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Autor/inn/enGros, Hippolyte; Thibaut, Jean-Pierre; Sander, Emmanuel
TitelSemantic Congruence in Arithmetic: A New Conceptual Model for Word Problem Solving
QuelleIn: Educational Psychologist, 55 (2020) 2, S.69-87 (19 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Gros, Hippolyte)
ORCID (Thibaut, Jean-Pierre)
ORCID (Sander, Emmanuel)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0046-1520
DOI10.1080/00461520.2019.1691004
SchlagwörterSemantics; Arithmetic; Models; Word Problems (Mathematics); Problem Solving; Mathematics Instruction; Teaching Methods; Cognitive Processes
AbstractArithmetic 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. (As Provided).
AnmerkungenRoutledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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