledge required to sequence and structure students’ mathematics learning—a key component of Specialized Content Knowledge (SCK). Drawing on data collected from a teacher education college and the primary schools where the participants completed their supervised teaching practice, we employed thematic analysis informed by the practice-based theory of mathematical knowledge for teaching. Findings indicate that pre-service teachers primarily relied on their training experiences, particularly the guidance received from teacher education colleges and the utilization of low-cost instructional resources. This reliance often limited their responsiveness to students’ varied learning needs and restricted their ability to create opportunities for conceptual connections across mathematical topics and representations. However, as their teacher education progressed, participants began to develop a more refined understanding of the demands of teaching. They became increasingly aware of the complexities and contextual specificities of the knowledge and skills required for effective mathematics instruction in primary classrooms. Importantly, the study highlights how their evolving grasp of SCK enabled a more adaptive approach to the sequencing and structuring of students’ mathematics learning. These findings underscore the importance of fostering reflective, practice-based experiences in teacher education and point to the need for further research on the role of SCK in mathematics teacher preparation in resource-constrained educational environments. They also highlight the importance of conducting further research to better understand how SCK can be more effectively developed and implemented in mathematics teacher education programs in Malawi.
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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 | 0,003 | 0,001 |
| 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 | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».