The DOI matches its Crossref record.
Teacher Education and the American Future
Abstract
For teacher education, this is perhaps the best of times and the worst of times. It may be the best of times because so much hard work has been done by many teacher educators over the past two decades to develop more successful program models and because voters have just elected a president of the United States who has a strong commitment to the improvement of teaching. It may be the worst of times because there are so many forces in the environment that conspire to undermine these efforts. In this article, the author discusses the U.S. context for teacher education, the power of teacher preparation for transforming teaching and learning, and the current challenges for this enterprise in the United States.
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Citations
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Guiding Preservice Teachers to Adapt Mathematics Word Problems Through Interactions with ELLs
Kurz, T. L., Gómez, C., & Jimenez-Silva, M. (2017) · Journal of Urban Mathematics Education · doi:10.21423/jume-v10i1a291 · Cited by 8
“And while researchers have encouraged the focus on meeting the needs of ELLs through teacher preparation courses and lessons (see, e.g., Darling-Hammond, 2010; Keengwe, 2010; Samson & Collins, 2012), there are still challenges in that preservice teachers (most often) are not being prepared to meet…”
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Papp, T., & Cottrell, M. (2021) · Alberta Journal of Educational Research · doi:10.55016/ojs/ajer.v67i2.58419 · Cited by 1
Metadata
- Authors
- Darling-Hammond, L.
- Venue
- Journal of Teacher Education
- Publisher
- SAGE Publications
- Published
- 2009-12-30
- Volume
- 61
- Issue
- 1-2
- Pages
- 35-47
- ISSN
- 0022-4871 (ISSN-L)
- 1552-7816
- OpenAlex
- W1993835241
- Cited by
- 1,253
- References
- 0
- FWCI
- 139.43
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
