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dc.contributor.authorSoneira, Carlos
dc.contributor.authorGonzález-Calero, José Antonio
dc.contributor.authorArnau, David
dc.date.accessioned2024-02-16T11:19:23Z
dc.date.available2024-02-16T11:19:23Z
dc.date.issued2023-06-19
dc.identifier.citationSoneira, C., González-Calero, J.A. & Arnau, D. Effect of algebraic language and problem text wording on problem model accuracy when solving age word problems. Educ Stud Math 114, 109–127 (2023). https://doi.org/10.1007/s10649-023-10236-xes_ES
dc.identifier.issn1573-0816
dc.identifier.urihttp://hdl.handle.net/2183/35638
dc.description.abstract[Abstract] The use of the algebraic method for solving word problems is a challenging topic for secondary school students. Students’ difficulties are usually associated with extracting the problem’s network of relationships between quantities and with formalizing these relationships into algebraic language in a problem model. Both sources can coexist and interact; thus, it is usually not possible to determine which source of difficulty is more relevant. In addition, there are specific errors, such as the error by multiple referents for the unknown, which are directly linked to the wording of the problem text, and in which the same two sources of error coexist. In this work, we present the results of an experiment conducted with 255 secondary school students assessing the effect of two common difficulties on the accuracy of problem models and on the rate of multiple referents for the unknown. The first difficulty is the use of algebraic language in the construction of the problem model; the second is the use of the same expression to designate different quantities within the problem text. We used a 2 × 2 between-between design, with one factor related to the symbolic language (algebraic or arithmetic) in which the problem model is constructed, and the other factor related to the actual language features of the text problem. Our results indicate that overall, the main source of difficulty for students is the use of algebraic language to formalize a problem model, representing a large effect size.
dc.description.sponsorshipOpen Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This work was supported by the Spanish Government through the project PGC2018-096463-B-I00, and by the Castilla-La Mancha Regional Administration under grant SBPLY/19/180501/000278.es_ES
dc.description.sponsorshipGobierno de Castilla-La Mancha; SBPLY/19/180501/000278
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-096463-B-I00/ES/USO DE SISTEMAS TUTORIALES INTELIGENTES PARA ESTUDIAR ASPECTOS COGNITIVOS Y AFECTIVOS EN LA ENSEÑANZA Y EL APRENDIZAJE DE LA RESOLUCION DE PROBLEMAS VERBALES
dc.relation.urihttps://doi.org/10.1007/s10649-023-10236-xes_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectWord problem
dc.subjectProblem model
dc.subjectAlgebraic language
dc.subjectSecondary school
dc.titleEffect of algebraic language and problem text wording on problem model accuracy when solving age word problemses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleEducational Studies in Mathematicses_ES
UDC.volume114es_ES
UDC.issue1es_ES
UDC.startPage109es_ES
UDC.endPage127es_ES


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