Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/70352

TítuloLooking for a pattern: Error analysis as a diagnostic assessment for making instructional decisions to promote academic success
Autor(es)Tabacu, Lucia M.
Watson, Silvana Maria
Chezar, Laura C.
Gable, Robert
Oliveira, Celia R.
Lopes, João A.
Palavras-chaveAssessment
division
error analysis
instruction
multiplication
Data2020
EditoraTaylor & Francis Ltd
RevistaPreventing School Failure
CitaçãoLucia M. Tabacu , Silvana Maria Watson , Laura C. Chezar , Robert Gable , Célia R. Oliveira & João Lopes (2020): Looking for a pattern: Error analysis as a diagnostic assessment for making instructional decisions to promote academic success, Preventing School Failure: Alternative Education for Children and Youth, DOI: 10.1080/1045988X.2020.1818180
Resumo(s)We examined the type of errors on multiplication and division computation problems of 326 rising fifth graders enrolled in four elementary schools in Northern Portugal. We further examined whether there was a difference in the number of errors across age and whether there was an association between students' performance on number knowledge and multiplication and division computation problems. Error analysis of students' responses indicated that miscalculation and no attempt to solve the problem were the two most frequent error types. We found that older students made more errors compared to younger students. We argue that knowledge of individual student error types is critical to making sound instructional decisions. Based on the results of the present study, we discuss implications for future research and classroom practice.
TipoArtigo
URIhttps://hdl.handle.net/1822/70352
DOI10.1080/1045988x.2020.1818180
ISSN1045-988X
e-ISSN1940-4387
Versão da editorahttp://dx.doi.org/10.1080/1045988x.2020.1818180
Arbitragem científicayes
AcessoAcesso restrito UMinho
Aparece nas coleções:BUM - CIÊNCIAVITAE

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