Mathematics is critical in the development of the individual. There are several variables that can predict student's future poor performance in the competence of mathematics. The aim of this study was to analyse and predict student's future mathematical performance according to: student's attributions of failure and student's approach to learning. In this study, we used a descriptive research design using survey research based on the application of a questionnaire. The association between student attributions of failure and student's approach to learning, with a focus on performance in mathematics, is very poor considering the independence of these variables and that they are negligibly related. Results in this study, the highest association with mathematical competence is established with: "This week, my teacher did not explain the concepts well enough for me to properly understand them" [chi 2=.103; p<.001] and "Essential aspects vs. Prior knowledge vs. Learning from memory" [chi 2=.155; p<.001]. Studies on predicting student's performance indicate that student's attributions have a greater predictive capacity for mathematical performance. The importance of operating with the attributional style in optimising student performance in the whole class is recommended.
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Univ Int La Rioja, Dept Educ, Logrono, SpainUniv Int La Rioja, Dept Educ, Logrono, Spain
Resino, Delia Arroyo
Constante-Amores, Alexander
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Univ European Madrid, Dept Psychol, Madrid, SpainUniv Int La Rioja, Dept Educ, Logrono, Spain
Constante-Amores, Alexander
Madrona, Pedro Gil
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Univ Castilla La Mancha, Fac Educ, Dept Didact Phys Artist & Mus Educ, Ciudad Real, SpainUniv Int La Rioja, Dept Educ, Logrono, Spain
Madrona, Pedro Gil
Lopez, Pedro Jose Carrillo
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Univ Castilla La Mancha, Fac Educ Toledo, Toledo, Spain
Govt Canary Isl, Dept Educ, Las Palmas Gran Canaria, SpainUniv Int La Rioja, Dept Educ, Logrono, Spain
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Beijing Normal Univ, Fac Educ, Tianjin, Peoples R China
Tianjin Municipal Educ Admiss & Examinat Author, Tianjin, Peoples R ChinaBeijing Normal Univ, Fac Educ, Tianjin, Peoples R China
Tang, Xing
Zhang, Danhui
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Beijing Normal Univ, Collaborat Innovat Ctr Assessment Basic Educ Qual, Beijing, Peoples R ChinaBeijing Normal Univ, Fac Educ, Tianjin, Peoples R China