Blended Learning for Professional Development: An Evaluation of A Program for Middle School Mathematics and Science Teachers
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Notice bibliographique
Résumé
Background Improving the subject matter knowledge and pedagogical skills of teachers of mathematics and science is a key priority for many jurisdictions. Blended learning is a promising, yet so far seldom used model for supporting teacher professional development. This model combines the advantages of traditional face-to-face interaction with the flexibility of online learning. Purpose In this study, we examine two one-year professional development programs for middle-school mathematics and science/technology teachers that employed blended learning. The goal of our research was to understand how the program affected teacher attitudes toward and pedagogical practices in these subjects and on student perceptions and learning of the subjects. Participants Participants in the study were 68 mathematics and 65 science/technology teachers in grades 6, 7, and 8 in several school districts in a large urban center, along with their students: 477 students from the mathematics teachers’ classes and 551 from the science/technology teachers’ classes. Program The blended learning program, known as the Teacher eLearning Project (TeL), began at the start of the school year with a module that consisted of a daylong face-to-face session followed by an eight-week online session. The first year of TeL focused on the mathematics teachers who had a total of three modules to complete; in the second year, science/technology teachers had two modules. Research design We used Guskey's (2000) five-level evaluation framework to assess the impact of the programs on teachers’ attitudes and knowledge, institutional support for the programs, changes in classroom practices, and student perceptions and learning of the subjects. Data were obtained using a pre-post design that included surveys, classroom observations, and key informant interviews. Findings Overall our results indicate that the program appeared to influence positively teacher attitudes and content knowledge in certain curricular areas and motivated many to transform their classroom practice to varying degrees. Despite this, student responses were mixed: students viewed mathematics less favorably by the end of the program, but became more positively inclined towards science/technology. Conclusions The blended learning model shows potential for teacher professional development, although further research preferably through controlled studies is needed. Aspects that need to be examined further include the nature of the online tasks given to teachers, the role of the online facilitators, the impact on student achievement, and the implications of providing teachers with less release time than was available in this study.
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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 | 0,013 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| 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 découle