The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Can professional development make the vision of the standards a reality? The impact of the national science foundation's local systemic change through teacher enhancement initiative
Abstract
Professional development is seen as one of the major levers for aligning science instruction in the USA with the vision put forth by national standards documents. Although there is a growing consensus regarding what constitutes effective professional development, there is little empirical evidence to support this consensus. This study examines the impact of professional development that is content‐based, situated in classroom practice, and sustained over time on teacher attitudes, perceptions of preparedness, and classroom practices. It utilizes longitudinal data from the National Science Foundation's Local Systemic Change through Teacher Enhancement Initiative (LSC), collected from 42 projects over a span of 7 years. The professional development model used in the LSCs differed from previous initiatives in that it targeted all teachers in a jurisdiction and emphasized preparing teachers to implement project‐designated instructional materials. Analyses of the data provide evidence that this model for professional development has an impact on teachers and their classroom practices. In addition, the analyses found that teachers' perception of principal support for Standards‐based science instruction is an important predictor of these outcomes. © 2006 Wiley Periodicals, Inc. J Res Sci Teach 44: 375–395, 2007
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Professional Development and Teacher Learning: Mapping the Terrain
Borko, H. (2004) · Educational Researcher · doi:10.3102/0013189x033008003 · Cited by 4,208
Cited by
Desimone, L. M. (2009) · Educational Researcher · doi:10.3102/0013189x08331140 · Cited by 4,862
Videobased lesson analysis: Effective science PD for teacher and student learning
Roth, K. J., Garnier, H. E., Chen, C., Lemmens, M., Schwille, K., & Wickler, N. I. Z. (2011) · Journal of Research in Science Teaching · doi:10.1002/tea.20408 · Cited by 362
Metadata
- Authors
- Banilower, E. R., Heck, D. J., & Weiss, I. R.
- Venue
- Journal of Research in Science Teaching
- Publisher
- Wiley
- Published
- 2006-11-14
- Volume
- 44
- Issue
- 3
- Pages
- 375-395
- ISSN
- 0022-4308 (ISSN-L)
- 1098-2736
- OpenAlex
- W1963935400
- Cited by
- 227
- References
- 1
- FWCI
- 20.38
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.