The DOI matches its Crossref record; 102 of the 102 references it cites were found in a registry or an index.
Learning progressions and teaching sequences: a review and analysis
Abstract
Our paper is an analytical review of the design, development and reporting of learning progressions and teaching sequences. Research questions are: (1) what criteria are being used to propose a ‘hypothetical learning progression/trajectory’ and (2) what measurements/evidence are being used to empirically define and refine a ‘hypothetical learning progression/trajectory’? Publications from five topic areas are examined: teaching sequences, teaching experiments, didaktiks, learning trajectories in mathematics education and learning progressions in science education. The reviewed publications are drawn from journal special issues, conference reports and monographs. The review is coordinated around four frameworks of Learning Progressions (LP): conceptual domain, disciplinary practices, assessment/measurement and theoretical/guiding conceptions. Our findings and analyses show there is a distinction between the preferred learning pathways that focus on ‘Evolutionary LP’ models and the less preferred but potentially good LP starting place curriculum coherence focused ‘Validation LP’ models. We report on the respective features and characteristics for each.
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Cites
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“The recognition given to formative assessments reinforces the distinction between ‘assessment of learning’ and ‘assessment for learning’ (Black & Wiliam, 1998) that, respectively, differentiates achievement measures from diagnostic measures.”
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Cited by
Furtak, E. M., Kiemer, K., Circi, R. K., Swanson, R., de León, V., Morrison, D., & Heredia, S. C. (2016) · Instructional Science · doi:10.1007/s11251-016-9371-3 · Cited by 160
Fonger, N. L., Stephens, A., Blanton, M., Isler, I., Knuth, E., & Gardiner, A. M. (2018) · Cognition and Instruction · doi:10.1080/07370008.2017.1392965 · Cited by 46
Investigating a learning progression of functional thinking for elementary students
Deng, X., Ding, R., & Huang, R. (2025) · Educational Studies in Mathematics · doi:10.1007/s10649-024-10376-8 · Cited by 4
Metadata
- Authors
- Duschl, R., Maeng, S., & Sezen, A.
- Venue
- Studies in Science Education
- Publisher
- Informa UK Limited
- Published
- 2011-09
- Volume
- 47
- Issue
- 2
- Pages
- 123-182
- ISSN
- 0305-7267 (ISSN-L)
- 1940-8412
- OpenAlex
- W2111064139
- Cited by
- 375
- References
- 102
- FWCI
- 82.28
- 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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.