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The quandary of diagnosing mathematical difficulties in a generally low performing population

O dilema de diagnosticar dificuldades de aprendizagem da matemática em uma população com desempenho geral aquém do esperado

ABSTRACT.

Brazilian students’ mathematical achievement was repeatedly observed to fall below average levels of mathematical attainment in international studies such as PISA.

Objective:

In this article, we argue that this general low level of mathematical attainment may interfere with the diagnosis of developmental dyscalculia when a psychometric criterion is used establishing an arbitrary cut-off (e.g., performance<percentile 10) may result in misleading diagnoses.

Methods:

Therefore, the present study evaluated the performance of 706 Brazilian school children from 3rd to 5th grades on basic arithmetic operations addition, subtraction, and multiplication.

Results:

In line with PISA results, children presented difficulties in all arithmetic operations investigated. Even after five years of formal schooling, less than half of 5th graders performed perfectly on simple addition, subtraction, or multiplication problems.

Conclusions:

As such, these data substantiate the argument that the sole use of a psychometric criterion might not be sensible to diagnose dyscalculia in the context of a generally low performing population, such as Brazilian children of our sample. When the majority of children perform poorly on the task at hand, it is hard to distinguish atypical from typical numerical development. As such, other diagnostic approaches, such as Response to Intervention, might be more suitable in such a context.

Keywords:
diagnosis; dyscalculia; learning disabilities; mathematics

RESUMO.

O desempenho em matemática dos estudantes brasileiros mostra-se consistentemente abaixo da média mundial em estudos internacionais como o PISA.

Objetivo:

No presente artigo, argumenta-se que um baixo desempenho geral na matemática, a exemplo dos estudantes brasileiros, pode interferir no diagnóstico de discalculia do desenvolvimento quando um critério puramente psicométrico é usado para estabelecer um ponto de corte arbitrário (por exemplo, desempenho<percentil 10), o que pode resultar em falsos diagnósticos.

Métodos:

Para tanto, investigou-se o desempenho de 706 estudantes brasileiros do 3º ao 5º ano escolar em operações aritméticas básicas de adição, subtração e multiplicação.

Resultados:

De forma consistente com os resultados do PISA, as crianças apresentaram dificuldades em todas as operações aritméticas investigadas. Mesmo após cinco anos de escolarização formal, menos da metade dos estudantes do 5º ano foi capaz de completar a tarefa envolvendo cálculos simples de adição, subtração ou multiplicação.

Conclusões:

Dessa forma, os resultados reforçam o argumento de que o uso exclusivo de um critério psicométrico pode não ser apropriado para o diagnóstico de discalculia no contexto de uma população com desempenho geral baixo, como no caso crianças brasileiras da presente amostra. Quando a maioria das crianças tem um desempenho aquém do esperado, torna-se difícil distinguir o desenvolvimento numérico atípico do típico. Portanto, outras abordagens diagnósticas, como Resposta à Intervenção, podem ser mais adequadas em tal contexto.

Palavras-chave:
diagnóstico; dificuldades de aprendizagem; discalculia; matemática

INTRODUCTION

Mathematics is an important predictor of scientific and technological development, which is important for success in competitive global economies.11. Beddington J, Cooper C, Field J, Goswami U, Huppert F, Jenkins R, et al. The mental wealth of nations. Nature. 2008;455(7216):1057-60. https://doi.org/10.1038/4551057a
https://doi.org/https://doi.org/10.1038/...
For this reason, many countries have increased investments in basic mathematical education.11. Beddington J, Cooper C, Field J, Goswami U, Huppert F, Jenkins R, et al. The mental wealth of nations. Nature. 2008;455(7216):1057-60. https://doi.org/10.1038/4551057a
https://doi.org/https://doi.org/10.1038/...
,22. Haase VG, Fritz A, Räsänen P. Editorial: Research on numerical cognition in Latin American countries. J Psychol. 2020;41(2):217-44. https://doi.org/10.1080/02109395.2020.1748843
https://doi.org/https://doi.org/10.1080/...
,33. Kotzé J, van der Berg S. Mathematical Performance among the Poor: Comparative Performance across Developing Countries. In: Fritz A, Haase VG, Rasanen P. International Handbook of Mathematical Learning Difficulties. Cham: Springer; 2019. p. 57-71. https://doi.org/10.1007/978-3-319-97148-3_5
https://doi.org/https://doi.org/10.1007/...
Despite increased international recognition and higher investments in mathematical education, mathematical achievement in several countries remains a cause for concern.44. Haase VG, Krinzinger H. Adding all up: Mathematical Learning Difficulties Around the World. In: Fritz A, Haase VG, Rasanen P. International Handbook of Mathematical Learning Difficulties. Cham: Springer ; 2019. p. 311-25. https://doi.org/10.1007/978-3-319-97148-3_20
https://doi.org/https://doi.org/10.1007/...
This is especially the case in Brazil.55. Dorneles BV. Mathematical Learning and Its Difficulties in Latin-American Countries. In: Fritz A, Haase VG, Rasanen P. International Handbook of Mathematical Learning Difficulties. Cham: Springer ; 2019. p. 201-12. https://doi.org/10.1007/978-3-319-97148-3_13
https://doi.org/https://doi.org/10.1007/...
According to Programme for International Student Assessment (PISA) scores, no significant improvement has been observed in mathematics achievement of Brazilian students from 2003 to 2018. Results of PISA 2018 indicated that performance of Brazilian students in mathematics was significantly below Organisation for Economic Co-operation and Development (OECD) average.66. Brazil. Diretoria de Avaliação da Educação Básica. Relatório Brasil no PISA 2018. Brasília, Brazil; 2019 ENT#091;accessed on Jan 3, 2020ENT#093;. Available at: Available at: http://download.inep.gov.br/acoes_internacionais/pisa/documentos/2019/relatorio_PISA_2018_preliminar.pdf .
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Moreover, the majority of students assessed scored below level 2 of math proficiency, which is considered the minimum necessary for young people to fully exercise their citizenship.66. Brazil. Diretoria de Avaliação da Educação Básica. Relatório Brasil no PISA 2018. Brasília, Brazil; 2019 ENT#091;accessed on Jan 3, 2020ENT#093;. Available at: Available at: http://download.inep.gov.br/acoes_internacionais/pisa/documentos/2019/relatorio_PISA_2018_preliminar.pdf .
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Finally, PISA results also showed another alarming result: the upper half of Brazilian students (i.e., performing above percentile 50) still performed worse than the lower half of students (i.e., performing below percentile 50) from countries scoring highest in PISA 2018 such as South Korea, Finland, and Canada.77. Schleicher A. PISA 2018: Insights and Interpretations. Organisation for Economic Co-operation and Development; 2019. OECD - Education Library. ENT#091;accessed on Feb 4, 2020ENT#093; Available at: Available at: https://www.oecd.org/pisa/PISA%202018%20Insights%20and%20Interpretations%20FINAL%20PDF.pdf .
https://www.oecd.org/pisa/PISA%202018%20...

A cornerstone for developing more advanced mathematical abilities is the mastery of the basic arithmetic operations: addition, subtraction, and multiplication.88. Geary DC, Hoard MK. Learning disabilities in arithmetic and mathematics: Theoretical and empirical perspectives. In: Campbell JI. Handbook of mathematical cognition. New York: Psychology Press; 2005. p. 253-67. https://doi.org/10.4324/9780203998045-24
https://doi.org/https://doi.org/10.4324/...
,99. Common Core State Standards Initiative. Common Core State Standards for mathematics. 2010. ENT#091;accessed on Feb 4, 2020ENT#093;. Available at: Available at: http://www.corestandards.org/assets/CCSSI_Math%20Standards.pdf .
http://www.corestandards.org/assets/CCSS...
When children start learning basic arithmetic operations, they usually use rather effortful and error-prone procedural strategies, mostly based on (finger) counting.1010. Fuson KC. Children’s Counting and Concepts of Number. New York-Berlin-Heidelberg-London-Paris-Tokyo: Springer-Verlag: Springer; 1988. (Springer Series in Cognitive Development). With practice, children become able to use more sophisticated procedural strategies (e.g., based on mental calculation and using composition/decomposition of numbers, for example “16+7=16+4=20+3=23”) and may even retrieve solutions from long-term memory for specific problems (e.g., tie problems such as “4+4”) or operations such as multiplication. However, some children persistently struggle to learn arithmetic.

Difficulties in learning basic arithmetic operations have been associated with dyscalculia, which reflects a circumscribed disability in handling numbers and arithmetic operations.1111. American Psychiatry Association. Diagnostic and Statistical Manual of Mental disorders. 5. ed. Arlington, VA: American Psychiatric Association; 2013. A substantial number of school-aged children (i.e., between 3 and 6%, depending on the study)1212. Fortes IS, Paula CS, Oliveira MC, Bordin IA, de Jesus MJ, Rohde LA. A cross-sectional study to assess the prevalence of DSM-5 specific learning disorders in representative school samples from the second to sixth grade in Brazil. Eur Child Adol Psych. 2015;25(2):195-207. http://doi.org/10.1007/s00787-015-0708-2
https://doi.org/http://doi.org/10.1007/s...
suffer from this learning disability, characterized by severe and persistent difficulties in mathematical learning that cannot be explained by primary causes such as intellectual deficits, emotional/motivational problems, and/or lack of adequate schooling.1111. American Psychiatry Association. Diagnostic and Statistical Manual of Mental disorders. 5. ed. Arlington, VA: American Psychiatric Association; 2013. Dyscalculia is characterized by difficulties with the most basic aspects of mathematics, such as the ability to understand and discriminate quantities,1313. Halberda J, Mazzocco MM, Feigenson L. Individual differences in non-verbal number acuity correlate with maths achievement. Nat. 2008;455(7213):665-68. https://doi.org/10.1038/nature07246
https://doi.org/https://doi.org/10.1038/...
,1414. Mazzocco MM, Feigenson L, Halberda J. Impaired acuity of the approximate number system underlies mathematical learning disability (Dyscalculia). Child Dev. 2011;82(4):1224-37. https://doi.org/10.1111/j.1467-8624.2011.01608.x
https://doi.org/https://doi.org/10.1111/...
,1515. Piazza M, Facoetti A, Trussardi AN, Berteletti I, Conte S, Lucangeli D, Zorzi M. Developmental trajectory of number acuity reveals a severe impairment in developmental dyscalculia. Cognition. 2010;116(1):33-41. https://doi.org/10.1016/j.cognition.2010.03.012
https://doi.org/https://doi.org/10.1016/...
,1616. Pinheiro-Chagas P, Wood G, Knops A, Krinzinger H, Lonnemann J, Starling-Alves I, et al. In how many ways is the approximate number system associated with exact calculation? PLoS One. 2014;9(11):e111155. https://doi.org/10.1371/journal.pone.0111155
https://doi.org/https://doi.org/10.1371/...
read and write numbers.1717. Landerl K, Bevan A, Butterworth B. Developmental dyscalculia and basic numerical capacities: a study of 8-9-year-old students. Cognition. 2004;93(2):99-125. https://doi.org/10.1016/j.cognition.2003.11.004
https://doi.org/https://doi.org/10.1016/...
,1818. Moura R, Wood G, Pinheiro-Chagas P, Lonnemann J, Krinzinger H, Willmes K, et al. Transcoding abilities in typical and atypical mathematics achievers: The role of working memory and procedural and lexical competencies. J Exp Child Psychol. 2013;116(3):707-27. https://doi.org/10.1016/j.jecp.2013.07.008
https://doi.org/https://doi.org/10.1016/...
Additionally, difficulties with acquiring arithmetic facts knowledge are a cardinal symptom of dyscalculia.1919. Geary DC, Hoard MK, Bailey DH. Fact retrieval deficits in low achieving children and children with mathematical learning disability. J Learn Disabil. 2012;45(4):291-307. https://doi.org/10.1177/0022219410392046
https://doi.org/https://doi.org/10.1177/...
,2020. Jordan NC, Hanich LB, Kaplan D. Arithmetic fact mastery in young children: A longitudinal investigation. J Exp Child Psychol. 2003;85(2):103-19. https://doi.org/10.1016/s0022-0965(03)00032-8
https://doi.org/https://doi.org/10.1016/...

So far, there are no biological or cognitive markers sufficiently reliable to diagnose dyscalculia. Therefore, standardized tests of mathematical achievement are the most popular tool for diagnosing dyscalculia.2121. Hale J, Alfonso V, Berninger V, Bracken B, Christo C, Clark E, et al. Critical issues in response-to-intervention, comprehensive evaluation, and specific learning disabilities identification and intervention: an expert white paper consensus. Learn Disabil Q. 2010;33(3):223-36. https://doi.org/10.1177/073194871003300310
https://doi.org/https://doi.org/10.1177/...
According to the Diagnostic and Statistical Manual of Mental Disorders (DSM-5),1111. American Psychiatry Association. Diagnostic and Statistical Manual of Mental disorders. 5. ed. Arlington, VA: American Psychiatric Association; 2013. dyscalculia can be diagnosed when: (a) performance in standardized tests of mathematical achievement falls below a specific cut-off point (i.e., psychometric criterion), (b) mathematical difficulties compromise the psychosocial adaptation of the individual (i.e., psychosocial impairment criterion), and (c) mathematical difficulties cannot be attributed to other primary causes as mentioned above (i.e., clinical exclusion criterion). Importantly, the clinical exclusion and the psychosocial impairment criteria have the downside of being subjective, and thus may well depend on the clinician’s experience. However, the psychometric criterion is not less problematic.

The psychometric approach has important limitations.2222. Dennis M, Francis D, Cirino PT, Schachar R, Barnes MA, Fletcher JM. Why IQ is not a covariate in cognitive studies of neurodevelopmental disorders. J Int Neuropsych Soc. 2009; 15(3):331-43. https://doi.org/10.1017/S1355617709090481
https://doi.org/https://doi.org/10.1017/...
,2323. Ehlert A, Schroeders U, Fritz-Stratmann A. Kritik am Diskrepanzkriterium in der Diagnostik von Legasthenie und Dyskalkulie. Lernen und Lernstörungen. 2012;1(3):169-84. https://doi.org/10.1024/2235-0977/a000018
https://doi.org/https://doi.org/10.1024/...
,2424. Tannock R. Rethinking ADHD and LD in DSM-5: proposed changes in diagnostic criteria. J Learn Disabil. 2013;46(1):5-25. https://doi.org/10.1177/0022219412464341
https://doi.org/https://doi.org/10.1177/...
So far, different cut-offs in standardized mathematical tests, ranging from the 5th to the 35th percentiles, have been employed across different studies (see2525. Mazzocco MM. Defining and differentiating mathematical learning disabilities and difficulties. In: Berch DB; Mazzocco MM. Baltimore. Why is Math so hard for some children? the nature and origins of mathematical learning difficulties and disabilities. Baltimore: Brookes Publishing Co.; 2007. p. 29-47. for a review). Furthermore, the use of standardized mathematical achievement tests, alone, does not provide information about potentially impaired neurocognitive processes underlying dyscalculia.2626. Bardos AN, Reva KK, Leavitt R. Achievement tests in pediatric neuropsychology. In: Davis AS. Handbook of pediatric neuropsychology. New York: Springer Publishing Company. 2011. p. 235-44. Instead, such tests usually only allow for the classification of a child’s achievement as viewed against a comparison group (e.g., children of the same age or school grade).

Given the overall low mathematics achievement consistently observed among Brazilian children,66. Brazil. Diretoria de Avaliação da Educação Básica. Relatório Brasil no PISA 2018. Brasília, Brazil; 2019 ENT#091;accessed on Jan 3, 2020ENT#093;. Available at: Available at: http://download.inep.gov.br/acoes_internacionais/pisa/documentos/2019/relatorio_PISA_2018_preliminar.pdf .
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using a psychometric approach may lead to false-positive diagnoses of dyscalculia as performance below a specific percentile may not allow to differentiate between atypical and typical poor performance. As such, the main purpose of the present study was to assess the performance of Brazilian primary school children on basic arithmetic operations and evaluate how this information can be used to diagnose dyscalculia in the Brazilian context. Therefore, we assessed performance of 3rd, 4th, and 5th graders on basic arithmetic operations, including addition, subtraction, and multiplication, to evaluate the acquisition of these abilities across grades. With this approach, we aimed at finding out by which grade children achieve proficiency in basic arithmetic operations. In the following, we first present detailed information on the study before reporting and comparing results operations and grades. Finally, we discuss the challenge of diagnosing dyscalculia in Brazil, using the psychometric criterion, considering the present results.

METHODS

Participants

Participants were 706 children with typical general cognitive abilities (above percentile 15 in CPM-Raven)2727. Angelini AL, Alves IC, Custódio EM, Duarte WF, Duarte JL. Matrizes Progressivas Coloridas de Raven-Escala Especial. São Paulo: Centro Editor de Testes e Pesquisas em Psicologia; 1999. attending third to fifth grade (Meanage in years=9.11, ±1.01; 55.5% girls), selected from 13 public schools and one private school in Belo Horizonte, Minas Gerais, the state with the third highest income in Brazil.2828. Instituto Brasileiro de Geografia e Estatística. Produto Interno Bruto 2018. Brasília, Brazil; 2019 ENT#091;accessed on Jan 3, 2020ENT#093;. Available at: Available at: https://www.ibge.gov.br/explica/pib.php .
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All participants gave oral assent prior to testing and provided informed consent signed by their parents or primary caregivers. The study was approved by the local Research Ethics Committee.

Task and procedure

This study was part of a more comprehensive project investigating the development of mathematical abilities of school-age children in Brazil. In this project, children completed a battery of tasks measuring general cognitive abilities (e.g., executive functions), and numerical and mathematical abilities (e.g., nonsymbolic and symbolic magnitude processing and numerical transcoding). For the purpose of this article, we specifically focused on the results of the Basic Arithmetic Operations Task (BAOT), which was assessed individually in a quiet separate room at participants’ school.

The BAOT consisted of 27 addition, 27 subtraction, and 28 multiplication problems. Problems of each operation were presented in fixed order of increasing difficulty on separate sheets of paper. Children were instructed to solve as many problems as possible within a 2-minute time limit per operation. The percentage of correctly solved items (i.e., the number of correctly solved problems divided by the total number of problems in the task) for each operation type was used as the dependent variable (for more information, see2929. Costa AJ, Silva JB, Chagas PP, Krinzinger H, Lonneman J, Willmes K, et al. A hand full of numbers: a role for offloading in arithmetics learning? Front Psychol. 2011;2:1-12. https://doi.org/10.3389/fpsyg.2011.00368
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).

The time limit in BAOT was established based on the performance of 16 college students (Meanage in years =22.93, ±2.56, 62.5% female), who mastered basic operations. Results showed that adults were well able to solve all addition, subtraction, and multiplication problems within 2 minutes (i.e., addition: Meanseconds=59, ±9.83; subtraction: Meanseconds=73, ±13.28; multiplication: Meanseconds=83, ±13.60), with hardly any errors (i.e., percentage of correctly solved items for addition: Meancorrects=0.99, ±0.01; subtraction: Meancorrects=0.97, ±0.05; multiplication: Meancorrects=0.92, ±0.08). Based on these estimates, we expected that children fairly fluent in solving basic arithmetic operations should be able to complete all problems within the 2-minute time limit per operation type.

RESULTS

In our analysis, we evaluated performance of 3rd, 4th and 5th graders in the BAOT operation types. First, we present descriptive analyses for each operation before the results of a mixed-model repeated measure ANOVA aiming to discern the influences of the independent between-participants variable grade level (i.e., 3rd vs. 4th vs. 5th grade) and the within-participants variable operation (i.e., addition vs. subtraction vs. multiplication) on the percentage of correctly solved items.

Addition

In 3rd grade, children were still learning basic addition, such that different scores were observed with similar frequencies in the task. In 4th grade, children started to master addition, with higher scores being observed more frequently than lower scores. Similarly, in 5th grade, higher scores were observed more frequently than lower scores, but children still did not reach perfect accuracy (Figure 1A). Tests of normal distribution (i.e., Kolmogorov-Smirnov, henceforth KS) indicated a non-normal distribution of addition scores for all three grades (KS3rd grade=1.51, p=0.02; KS4th grade=2.08, p<0.001; KS5th grade=2.01, p<0.01). These results suggest that performance on addition problems seemed to improve from 3rd to 5th grade. However, less than 50% of children in 5th grade correctly solved more than 80% of the BAOT addition problems.

Figure 1.
Children’s performance on addition, subtraction, and multiplication operations across grades.

Subtraction

Third graders presented difficulties with subtraction operations, such that the most frequent percentage of correct responses was below 50% (Figure 1B). In 4th grade, a transition (i.e., similar frequencies for different scores) was observed, indicating that children were still learning subtraction. In 5th grade, children started to improve their performance in subtraction, with scores above 50% of correct responses becoming more frequent. However, most children still achieved less than 75% of correct responses. KS tests indicated non-normal distributions of subtraction scores in the 3rd (KS=1.47, p=0.03) and 4th (KS=1.38, p=0.04) grades, but not in the 5th grade (KS=1.12, p=0.16). Thus, similar to addition, results suggested an improvement in subtraction performance from 3rd to 5th grade. However, by 5th grade, less than 20% of students were able to solve all items correctly, even though these only involved minuends up to 20.

Multiplication

A floor effect was observed in 3rd grade for multiplication, with most children not being able to solve any of the problems correctly (Figure 1C). In 4th and 5th grades, children started to learn multiplication operations, such that different scores were observed with similar frequencies in the task, suggesting only limited improvement between these grades. KS tests revealed a non-normal distribution of multiplication scores for 3rd (KS=3.64, p<0.001) and 4th (KS=1.62, p<0.01) graders and a distribution closer to normal for 5th graders (KS=1.12, p=0.16). These results suggest that, despite some improvement in multiplication skills from 3rd to 5th grade, 5th graders still do not master multiplication tables for single-digit numbers, with less than 20% of children with a maximum score in multiplication (Figure 1).

We considered the interval of 80 to 100% of correct responses as a criterion for fluency on BAOT operations. Then, we evaluated the percentage of children who met this criterion. Although this criterion was chosen more or less arbitrarily, we expected adults (i.e., as described above in the method section) and 5th graders to be able to fluently solve the BAOT operations based on the results of previous studies (cf.3030. Jordan NC, Montani TO. Cognitive arithmetic and problem solving: a comparison of children with specific and general mathematics difficulties. J Learn Disabil. 1997;30(6):624-34. https://doi.org/10.1177/002221949703000606
https://doi.org/https://doi.org/10.1177/...
,3131. Barrouillet P, Bernardin S, Portrat S, Vergauwe E, Camos V. Time and cognitive load in working memory. J Exp Psychol Learn Mem Cogn. 2007;33(3):570-85. https://doi.org/10.1037/0278-7393.33.3.570
https://doi.org/https://doi.org/10.1037/...
,3232. Thevenot C, Castel C, Fanget M, Fayol M. Mental subtraction in high- and lower skilled arithmetic problem solvers: Verbal report versus operand-recognition paradigms. J Exp Psychol Learn Mem Cogn. 2010;36(5):1242-55. https://doi.org/10.1037/a0020447
https://doi.org/https://doi.org/10.1037/...
,3333. Butterworth B, Marschesini N, Girelli L. Basic multiplication combinations: passive storage or dynamic reorganization? In: Baroody AJ. Dowker A. The development of arithmetic concepts and skills. London: Routledge; 2013. p. 209-24. https://doi.org/10.4324/9781410607218-11
https://doi.org/https://doi.org/10.4324/...
). By choosing the interval of 80 to 100%, we do, however, leave room for occasional careless mistakes, or situational or motivational digressions.

The majority of 3rd graders (85.4%) did not master single-digit addition operations. This percentage drops considerably by 5th grade, in which only 34% of children had not yet mastered basic addition operations. A smaller improvement was observed for 5th graders with respect to subtraction and multiplication, in comparison to addition. For subtraction operations, 95.4% of 3rd graders failed to meet our criterion, dropping to 78.5% in 5th grade. For multiplication, 99.2% of 3rd graders failed to meet the criterion, dropping to 80.6% in 5th grade (Table 1).

Table 1.
Percentage of children scoring above 80% of correct responses on addition, subtraction, and multiplication operations at each grade.

Finally, the mixed-model ANOVA indicated a significant main effect of grade, F(2, 703)=154.4, p<0.001, ⴄp 2=0.17, with performance improving across grades. Pairwise comparisons indicated that 5th graders’ scores were higher than those of 4th and 3rd graders, and 4th graders’ scores were higher than those of 3rd graders. There also was a significant main effect of operation, F(2, 1321)=1085.34, p<0.001, ⴄp 2=0.26. Pairwise comparisons indicated that addition operations were solved better than subtraction and multiplication operations and that subtraction operations were solved better than multiplication operations. Means and standard deviations are shown in Figure 2.

Figure 2.
Mean percentage of correct responses for grades and operations. Error bars indicate standard erros.

The interaction of grades and operation types was also significant, F(4, 1321)=20.36, p<0.01, ⴄp 2=0.01. To evaluate where this interaction of two three-levelled factors originated from, we followed the procedure suggested by Kirk,3434. Kirk RE. Experimental design: procedures for the behavioral sciences. 4. ed. Thousand Oaks: Sage; 2013. https://dx.doi.org/10.4135/9781483384733
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evaluating influences of grade level (i.e., 3rd vs. 4th vs. 5th grade) on differences between arithmetic operations using univariate ANOVAs. The first ANOVA indicated that performance differences between addition and subtraction was not significantly influenced by grade, F(2, 703)=1.07, p=0.34, ⴄp 2=0.01. Importantly, results were different for performance differences between addition and multiplication, F(2, 703)=23.07, p<0.001, ⴄp 2=0.06, as well as subtraction and multiplication, F(2, 703)=31.61, p<0.001, ⴄp 2=0.08, for which the ANOVAs indicated significant effects of grade. Pairwise comparisons indicated that, for both addition and subtraction, differences with multiplication decreased as grade increased, with all pairwise comparisons being significant (p<0.05). In summary, this means that the significant interaction between grade and arithmetic operation reflects a decrease in performance differences between addition and multiplication, as well as between subtraction and multiplication, as grade increases whereas differences between performance in addition and subtraction did not change significantly across grades (Figure 2).

DISCUSSION

In this study, we evaluated the performance of Brazilian children on basic arithmetic operations. Moreover, considering evidence showing that Brazilian students perform poorly in mathematics more generally, we aimed at evaluating the feasibility of diagnosing dyscalculia using the psychometric criterion. Our results indicated that a considerable percentage of primary school children did not master basic arithmetic operations by the end of fifth grade - even in a rather wealthy Brazilian region.2828. Instituto Brasileiro de Geografia e Estatística. Produto Interno Bruto 2018. Brasília, Brazil; 2019 ENT#091;accessed on Jan 3, 2020ENT#093;. Available at: Available at: https://www.ibge.gov.br/explica/pib.php .
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As such, our findings are in line with the performance of Brazilian students on PISA, which repeatedly revealed average mathematical achievement to be below basic proficiency levels. However, rather than assessing specific mathematical abilities taught in school, the abilities measured by PISA are more generic and related to the use of mathematics in everyday life.3535. Roegiers X. A Conceptual Framework for Competencies Assessment. In-Progress Reflection No. 4 on Current and Critical Issues in the Curriculum and Learning; 2016 ENT#091;accessed on Jan 6, 2020ENT#093;. Available at: Available at: http://www.ibe.unesco.org/sites/default/files/resources/ipr4-roegiers-competenciesassessment_eng.pdf .
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Given that our participants were not able to solve basic arithmetic operations flawlessly, it may be the case that applying this kind of arithmetic knowledge to everyday situations, such as required by PISA, is challenging for Brazilian students.

The difficulties observed with the basic arithmetic operations in the present sample also have implications for the diagnosis of dyscalculia using a psychometric criterion. When the psychometric criterion is used, a more conservative percentile cut-off (e.g., ≤percentile 10) might allow the identification of children with severe and persistent mathematical difficulties.2525. Mazzocco MM. Defining and differentiating mathematical learning disabilities and difficulties. In: Berch DB; Mazzocco MM. Baltimore. Why is Math so hard for some children? the nature and origins of mathematical learning difficulties and disabilities. Baltimore: Brookes Publishing Co.; 2007. p. 29-47. On the other hand, a more liberal criterion (e.g., ≤percentile 25) increases the chances of identifying children with less severe and persistent difficulties that are more likely associated with other causes.2525. Mazzocco MM. Defining and differentiating mathematical learning disabilities and difficulties. In: Berch DB; Mazzocco MM. Baltimore. Why is Math so hard for some children? the nature and origins of mathematical learning difficulties and disabilities. Baltimore: Brookes Publishing Co.; 2007. p. 29-47.

In the Brazilian context, with most children performing poorly on basic arithmetic operations, the psychometric criterion might become inappropriate for the diagnosis of dyscalculia. In these circumstances, the psychometric criterion can lead to both false-negative and false-positive diagnoses. False-negatives occur when children who have inherent difficulties are not distinguished from those classified as typical achievers. In contrast, false-positive occur when children whose difficulties are caused by factors such as poor education are diagnosed as having dyscalculia. Reducing both false-negatives and false-positives is important for providing services for children with more severe and persistent mathematical difficulties. Furthermore, under budget constraints, children formally diagnosed with developmental disorders are prioritized to participate in intervention programs.3636. Brazil, Lei nº 13.438, de 26 de abril de 2017. Dispõe sobre a alteração da Lei nº 8.069, tornando obrigatória a adoção pelo sistema único de saúde (SUS) de protocolo que estabeleça padrões para a avaliação de risco para desenvolvimento psíquico das crianças. Brasília, Brazil: Diário Oficial da República Federativa do Brasil; 2017 ENT#091;accessed on Mar 16, 2020ENT#093;. Available at: Available at: https://www2.camara.leg.br/legin/fed/lei/2017/lei-13438-26-abril-2017-784640-norma-pl.html
https://www2.camara.leg.br/legin/fed/lei...

An alternative approach to the diagnosis of dyscalculia, increasingly adopted worldwide, is to base decisions not only on test scores but also consider children’s response to intervention (RTI).44. Haase VG, Krinzinger H. Adding all up: Mathematical Learning Difficulties Around the World. In: Fritz A, Haase VG, Rasanen P. International Handbook of Mathematical Learning Difficulties. Cham: Springer ; 2019. p. 311-25. https://doi.org/10.1007/978-3-319-97148-3_20
https://doi.org/https://doi.org/10.1007/...
The RTI approach aims at identifying children at risk for mathematical learning difficulties as early as Kindergarten, to provide them with additional mathematical instruction in successive tiers of increasing intensity. This approach is both preventive and therapeutic. In this context, the diagnosis of dyscalculia is restricted to those children who do not respond to even the best and most intensive pedagogical efforts. RTI has the advantage of constraining the problem of learning difficulties to the school. However, its logistics are complex, expensive, and require personnel training and compliance from both teachers and children. Additionally, RTI has the drawback of potentially delaying recognition of serious health conditions possibly underlying mathematics learning difficulties (e.g., genetic syndromes), as children are usually referred to specialized services for their learning difficulties.

The low performance of our participants on basic arithmetic operations may be a result of external factors, such as socioeconomic status (SES)3737. Sung KW, Hyunsun C, Louis KY. Socioeconomic status and academic outcomes in developing countries: a meta-analysis. Rev Educ Res. 2019;89(6):875-916. https://doi.org/10.3102/0034654319877155
https://doi.org/https://doi.org/10.3102/...
,3838. Harwell M, Maeda Y, Bishop K, Xie A. The surprisingly modest relationship between SES and educational achievement. J Exp Educ. 2017;85(2):197-214. https://doi.org/10.1080/00220973.2015.1123668
https://doi.org/https://doi.org/10.1080/...
and educational experiences.3939. Räsänen P, Daland E, Dalvang T, Engström A, Korhonen J, Kristinsdóttir JV, et al. Mathematical learning and its difficulties: the case of Nordic countries. In: Fritz A, Haase VG, Rasanen P. International Handbook of Mathematical Learning Difficulties. Cham: Springer ; 2019. p. 107-25. https://doi.org/10.1007/978-3-319-97148-3_8
https://doi.org/https://doi.org/10.1007/...
However, specific evaluation of these was beyond the scope of this study. Nevertheless, SES was found to have a significant influence on a Brazilian national measure of mathematics achievement4040. Brazil. Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira - INEP. Relatório SAEB 2017. Brasília, Brazil: INEP; 2019 ENT#091;accessed on Mar 29, 2020ENT#093; Available at: Available at: http://portal.inep.gov.br/informacao-da-publicacao/-/asset_publisher/6JYIsGMAMkW1/document/id/6725783
http://portal.inep.gov.br/informacao-da-...
such that children with a better SES background outperformed those with lower SES. In line with this, we also observed a significant, but small, correlation of children's performance in addition (r=0.10, p<0.01) and multiplication (r=0.09, p<0.05) with SES in our sample. This corroborates the interpretation that poor performance observed for basic arithmetic operations in the present study may not only indicate MLD but also reflect influences of external educational factors. In this sense, effects of SES are also reflected in performance gaps observed between public and private schools, with private schools achieving scores higher than public schools and higher than the national average.4141. Brazil. Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira - INEP. Relatório SAEB (ANEB e ANRESC) 2005-2015: panorama da década. Brasília, Brazil: INEP ; 2018 ENT#091;accessed on Mar 6, 2020ENT#093;. Available at: Available at: http://portal.inep.gov.br/informacao-da-publicacao/-/asset_publisher/6JYIsGMAMkW1/document/id/1473828
http://portal.inep.gov.br/informacao-da-...
,4242. Moraes AG, Belluzzo W. O diferencial de desempenho escolar entre escolas públicas e privadas no Brasil. Nov Econ. 2014;24(2):409-30. https://doi.org/10.1590/0103-6351/1564
https://doi.org/https://doi.org/10.1590/...
Importantly, however, it should be noted that in addition to SES the gap between public and private schools may also be a result of different educational practices and school quality. Even though the use of a core curriculum is highly encouraged in Brazil,4343. Brazil. Ministério da Educação. Base Nacional Comum Curricular: Educação é a Base. Brasília, Brazil: Ministério da Educação; 2017 ENT#091;accessed on Mar 6, 2020ENT#093;. Available at: Available at: http://basenacionalcomum.mec.gov.br/images/BNCC_EI_EF_110518_versaofinal_site.pdf
http://basenacionalcomum.mec.gov.br/imag...
private schools usually push students harder and provide them with better educational and emotional support.

Educational experiences may also influence the performance in arithmetic operations. The Brazilian Ministry of Education (Ministério da Educação ENT#091;MECENT#093;) recently suggested a core curriculum, the National Common Core (Base Nacional Comum Curricular ENT#091;BNCCENT#093;), aiming to unify pedagogical principles and goals across the country.4343. Brazil. Ministério da Educação. Base Nacional Comum Curricular: Educação é a Base. Brasília, Brazil: Ministério da Educação; 2017 ENT#091;accessed on Mar 6, 2020ENT#093;. Available at: Available at: http://basenacionalcomum.mec.gov.br/images/BNCC_EI_EF_110518_versaofinal_site.pdf
http://basenacionalcomum.mec.gov.br/imag...
According to the BNCC, basic arithmetic operations are gradually introduced with increasing grade level, starting with addition in 1st grade, subtraction in 2nd grade, and multiplication in 3rd grade. Formal strategies and procedures are recommended to be explicitly and systematically taught from 3rd grade. It is expected that 4th graders should be able to fluently implement formal algorithms in addition and subtraction. Conceptual aspects of arithmetic operations are explicitly and systematically taught only in 4th grade. Remarkably, BNCC emphasizes the learning of conceptual and procedural arithmetic knowledge, whereas less effort is dedicated to promoting automatization of arithmetic facts. Despite the importance of conceptual and procedural knowledge, direct retrieval-based solutions were argued to be more efficient than calculation.4444. Menon V. Developmental cognitive neuroscience of arithmetic: implications for learning and education. ZDM. 2010;42(6):515-25. https://doi.org/10.1007/s11858-010-0242-0
https://doi.org/https://doi.org/10.1007/...
Moreover, poor automatization of basic arithmetic operations has also been associated with difficulty in acquiring more complex mathematical abilities.4545. Cumming J, Elkins J. Lack of automaticity in the basic addition facts as a characteristic of arithmetic learning problems and instructional needs. Mathematical Cognition. 1999;5:149-80. https://doi.org/10.1080/135467999387289
https://doi.org/https://doi.org/10.1080/...
,4646. Lehtinen E, Hannula-Sormunen M, McMullen J, Gruber H. Cultivating mathematical skills: From drill-and-practice to deliberate practice. ZDM. 2017;49(4),625-36. https://doi.org/10.1007/s11858-017-0856-6
https://doi.org/https://doi.org/10.1007/...
This evidence highlights the importance of pedagogical practices, such as repetitive exercises with feedback and cumulative review, that promote automatization of arithmetic operations.4747. Fuchs LS; Fuchs D, Powell SR, Seethaler PM, Cirino PT, Fletcher JM. Intensive intervention for students with mathematics disabilities: seven principles of effective practice. Learn Disabil Q. 2008;31:79-92. https://doi.org/10.2307/20528819
https://doi.org/https://doi.org/10.2307/...
As we used a speeded assessment, our results may be interpreted as reflecting difficulties with fluency or automatization, probably due to the lower emphasis on this in the Brazilian curriculum.

In this study, we evaluated the performance of Brazilian children on the basic arithmetic operations of addition, subtraction, and multiplication. Overall, most children presented difficulties in all arithmetic operations assessed. Children presented better scores in addition, compared to subtraction and multiplication, and 3rd and 4th graders were outperformed by 5th graders in all three operations. However, 5th graders still have not mastered these basic arithmetic operations fluently, with less than 50% of 5th graders performing at 80% or above on addition, subtraction, or multiplication. This alarming scenario discourages the sole use of a psychometric criterion to diagnose dyscalculia. When the majority of children are performing poorly on a task, it is hard to differentiate those with dyscalculia from those whose poor performance is due to external factors, such as inadequate schooling. We question the use of the psychometric criterion as the only index of a developmental disability. Instead, RTI approaches might be better suited to the Brazilian context. In addition to contributing to clinical practice, these results might also inform educators and policy makers.

ACKNOWLEDGEMENTS

This research was funded by DAAD and CAPES in the scheme PPP Joint Research (PROBRAL) granted to KM and VGH (88887.143931/2017-00). This research was also supported by grants from the Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG, APQ-02755-SHA, APQ-03289-10, APQ-02953-14, APQ-03642-12). Part of this research was supported by DFG funding (MO 2525/7-1) granted to KM supporting JB. MRAG is supported by CAPES (88882.381504/2019-01). ISA is supported by CAPES (Doc-Pleno, 88881.128282/2016-01). VGH is supported by the CNPq excellence in research fellowship (308157/2011-7, 308267/2014-1). MRSC was awarded a fellowship from the Brazilian National Research Council (Conselho Nacional de Pesquisa (CNPq), grant number 312068/2015-8) and is also supported by grants from the FAPEMIG (APQ-01093-15, APQ-02003-15, APQ-01377-17).

REFERENCES

  • 1
    Beddington J, Cooper C, Field J, Goswami U, Huppert F, Jenkins R, et al. The mental wealth of nations. Nature. 2008;455(7216):1057-60. https://doi.org/10.1038/4551057a
    » https://doi.org/https://doi.org/10.1038/4551057a
  • 2
    Haase VG, Fritz A, Räsänen P. Editorial: Research on numerical cognition in Latin American countries. J Psychol. 2020;41(2):217-44. https://doi.org/10.1080/02109395.2020.1748843
    » https://doi.org/https://doi.org/10.1080/02109395.2020.1748843
  • 3
    Kotzé J, van der Berg S. Mathematical Performance among the Poor: Comparative Performance across Developing Countries. In: Fritz A, Haase VG, Rasanen P. International Handbook of Mathematical Learning Difficulties. Cham: Springer; 2019. p. 57-71. https://doi.org/10.1007/978-3-319-97148-3_5
    » https://doi.org/https://doi.org/10.1007/978-3-319-97148-3_5
  • 4
    Haase VG, Krinzinger H. Adding all up: Mathematical Learning Difficulties Around the World. In: Fritz A, Haase VG, Rasanen P. International Handbook of Mathematical Learning Difficulties. Cham: Springer ; 2019. p. 311-25. https://doi.org/10.1007/978-3-319-97148-3_20
    » https://doi.org/https://doi.org/10.1007/978-3-319-97148-3_20
  • 5
    Dorneles BV. Mathematical Learning and Its Difficulties in Latin-American Countries. In: Fritz A, Haase VG, Rasanen P. International Handbook of Mathematical Learning Difficulties. Cham: Springer ; 2019. p. 201-12. https://doi.org/10.1007/978-3-319-97148-3_13
    » https://doi.org/https://doi.org/10.1007/978-3-319-97148-3_13
  • 6
    Brazil. Diretoria de Avaliação da Educação Básica. Relatório Brasil no PISA 2018. Brasília, Brazil; 2019 ENT#091;accessed on Jan 3, 2020ENT#093;. Available at: Available at: http://download.inep.gov.br/acoes_internacionais/pisa/documentos/2019/relatorio_PISA_2018_preliminar.pdf
    » http://download.inep.gov.br/acoes_internacionais/pisa/documentos/2019/relatorio_PISA_2018_preliminar.pdf
  • 7
    Schleicher A. PISA 2018: Insights and Interpretations. Organisation for Economic Co-operation and Development; 2019. OECD - Education Library. ENT#091;accessed on Feb 4, 2020ENT#093; Available at: Available at: https://www.oecd.org/pisa/PISA%202018%20Insights%20and%20Interpretations%20FINAL%20PDF.pdf
    » https://www.oecd.org/pisa/PISA%202018%20Insights%20and%20Interpretations%20FINAL%20PDF.pdf
  • 8
    Geary DC, Hoard MK. Learning disabilities in arithmetic and mathematics: Theoretical and empirical perspectives. In: Campbell JI. Handbook of mathematical cognition. New York: Psychology Press; 2005. p. 253-67. https://doi.org/10.4324/9780203998045-24
    » https://doi.org/https://doi.org/10.4324/9780203998045-24
  • 9
    Common Core State Standards Initiative. Common Core State Standards for mathematics. 2010. ENT#091;accessed on Feb 4, 2020ENT#093;. Available at: Available at: http://www.corestandards.org/assets/CCSSI_Math%20Standards.pdf
    » http://www.corestandards.org/assets/CCSSI_Math%20Standards.pdf
  • 10
    Fuson KC. Children’s Counting and Concepts of Number. New York-Berlin-Heidelberg-London-Paris-Tokyo: Springer-Verlag: Springer; 1988. (Springer Series in Cognitive Development).
  • 11
    American Psychiatry Association. Diagnostic and Statistical Manual of Mental disorders. 5. ed. Arlington, VA: American Psychiatric Association; 2013.
  • 12
    Fortes IS, Paula CS, Oliveira MC, Bordin IA, de Jesus MJ, Rohde LA. A cross-sectional study to assess the prevalence of DSM-5 specific learning disorders in representative school samples from the second to sixth grade in Brazil. Eur Child Adol Psych. 2015;25(2):195-207. http://doi.org/10.1007/s00787-015-0708-2
    » https://doi.org/http://doi.org/10.1007/s00787-015-0708-2
  • 13
    Halberda J, Mazzocco MM, Feigenson L. Individual differences in non-verbal number acuity correlate with maths achievement. Nat. 2008;455(7213):665-68. https://doi.org/10.1038/nature07246
    » https://doi.org/https://doi.org/10.1038/nature07246
  • 14
    Mazzocco MM, Feigenson L, Halberda J. Impaired acuity of the approximate number system underlies mathematical learning disability (Dyscalculia). Child Dev. 2011;82(4):1224-37. https://doi.org/10.1111/j.1467-8624.2011.01608.x
    » https://doi.org/https://doi.org/10.1111/j.1467-8624.2011.01608.x
  • 15
    Piazza M, Facoetti A, Trussardi AN, Berteletti I, Conte S, Lucangeli D, Zorzi M. Developmental trajectory of number acuity reveals a severe impairment in developmental dyscalculia. Cognition. 2010;116(1):33-41. https://doi.org/10.1016/j.cognition.2010.03.012
    » https://doi.org/https://doi.org/10.1016/j.cognition.2010.03.012
  • 16
    Pinheiro-Chagas P, Wood G, Knops A, Krinzinger H, Lonnemann J, Starling-Alves I, et al. In how many ways is the approximate number system associated with exact calculation? PLoS One. 2014;9(11):e111155. https://doi.org/10.1371/journal.pone.0111155
    » https://doi.org/https://doi.org/10.1371/journal.pone.0111155
  • 17
    Landerl K, Bevan A, Butterworth B. Developmental dyscalculia and basic numerical capacities: a study of 8-9-year-old students. Cognition. 2004;93(2):99-125. https://doi.org/10.1016/j.cognition.2003.11.004
    » https://doi.org/https://doi.org/10.1016/j.cognition.2003.11.004
  • 18
    Moura R, Wood G, Pinheiro-Chagas P, Lonnemann J, Krinzinger H, Willmes K, et al. Transcoding abilities in typical and atypical mathematics achievers: The role of working memory and procedural and lexical competencies. J Exp Child Psychol. 2013;116(3):707-27. https://doi.org/10.1016/j.jecp.2013.07.008
    » https://doi.org/https://doi.org/10.1016/j.jecp.2013.07.008
  • 19
    Geary DC, Hoard MK, Bailey DH. Fact retrieval deficits in low achieving children and children with mathematical learning disability. J Learn Disabil. 2012;45(4):291-307. https://doi.org/10.1177/0022219410392046
    » https://doi.org/https://doi.org/10.1177/0022219410392046
  • 20
    Jordan NC, Hanich LB, Kaplan D. Arithmetic fact mastery in young children: A longitudinal investigation. J Exp Child Psychol. 2003;85(2):103-19. https://doi.org/10.1016/s0022-0965(03)00032-8
    » https://doi.org/https://doi.org/10.1016/s0022-0965(03)00032-8
  • 21
    Hale J, Alfonso V, Berninger V, Bracken B, Christo C, Clark E, et al. Critical issues in response-to-intervention, comprehensive evaluation, and specific learning disabilities identification and intervention: an expert white paper consensus. Learn Disabil Q. 2010;33(3):223-36. https://doi.org/10.1177/073194871003300310
    » https://doi.org/https://doi.org/10.1177/073194871003300310
  • 22
    Dennis M, Francis D, Cirino PT, Schachar R, Barnes MA, Fletcher JM. Why IQ is not a covariate in cognitive studies of neurodevelopmental disorders. J Int Neuropsych Soc. 2009; 15(3):331-43. https://doi.org/10.1017/S1355617709090481
    » https://doi.org/https://doi.org/10.1017/S1355617709090481
  • 23
    Ehlert A, Schroeders U, Fritz-Stratmann A. Kritik am Diskrepanzkriterium in der Diagnostik von Legasthenie und Dyskalkulie. Lernen und Lernstörungen. 2012;1(3):169-84. https://doi.org/10.1024/2235-0977/a000018
    » https://doi.org/https://doi.org/10.1024/2235-0977/a000018
  • 24
    Tannock R. Rethinking ADHD and LD in DSM-5: proposed changes in diagnostic criteria. J Learn Disabil. 2013;46(1):5-25. https://doi.org/10.1177/0022219412464341
    » https://doi.org/https://doi.org/10.1177/0022219412464341
  • 25
    Mazzocco MM. Defining and differentiating mathematical learning disabilities and difficulties. In: Berch DB; Mazzocco MM. Baltimore. Why is Math so hard for some children? the nature and origins of mathematical learning difficulties and disabilities. Baltimore: Brookes Publishing Co.; 2007. p. 29-47.
  • 26
    Bardos AN, Reva KK, Leavitt R. Achievement tests in pediatric neuropsychology. In: Davis AS. Handbook of pediatric neuropsychology. New York: Springer Publishing Company. 2011. p. 235-44.
  • 27
    Angelini AL, Alves IC, Custódio EM, Duarte WF, Duarte JL. Matrizes Progressivas Coloridas de Raven-Escala Especial. São Paulo: Centro Editor de Testes e Pesquisas em Psicologia; 1999.
  • 28
    Instituto Brasileiro de Geografia e Estatística. Produto Interno Bruto 2018. Brasília, Brazil; 2019 ENT#091;accessed on Jan 3, 2020ENT#093;. Available at: Available at: https://www.ibge.gov.br/explica/pib.php
    » https://www.ibge.gov.br/explica/pib.php
  • 29
    Costa AJ, Silva JB, Chagas PP, Krinzinger H, Lonneman J, Willmes K, et al. A hand full of numbers: a role for offloading in arithmetics learning? Front Psychol. 2011;2:1-12. https://doi.org/10.3389/fpsyg.2011.00368
    » https://doi.org/https://doi.org/10.3389/fpsyg.2011.00368
  • 30
    Jordan NC, Montani TO. Cognitive arithmetic and problem solving: a comparison of children with specific and general mathematics difficulties. J Learn Disabil. 1997;30(6):624-34. https://doi.org/10.1177/002221949703000606
    » https://doi.org/https://doi.org/10.1177/002221949703000606
  • 31
    Barrouillet P, Bernardin S, Portrat S, Vergauwe E, Camos V. Time and cognitive load in working memory. J Exp Psychol Learn Mem Cogn. 2007;33(3):570-85. https://doi.org/10.1037/0278-7393.33.3.570
    » https://doi.org/https://doi.org/10.1037/0278-7393.33.3.570
  • 32
    Thevenot C, Castel C, Fanget M, Fayol M. Mental subtraction in high- and lower skilled arithmetic problem solvers: Verbal report versus operand-recognition paradigms. J Exp Psychol Learn Mem Cogn. 2010;36(5):1242-55. https://doi.org/10.1037/a0020447
    » https://doi.org/https://doi.org/10.1037/a0020447
  • 33
    Butterworth B, Marschesini N, Girelli L. Basic multiplication combinations: passive storage or dynamic reorganization? In: Baroody AJ. Dowker A. The development of arithmetic concepts and skills. London: Routledge; 2013. p. 209-24. https://doi.org/10.4324/9781410607218-11
    » https://doi.org/https://doi.org/10.4324/9781410607218-11
  • 34
    Kirk RE. Experimental design: procedures for the behavioral sciences. 4. ed. Thousand Oaks: Sage; 2013. https://dx.doi.org/10.4135/9781483384733
    » https://doi.org/https://dx.doi.org/10.4135/9781483384733
  • 35
    Roegiers X. A Conceptual Framework for Competencies Assessment. In-Progress Reflection No. 4 on Current and Critical Issues in the Curriculum and Learning; 2016 ENT#091;accessed on Jan 6, 2020ENT#093;. Available at: Available at: http://www.ibe.unesco.org/sites/default/files/resources/ipr4-roegiers-competenciesassessment_eng.pdf
    » http://www.ibe.unesco.org/sites/default/files/resources/ipr4-roegiers-competenciesassessment_eng.pdf
  • 36
    Brazil, Lei nº 13.438, de 26 de abril de 2017. Dispõe sobre a alteração da Lei nº 8.069, tornando obrigatória a adoção pelo sistema único de saúde (SUS) de protocolo que estabeleça padrões para a avaliação de risco para desenvolvimento psíquico das crianças. Brasília, Brazil: Diário Oficial da República Federativa do Brasil; 2017 ENT#091;accessed on Mar 16, 2020ENT#093;. Available at: Available at: https://www2.camara.leg.br/legin/fed/lei/2017/lei-13438-26-abril-2017-784640-norma-pl.html
    » https://www2.camara.leg.br/legin/fed/lei/2017/lei-13438-26-abril-2017-784640-norma-pl.html
  • 37
    Sung KW, Hyunsun C, Louis KY. Socioeconomic status and academic outcomes in developing countries: a meta-analysis. Rev Educ Res. 2019;89(6):875-916. https://doi.org/10.3102/0034654319877155
    » https://doi.org/https://doi.org/10.3102/0034654319877155
  • 38
    Harwell M, Maeda Y, Bishop K, Xie A. The surprisingly modest relationship between SES and educational achievement. J Exp Educ. 2017;85(2):197-214. https://doi.org/10.1080/00220973.2015.1123668
    » https://doi.org/https://doi.org/10.1080/00220973.2015.1123668
  • 39
    Räsänen P, Daland E, Dalvang T, Engström A, Korhonen J, Kristinsdóttir JV, et al. Mathematical learning and its difficulties: the case of Nordic countries. In: Fritz A, Haase VG, Rasanen P. International Handbook of Mathematical Learning Difficulties. Cham: Springer ; 2019. p. 107-25. https://doi.org/10.1007/978-3-319-97148-3_8
    » https://doi.org/https://doi.org/10.1007/978-3-319-97148-3_8
  • 40
    Brazil. Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira - INEP. Relatório SAEB 2017. Brasília, Brazil: INEP; 2019 ENT#091;accessed on Mar 29, 2020ENT#093; Available at: Available at: http://portal.inep.gov.br/informacao-da-publicacao/-/asset_publisher/6JYIsGMAMkW1/document/id/6725783
    » http://portal.inep.gov.br/informacao-da-publicacao/-/asset_publisher/6JYIsGMAMkW1/document/id/6725783
  • 41
    Brazil. Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira - INEP. Relatório SAEB (ANEB e ANRESC) 2005-2015: panorama da década. Brasília, Brazil: INEP ; 2018 ENT#091;accessed on Mar 6, 2020ENT#093;. Available at: Available at: http://portal.inep.gov.br/informacao-da-publicacao/-/asset_publisher/6JYIsGMAMkW1/document/id/1473828
    » http://portal.inep.gov.br/informacao-da-publicacao/-/asset_publisher/6JYIsGMAMkW1/document/id/1473828
  • 42
    Moraes AG, Belluzzo W. O diferencial de desempenho escolar entre escolas públicas e privadas no Brasil. Nov Econ. 2014;24(2):409-30. https://doi.org/10.1590/0103-6351/1564
    » https://doi.org/https://doi.org/10.1590/0103-6351/1564
  • 43
    Brazil. Ministério da Educação. Base Nacional Comum Curricular: Educação é a Base. Brasília, Brazil: Ministério da Educação; 2017 ENT#091;accessed on Mar 6, 2020ENT#093;. Available at: Available at: http://basenacionalcomum.mec.gov.br/images/BNCC_EI_EF_110518_versaofinal_site.pdf
    » http://basenacionalcomum.mec.gov.br/images/BNCC_EI_EF_110518_versaofinal_site.pdf
  • 44
    Menon V. Developmental cognitive neuroscience of arithmetic: implications for learning and education. ZDM. 2010;42(6):515-25. https://doi.org/10.1007/s11858-010-0242-0
    » https://doi.org/https://doi.org/10.1007/s11858-010-0242-0
  • 45
    Cumming J, Elkins J. Lack of automaticity in the basic addition facts as a characteristic of arithmetic learning problems and instructional needs. Mathematical Cognition. 1999;5:149-80. https://doi.org/10.1080/135467999387289
    » https://doi.org/https://doi.org/10.1080/135467999387289
  • 46
    Lehtinen E, Hannula-Sormunen M, McMullen J, Gruber H. Cultivating mathematical skills: From drill-and-practice to deliberate practice. ZDM. 2017;49(4),625-36. https://doi.org/10.1007/s11858-017-0856-6
    » https://doi.org/https://doi.org/10.1007/s11858-017-0856-6
  • 47
    Fuchs LS; Fuchs D, Powell SR, Seethaler PM, Cirino PT, Fletcher JM. Intensive intervention for students with mathematics disabilities: seven principles of effective practice. Learn Disabil Q. 2008;31:79-92. https://doi.org/10.2307/20528819
    » https://doi.org/https://doi.org/10.2307/20528819
  • 1
    This study was conducted at the Universidade Federal de Minas Gerais, Department of Psychology, Belo Horizonte, MG, Brazil.
  • Funding: DAAD and CAPES in the scheme PPP Joint Research (PROBRAL) (88887.143931/2017-00). FAPEMIG (APQ-02755-SHA, APQ-03289-10, APQ-02953-14, APQ-03642-12). DFG funding (MO 2525/7-1). CAPES (88882.381504/2019-01). CAPES (Doc-Pleno, 88881.128282/2016-01). CNPq (308157/2011-7, 308267/2014-1). CNPq (312068/2015-8) and FAPEMIG (APQ-01093-15, APQ-02003-15, APQ-01377-17).

Publication Dates

  • Publication in this collection
    02 July 2021
  • Date of issue
    Apr-Jun 2021

History

  • Received
    07 Oct 2020
  • Accepted
    01 Feb 2021
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