Notice bibliographique
Résumé
Abstract Implementing a workshop approach to reading instruction presents many challenges for classroom teachers. These challenges come from external pressures such as high stakes testing, administrative edicts and peer pressures. They are also generated internally from lack of experience with instructional resources, variety of student experiences, and narrow definitions of reading and reading instruction. Introduction In the neo-conservative backlash we currently find ourselves in as educators (Taxel, 1999), instructional approaches that include children's literature in the elementary reading curriculum, commonly referred to as literature based instruction (Raphael & Au, 1997) or reading workshops (Atwell, 1998), are being challenged by current federal legislation and its support for scientifically-based commercial reading programs (e.g. Open Court, Direct Instruction). Teachers implementing workshop approaches, utilizing children's literature as a primary resource for instruction, are coming under fire to provide scientifically-based reading research to support their instructional choices. (Patel Stevens, 2003; Yatvin, Weaver, & Garan, 2003). Proponents of code-based approaches to reading instruction have suggested that literature-based approaches push the teaching of phonics and reading skills to the periphery of the reading program (Footman, Francis, & Fletcher, 1998). In addition, the inclusion of systematic, explicit phonics instruction in a reading workshop or balanced approach has been touted as the answer to the current literacy crisis in America's schools (Meyer, 2002). Considering the political nature of the current debates in reading instruction and what constitutes scientifically-based research (Allington, 2002; Garan, 2002), educators need to be concerned with more than the quality and breadth of the research used to support instructional decisions and programs. Literacy educators and classroom teachers also need to be concerned with the characteristics and abilities of the readers developed and supported in schools, the quality of the conversations among children and teachers, and the effects of standards and standardized assessments on the reading curriculum (Eisner, 2001; Noddings, 1997). With a shift in the political climate aligning to more conservative values and the rapid expansion of high stakes testing (McGill-Franzen, 2000), the role of children's literature may be reduced to an instructional device designed to teach children how to decode more effectively and identify the main idea of a reading selection in order to secure higher scores on standardized tests. Responding to political pressures, elementary teachers are being forced to adopt reading instructional practices and commercial reading programs that focus on decoding and comprehension strategies designed to raise standardized test scores, rather than utilizing children's literature in a workshop approach to reading instruction (Putney, Green, Dixon, & Kelly, 1999). A workshop approach to reading instruction generally includes, but is not limited to, the reading and discussion of authentic children's literature, the teaching of comprehension strategies in the context of reading, opportunities for students to read and explore texts independently, small group literature studies, shared and guided reading instruction, and instruction for decoding text (Serafini, 2001). Several of these components, in particular reading aloud and time for independent reading, were not directly supported by the findings of the National Reading Panel (Report of the national reading panel: Teaching children to read, 1999), to the extent that instruction in decoding and comprehension strategies was supported. Because of this, many teachers have been challenged to provide evidence in order to defend a workshop approach to reading instruction by school administrators, and state and federal authorities. …
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.
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 | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,002 |
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 ».