Cited by 45Mathematics Education and PedagogyCognitive and developmental aspects of mathematical skillsMathematics Education and Teaching Techniques

Semantic congruence in arithmetic: A new conceptual model for word problem solving

Open access
Gros, Hippolyte, Thibaut, Jean-Pierre, Sander, Emmanuel·2020·Educational Psychologist

Abstract

Arithmetic problem solving is a crucial part of mathematics education. However, existing problem solving theories do not fully account for the semantic constraints partaking in the encoding and recoding of arithmetic word problems. In this respect, the limitations of the main existing models in the literature are discussed. We then introduce the Semantic Congruence (SECO) model, a theoretical model depicting how world and mathematical semantics interact in the encoding, recoding, and solving of arithmetic word problems. The SECO model’s ability to account for emblematic results in educational psychology is scrutinized through six case studies encompassing a wide range of effects observed in previous works. The influence of world semantics on learners’ problem representations and solving strategies is put forward, as well as the difficulties arising from semantic incongruence between representations and algorithms. Special attention is given to the recoding of semantically incongruent representations, a crucial step that learners struggle with.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/00461520.2019.1691004

Cites

94 of 95 references verified0 citation errors · 1 not checkable

Statistics

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.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 11

  1. Carpenter, T. P., & Moser, J. M. (1982). The development of addition and subtraction problem- solving skills. In T. P. Carpenter, J. M. Moser & T. A. Romberg (Eds.), Addition and subtraction: A cognitive perspective, (pp. 9-24). Hillsdale, NJ: Lawrence Erlbaum Associates.
  2. Fischbein, E. (1989). Tacit models and mathematical reasoning. For the learning of mathematics, 9(2), 9-14.
  3. Gros, H., Sander, E., & Thibaut, J. P. (2016). "This problem has no solution": When closing one of two doors results in failure to access any. In A. Papafragou, D. Grodner, D. Mirman, & J. C. Trueswell (Eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society (pp. 1271-1276). Austin, TX: Cognitive Science Society.
  4. Gvozdic, K., & Sander, E. (2017). Solving additive word problems: Intuitive strategies make the difference. In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.), Proceedings of the 39 th Annual Conference of the Cognitive Science Society. London, UK: Cognitive Science Society.
  5. Johnson-Laird, P. N. (1983). Mental models: Towards a cognitive science of language, inference, and consciousness (No. 6). Harvard University Press.
  6. Leikin, R., & Lev, M. (2007). Multiple solution tasks as a magnifying glass for observation of mathematical creativity. In Proceedings of the 31st international conference for the psychology of mathematics education, 3, 161-168. The Korea Society of Educational Studies in Mathematics Seoul, Korea.
  7. Newell, A., & Simon, H. A. (1972). Human problem solving (Vol. 104, No. 9). Englewood Cliffs, NJ: Prentice-Hall.
  8. Paquette, G., Léonard, M., Lundgren-Cayrol, K., Mihaila, S., & Gareau, D. (2006). Learning design based on graphical knowledge-modeling. Journal of Educational Technology & Society, 9(1).
  9. Schank, R. C., & Abelson, R. P. (1977). Scripts, plans and understanding: An inquiry into human knowledge structures. Oxford, UK: Lawrence Erlbaum.
  10. Silver, E. A. (1981). Recall of mathematical problem information: Solving related problems. Journal for research in mathematics education, 54-64. https://doi.org/10.3758/10.2307/748658 · DOI
  11. Van Dijk, T. A., & Kintsch, W. (1983). Strategies of discourse comprehension. New York: Academic Press.

Cited by

Sorted by citations

Authors
Gros, H., Thibaut, J.-P., & Sander, E.
Affiliations
  • Learning Planet Institute (FR)
  • Centre National de la Recherche Scientifique (FR)
  • University of Geneva (CH)
Corresponding author
Gros, Hippolyte
Venue
Educational Psychologist
Published
2020-02-18
Volume
55
Issue
2
Pages
69-87
ISSN
  • 0046-1520 (ISSN-L)
  • 1532-6985
OpenAlex
W3007354414
Cited by
45
References
92
Citations by year
2026: 7 · 2025: 9 · 2024: 10 · 2023: 8 · 2022: 6 · 2021: 2 · 2020: 2 · 2019: 1
FWCI
5.19
Type
journal article
Language
en
Open access
Licence
cc-by-nc-nd
Locations
  • Educational Psychologist (publishedVersion)
  • HAL (submittedVersion, cc-by-nc-nd)
  • HAL (submittedVersion)
Topics
  • Physical Sciences › Mathematics › Applied Mathematics › Mathematics Education and Pedagogy
  • Physical Sciences › Mathematics › Statistics and Probability › Cognitive and developmental aspects of mathematical skills
  • Social Sciences › Education › Mathematics Education and Teaching Techniques
Keywords
arithmetic word problems, semantic congruence, denotational semantics, problem encoding, problem representation, solution strategies, semantic incongruence, arithmetic problem solving

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