The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Contextualizing instruction: Leveraging students' prior knowledge and experiences to foster understanding of middle school science
Abstract
Contextualizing science instruction involves utilizing students' prior knowledge and everyday experiences as a catalyst for understanding challenging science concepts. This study of two middle school science classrooms examined how students utilized the contextualizing aspects of project‐based instruction and its relationship to their science learning. Observations of focus students' participation during instruction were described in terms of a contextualizing score for their use of the project features to support their learning. Pre/posttests were administered and students' final artifacts were collected and evaluated. The results of these assessments were compared with students' contextualizing scores, demonstrating a strong positive correlation between them. These findings provide evidence to support claims of contextualizing instruction as a means to facilitate student learning, and point toward future consideration of this instructional method in broader research studies and the design of science learning environments. © 2007 Wiley Periodicals, Inc. J Res Sci Teach 45: 79–100, 2008
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Cites
Statistical Power Analysis for the Behavioral Sciences
Muller, K. (1989) · Technometrics · doi:10.1080/00401706.1989.10488618 · Cited by 99,167
Statistical power analysis for the behavioral sciences
(1990) · Computers, Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,269
Situated Learning: Legitimate Peripheral Participation.
Bloch, M., Lave, J., & Wenger, E. (1994) · Man · doi:10.2307/2804509 · Cited by 39,454
Situated Learning: Legitimate Peripheral Participation
Lave, J., & Wenger, E. (1991) · Cambridge University Press eBooks · doi:10.1017/cbo9780511815355 · Cited by 35,324
Situated Cognition and the Culture of Learning
Brown, J. S., Collins, A., & Duguid, P. (1989) · Educational Researcher · doi:10.3102/0013189x018001032 · Cited by 13,645
National Science Education Standards
Shea, J. H. (1995) · Journal of Geological Education · doi:10.5408/0022-1368-43.2.102 · Cited by 7,888
Motivating Project-Based Learning: Sustaining the Doing, Supporting the Learning
Blumenfeld, P. C., Soloway, E., Marx, R. W., Krajcik, J. S., Guzdial, M., & Palincsar, A. (1991) · Educational Psychologist · doi:10.1080/00461520.1991.9653139 · Cited by 3,594
Self-citationThe Role of interest in Learning and Development
(2014) · Psychology Press eBooks · doi:10.4324/9781315807430 · Cited by 1,610
National Science Education Standards: (302882005-001)
The National Academy of Sciences; The Center for Education (1996) · PsycEXTRA Dataset · doi:10.1037/e302882005-001 · Cited by 1,555
Marks, H. M. (2000) · American Educational Research Journal · doi:10.2307/1163475 · Cited by 1,554
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Metadata
- Authors
- Rivet, A. E., & Krajcik, J. S.
- Venue
- Journal of Research in Science Teaching
- Publisher
- Wiley
- Published
- 2007-11-05
- Volume
- 45
- Issue
- 1
- Pages
- 79-100
- ISSN
- 0022-4308 (ISSN-L)
- 1098-2736
- OpenAlex
- W1991355288
- Cited by
- 272
- References
- 43
- FWCI
- 27.56
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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