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Classroom Composition and the Design of Instruction
Abstract
Studies of structural effects in education have usually attributed normative or comparative reference-group meaning to school composition. The results of such studies show that variation among students in schools accounts for only modest amounts of aspiration and achievement. This study of elementary school classrooms and instructional groups departs from the familiar formulations and shows how school systems successively transform the composition of schools, grades, and classes as part of a process of allocating and using resources. It shows how the difficulty of classes, an indication of composition, constrains the composition of instructional groups, the instruction applied to them, and the learning of individuals.
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Cited by
Chapter 3: The Development of Children’s Motivation in School Contexts
Wigfield, A., Eccles, J. S., & Rodriguez, D. (1998) · Review of Research in Education · doi:10.3102/0091732x023001073 · Cited by 402
Schulstruktur und die Entstehung differenzieller Lern- und Entwicklungsmilieus
Baumert, J., Stanat, P., & Watermann, R. (2007) · Herkunftsbedingte Disparitäten im Bildungswesen: Differenzielle Bildungsprozesse und Probleme der Verteilungsgerechtigkeit · doi:10.1007/978-3-531-90082-7_4 · Cited by 340
Metadata
- Authors
- Dreeben, R., & Barr, R.
- Venue
- Sociology of Education
- Publisher
- JSTOR
- Published
- 1988-07
- Volume
- 61
- Issue
- 3
- Pages
- 129
- ISSN
- 0038-0407 (ISSN-L)
- OpenAlex
- W2002031982
- Cited by
- 178
- References
- 0
- FWCI
- 21.53
- Type
- journal article
- Language
- en
- Open access
- closed
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- Dreeben, R., & Barr, R. (1988). Classroom Composition and the Design of Instruction. Sociology of Education. https://doi.org/10.2307/2112622
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.