The DOI matches its Crossref record.
Schemas in Problem Solving
Abstract
Schemas in Problem Solving explores a theory of schema development and studies the applicability of the theory as a unified basis for understanding learning, instruction and assessment. The theory's prescriptions for teaching are direct, and its application to assessment suggests new directions for tests. After examining the roots of the theory in earlier work by philosophers and psychologists, Marshall illustrates the main features of her theory with experimental evidence from students who are learning to recognize and solve arithmetic story problems. She describes individual performance with traditional empirical studies as well as computer simulation. The computer simulation reflects an approach in modelling cognition. Marshall's model links neural networks with symbolic systems to form a hybrid model that uses pattern matching of sets of features as well as logical step-by-step rules.
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
Cited by
Toward a design theory of problem solving
Jonassen, D. H. (2000) · Educational Technology Research and Development · doi:10.1007/bf02300500 · Cited by 2,114
Singer, S., & Smith, K. A. (2013) · Journal of Engineering Education · doi:10.1002/jee.20030 · Cited by 835
Whitmarsh, L. (2009) · Public Understanding of Science · doi:10.1177/0963662506073088 · Cited by 448
Integrating information: A meta-analysis of the spatial contiguity and temporal contiguity effects
Ginns, P. (2006) · Learning and Instruction · doi:10.1016/j.learninstruc.2006.10.001 · Cited by 403
Visual-spatial thinking: An aspect of science overlooked by educators
Mathewson, J. H. (1999) · Science Education · doi:10.1002/(sici)1098-237x(199901)83:1<33::aid-sce2>3.0.co;2-z · Cited by 342
Metadata
- Authors
- Marshall, S. P.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 1995-06-30
- OpenAlex
- W1514290684
- Cited by
- 659
- References
- 0
- FWCI
- 13.66
- Type
- book
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Schemas in Problem Solving. https://app.cochat.ai/papers/10.1017/cbo9780511527890
- The paper
- Marshall, S. P. (1995). Schemas in Problem Solving. Cambridge University Press eBooks. https://doi.org/10.1017/cbo9780511527890
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.
