COGNITIVE SKILLS AND MATHEMATICAL PERFORMANCE, MEMORY (SHORT-TERM, LONG-TERM, WORKING), MENTAL PERFORMANCE AND THEIR RELATIONSHIP WITH THE MATHEMATICAL PERFORMANCE OF PRE-SCHOOL STUDENTS
Abstract
The purpose of this research is to examine the effect of cognitive capabilities and flowing intelligence on mathematical proficiency of pre-school students, shortly before attending elementary school. Eighty kindergarten students participated in the survey. Student performance was assessed in terms of short term memory (auditory and verbal short-term memory, visual short-term, semantic and non-semantic memory), working auditory and visual memory, visual long-term memory, fluid intelligence and math performance. Based on the results, there was a strong positive correlation (,777) between verbal working memory and mathematical performance. Moderate positive correlation between mathematical performance and short-term memory, visual spatial working memory, visual long-term memory and fluid intelligence was also found.
To identify which factors have predictive value for mathematical competence, regression analysis was used. It has been found that verbal working memory is an important factor in explaining mathematical competence. Combined with long-term visual spatial working memory, they can more accurately predict the level of mathematical performance. The results show that verbal working memory is the best predictor of mathematical performance. Visual long-term memory follows, and finally visual spatial working memory seems to have the lowest impact on a student’s mathematical performance.
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Adams J. W., Hitch G. J., 1997. Working memory and children’s mental addition. Journal of Experimental Child Psychology, 67(1), 21–38.
Andersson U., Lyxell B., 2007. Working memory deficit in children with mathematical difficulties: A general or specific deficit? Journal of Experimental Child Psychology, 96(3), 197−228.
Alloway T.P., 2009. Working Memory, but Not IQ, Predicts Subsequent Learning in Children with Learning Difficulties, European Journal of Psychological Assessment, 25 (2),92-98.
Ashcraft M.H., 1995. Cognitive psychology and simple arithmetic: A review and summary of new directions. Mathematical Cognition, 1(1), 3–34.
Bachol J. Gevers W, Fias W., Roeyers H, 2005. Number sense in children with visuospatial disabilities: Orientalion of the mental number line. Psychology Science, 47(1), 172-183.
Baddeley A. D., Hitch G. J., 1974. Working memory. In G. H. Bower (Ed.), The psychology of learning and motivation: Advances in research and theory, New York, Academic Press, USA, pp. 47–90
Baddeley A. D., 1996. Exploring the central executive. The Quarterly Journal of Experimental Psychology, 49a(1), 5–28.
Baddeley A., 2000. The episodic buffer: A new component of working memory? Trends in Cognitive Sciences, 4(11), 417–423.
Baddeley A-D., Logie. R,H, 1999. Working memory: The multiple-component model. In A, Miyake & P. Shah (Eds.). Models of working memory, New York, Cambridge University Press, USA, pp. 28-61.
Barrouillet P., Fayol M., Lathuliere E., 1997. Selecting between competitors in multiplication tasks: An explanation of the errors produced by adolescents with learning disabilities. International Journal of Behavioral Developments, 21(2), 253–275.
Blair C., Razza R. P., 2007. Relating effortful control, executive function, and false belief understanding to emerging math and literacy ability in kindergarten. Child Development, 78(2), 647–663.
Brady T. F., Konkle T., Alvarez G. A., Oliva A., 2008. Visual long-term memory has a massive storage capacity for object details. http://cvcl.mit.edu/papers/BradyKonkleAlvarezOliva_PNAS2008.pdf. Accessed 15 November 2017
Bryant B.R., Rivera D.P., 1997. Educational assessment of mathematics skills and abilities. Journal of Learning Disabilities, 30(1), 57–68.
Bull R., Espy K. A., Wiebe S. A., 2008. Short-term memory, working memory, and executive functioning in preschoolers: Longitudinal predictors of mathematical Achievement at age 7 years. Developmental Neuropsychology, 33(3), 205–228.
Bull R., Johnston R. S., Roy J. A., 1999. Exploring the roles of the visual–spatial sketch pad and central executive in children's arithmetical skills: Views from cognition and developmental neuropsychology. Developmental Neuropsychology, 15(3), 421−442.
Bull R., Johnston R., 1997. Children’s arithmetical difficulties: Contributions from processing speed, item identification, and short-term memory. Journal of Experimental Child Psychology, 65, 1–24.
Cantor J., Engle R. W., Hamilton G., 1991. Short term memory, working memory, and verbal abilities: How do they relate?. Intelligence, 15, 229–246.
Carnine D., 1991. Reforming mathematics instruction: The role of curriculum materials. Journal of Behavioral Education, 1(1), 37–57.
Gathercole S. E., Alloway T. P., Willis C. S., Adams A. M., 2006a. Working memory in children with reading disabilities. Journal of Experimental Child Psychology, 93(3), 265–281.
Cornoldi C., Vecchi T., 2000. Mental imagery in blind people: The role of passive and active visuospatial processes.
https://www.researchgate.net/publication/300218869 Mental imagery in blind people the role of passive and active visuospatial processes. Accessed 15 November 2017
Comoldi C. Rigoni F., Tressoldi P.E, Vio C, 1999. Imagery deficits in nonverbal learning disabilities. Journal of learning Disabilities, 32(1),48-63.
D'Amico A., Guarnera M., 2005. Exploring working memory in children with low arithmetical achievement. Learning and Individual Differences, 15(3), 189−202.
Daneman M., Carpenter P. A., 1980. Individual differences in working memory and reading. Journal of Verbal Learning and Verbal Behavior, 19(4), 450–466.
Dark V.J., Benbow C.P., 1990. Enhanced problem translation and short term memory: Components of mathematical talent. Journal of Educational Psychology, 82(3), 420–429.
Dark V.J., Benbow C.P., 1991. Differential enhancement of working memory with mathematical versus verbal precocity. Journal of Educational Psychology, 83(1), 48–60.
Deary I. J., Strand S., Smith P., Fernandes C., 2007. Intelligence and educational achievement. Intelligence, 35(1), 13−21.
De Smedt B., Janssen R., Bouwens K., Verschaffel L., Boets B., Ghesquiere P., 2009. Working memory and individual differences in mathematics achievement: A longitudinal study from first grade to second grade. Journal of Experimental Child Psychology, 103(2),186–201.
Engle R. W., Cantor J., Carullo J. J., 1992. Individual differences in working memory and comprehension: A Test of four hypotheses. Journal of Experimental Psychology: Learning, Memory, and Cognition, 18(5), 972–992.
Fagan J. F., 2000. A theory of intelligence as processing: Implications for society. Psychology, Public Policy, and Law, 6(1), 168-179.
Flanagan D.P., McGrew K.S., Ortiz S.O., 2000. The Wechsler intelligence scales and Gf-Gc theory: A contemporary approach to interpretation. Boston: Allyn & Bacon.
Flanagan D.P., Ortiz S.O., Alfonso V.C., Mascolo J.T., 2002. The achievement test desk references (ATDR): A comprehensive framework for LD determination. Boston, Allyn & Bacon, USA.
Fleischner J.E., 1994. Diagnosis and assessment of mathematics learning disabilities. In G.R. Lyon (Ed.), Frames of reference for the assessment of learning disabilities: New views on measurement issues. Baltimore, MD Paul H. Brookes, USA, pp. 441–458.
Friso-van den Bos I., Van der Ven S. H. G., Kroesbergen E. H., Van Luit J. E. H., 2013. Working memory and mathematics in primary school children: A meta-analysis. Educational Research Review, 10, 29–44.
Furst A.J., Hitch G.J., 2000. Separate roles for executive and phonological components of working memory in mental arithmetic. Memory and Cognition, 28(5), 774–782.
Geary D.C., Burlington-Dubree M., 1989. External validation of strategy choice model for addition. Journal of Experimental Child Psychology, 47(2), 175–192.
Geary D. C., Brown S. C., Samaranayake V. A., 1991. Cognitive addition: A short longitudinal study of strategy choice and speed-of-processing differences in normal and mathematically disabled children. Developmental Psychology, 27(5), 787–797.
Geary D.C., Widaman K.F., 1992. Numerical cognition: On the convergence of componential and psychometric models. Intelligence, 16(1), 47–80.
Geary D. C., Bow-Thomas C. C., Yao Y., 1992. Counting knowledge and skill in cognitive addition: A comparison of normal and mathematically disabled children. Journal of Experimental Child Psychology, 54(3), 372–391.
Geary D. C., 1993. Mathematical disabilities: Cognitive, neuropsychological, and genetic components. Psychological Bulletin, 114(2), 345–362.
Geary D. C., Hoard M. K., Hamson C. O., 1999. Numerical and arithmetical cognition: Patterns of functions and deficits in children at risk for mathematical disability. Journal of Experimental Child Psychology,74(3), 213–239.
Geary D.C., Hamson C.O., Hoard M.K., 2000. Numerical and arithmetical cognition: A longitudinal study of process and concept deficits in children with learning disability. Journal of Experimental Child Psychology,77, 236-263.
Geary D.C., Hoard M.K., 2001. Numerical and arithmetic deficits in learning-disabled children: Relation to dyscalculia and dyslexia. Aphasiology, 15(7), 635–647.
Geary D. C., Hoard M. K., Byrd-Craven, J., DeSoto, M. C., 2004. Strategy choices in simple and complex addition: Contributions of working memory and counting knowledge for children with mathematical disability. Journal of Experimental Child Psychology, 88(2), 121−151.
Geary D.C., Hoard M.K., Byrd-Graven J., Nugent L., Numtee C., 2007. Cognitive Mechanisms underlying achievement deficits in children with mathematical learning disability. Child Development, 78(4), 1343-1359.
Geary D. C., Hoard M. K., Nugent L., Byrd-Craven J., 2007. Strategy use, long-term memory, and working memory capacity. In D. B. Berch & M.M.M. Mazzocco (Eds.), why is math so hard for some children? The nature and origins of mathematical learning difficulties and disabilities. Baltimore, Maryland: Paul H. Brookes Publishing Co,USA, pp. 83−105.
Geary D. C., Hoard M. K., Nugent L., Byrd-Craven J., 2008. Development of number line representations in children with mathematical learning disability. Developmental Neuropsychology, 33(3), 277−299.
Geary D. C., 2011. Cognitive predictors of achievement growth in mathematics: A 5-year longitudinal study. Developmental Psychology, 47(6), 1539–1552.
Gersten R., Chard D., 1999. Number sense: Rethinking arithmetic instruction for students with mathematical disabilities. Journal of Special Education, 33(1), 18–28.
Gersten R., Jordan N.C., Flojo J.R., 2005. Early identification and interventions for students with mathematics difficulties. Journal of Learning Disabilities, 38(4), 293-304.
Gignac G. E., Weiss L. G., 2015. Digit span is (mostly) related linearly to general intelligence: Every extra bit of span counts. Psychological Assessment, 27(4), 1312–1323.
Gross-Tsur V., Manor O., Shalev R. S., 1996. Developmental dyscalculia: Prevalence and demographic features. Developmental Medicine and Child Neurology, 38(1), 24–33.
Gustafsson J. E., Balke G., 1993. General and specific abilities as predictors of school achievement. Multivariate Behavioral Research, 28(4), 407– 434.
Gustafsson J.-E., Undheim J. O., 1996. Individual differences in cognitive functions. In D. C. Berliner & R. C. Calfee (Eds.), Handbook of educational psychology. New York: Prentice Hall, USA, pp. 186-242.
Healy A. F., Naime J. S., 1985. Short-term memory processes in counting. Cognitive Psychology, 17(4), 417-444.
Heathcote D., 1994. The role of visuo-spatial working memory in mental addition of multi-digit addends. Current Psychology, 13(2), 207-245.
Henry L., MacLean M., 2003 Relationships between working memory, expressive vocabulary and arithmetical reasoning in children with and without intellectual disabilities. Educational and Child Psychology, 20(3), 51-63.
Hitch G.J., 1978. The role of short - term working memory in mental arithmetic. Cognitive Psychology, 10(3), 302-323.
Hitch G. J., McAuley E., 1991. Working memory in children with specific arithmetical learning difficulties. British Journal of Psychology, 82(3), 375–386.
Geary D.C., Hoard M.K., Hamson C.O., 1999. Numerical and Arithmetical Cognition: Patterns of Functions and Deficits in Children at Risk for a Mathematical Disability Numerical and arithmetic cognition. Journal of Experimental Child Psychology 74(3), 213–239
Holmes J., Adams J., 2006. Working memory and children's mathematical skills: implications for mathematical development and mathematics curricula. Educational Psychology, 26(3), 339–366.
Hulme C., Roodenrys S., 1995. Verbal working memory development and its disorders. Journal of Child Psychology and Psychiatry, 36(3), 373–398.
Jensen A. R., 1998. The G Factor: The Science of Mental Ability. Westport, Connecticut London, CT: Praeger, UK.
Jordan N. C., Montani T. O., 1997. Cognitive arithmetic and problem solving: A comparison of children with specific and general mathematical difficulties. Journal of Learning Disabilities, 30(6), 624–634.
Kazlauskaite V., Lynn R., 2002. Two-year test-retest reliability of the Coloured Progressive Matrices. Perceptual and Motor Skills, 95(2), 354.
Keith T. Z., 1999. Effects of general and specific abilities on student achievement: Similarities and differences across ethnic groups. School Psychology Quarterly, 14(3), 239-262.
Kroesbergen E.H.,VanLuit J.E.H.,VanLieshout E.C.D.M.,VanLoosbroek E., Van de Rijt B. A. M., 2009. Individual differences in early numeracy: the role of executive functions and subitizing. J. Psychoeduc. Assess. 27(3), 226–236.
Kvist A. v., Gustafsson J., 2008. The relation between fluid intelligence and the general factor as a function of cultural background: A test of Cattell’s investment theory. Intelligence, 36, 422−436.
Kyttala M., Aunio P., Lehto J.E, Van Luit J., Hautamaki J., 2003. Visuospatial working memory and early numeracy. Educational and Child Psychology, 20(3), 65-76.
Lemer C., Dehaene S., Spelke E., Cohen L., 2003. Approximate quantities and exact number words: dissociable systems. Neuropsychologia, 41, 1942-1958.
Logie R.H., Baddeley A.D., 1987. Cognitive processes in counting. Journal of Experimental Psychology: Learning, Memory, and Cognition, 13(2), 310-326.
Logie R. H., Gilhooly K. J., Wynn V., 1994. Counting on working memory in arithmetic problem solving. Memory and Cognition, 22(4), 395-410.
Luo D., Thompson L. A., Detterman D. K., 2003. The causal factor underlying the correlation between psychometric g and scholastic performance. Intelligence, 31(1), 67-83.
Lyon G.R., Vaasen M., Toomey F., 1989. Teachers’ perceptions of their undergraduate and graduate preparation. Teacher Education and Special Education, 12(4), 164–169.
Lee K.-M., Kang S.-Y., 2002. Arithmetic operation and working memory: Differential suppression in dual tasks. Cognition, 83(3), B63-68.
Logie R, Marchetti C, 1991. Visuo-spatial working memory: Visual, spatial, or central executive? in RH Logie & M Denis (eds), Mental Images in Human Cognition (Advances in Psychology), Elsevier B.V., pp. 105-115.
Logie R.H., 1993. Working memory in everyday cognition. In G.M. Davies & R.H. Logie (Eds.), Memory in everyday life, Amsterdam, Elsevier B.V., North-Holland, pp. 173-218.
Logie R.H., Pearson D.G., 1997. The inner eye and the inner scribe of visuo-spatial working memory: Evidence from developmental fractionation. European Journal of Cognitive Psychology, 9(3), 241-257.
Maybery M.T., Do N., 2003. Relationships between facets of working memory and performance on a curriculum based mathematics test in children. Educational and Child Psychology, 20(3), 77-92.
McArdle J. J., Woodcock J. R., 1998. Human cognitive abilities in theory and practice. Mahwah, NJ: Lawrence Erlbaum Associates, USA.
McCallum R. S., 2003. Context for nonverbal assessment of intelligence and related abilities. In R. Steve & R. S. McCallum (Eds.), Handbook of nonverbal assessment. New York, Kluwer, USA, pp. 3-21.
McKenzie B,, Bull R., Gray C., 2003. The effects of phonological and visual-spatial interference on children's arithmetical performance. Educational and Child Psychology, 20(3), 93-108.
McLean J.F., Hitch G.J., 1999. Working memory impairments in children with specific arithmetic learning difficulties. Journal of Experimental Child Psychology, 74, 240–260.
McGrew K. S., 1997. Analysis of the major intelligence batteries according to a proposed comprehensive Gf–Gc framework. In D. P. Flanagan, J. L. Genshaft, & P. L. Harrison (Eds.), Contemporary intellectual assessment: Theories, tests, and issues, New York, Guilford, USA, pp. 131–150
McGrew K.S., Flanagan D.P., 1998. The intelligence test desk reference (ITDR): Gf-Gc Cross-Battery assessment, Boston, Allyn & Bacon, USA.
McGrew K. S., Wendling B. J., 2010. Cattell–Horn–Carroll cognitive-achievement relations: What we have learned from the past 20 years of research. Psychology in the Schools, 47(7), 651–675.
Miller S.P., Mercer C.D., 1997. Educational aspects of mathematics disabilities. Journal of Learning Disabilities, 30(1), 47–56.
Moenikia M., Zahed-Babelan A., 2010. A study of simple and multiple relations between mathematics attitude, academic motivation and intelligence quotient with mathematics achievement. Procedia - Social and Behavioral Sciences, 2 (2), 1537–1542.
Mullis I.V.S., Martin M.O., Gonzalez E.J., O’Connor K.M., Chrostowski S.J., Gregory K.D., Garden R.A., Smith T.A., 2001. Mathematics benchmarking report: The Third International Math and Science Study—Eighth Grade. Boston, MA: Boston College International Study Center, USA
Naglieri J. A., Bornstein B. T., 2003. Intelligence and achievement: Just how correlated are they? Journal of Psychoeducational Assessment, 21(3), 244-260.
Naglieri J., Ford D. Y., 2003. Addressing under-representation of gifted minority children using the Naglieri Nonverbal Ability Test (NNAT). Gifted Child Quarterly, 47(2), 155-160.
Naglieri J. A., Ford D. Y., 2005. Increasing minority children’s participation in gifted classes using the NNAT: A response to Lohman. Gifted Child Quarterly, 49(1), 29-36.
Naglieri J. A., Das J. P., 2005. Planning, attention, simultaneous, successive (PASS) theory: A revision of the concept of intelligence. In D. P. Flanagan & P. L. Harrison (Eds.), Contemporary intellectual assessment (2nd ed). New York: Guilford, USA, pp. 136-182.
Neisser U., Boodoo G., Bouchard T. J. J., Boykin A. W., Brody N., Ceci S. J., et al., 1996. Intelligence: Knows and unknowns. American Psychologist, 51(2), 77-101.
Noel M.P., Desert M., Aubrun A., Seron X., 2001. Involvement of short-term memory in complex mental calculation. Memory and Cognition, 29(1), 34–42.
Nye J., Clibbens J., Bird G., 1995. Numerial ability, general ability and language in children with Down Syndrome. Down syndrome Research and Practice, 3(3), 92 – 102
Okamoto Y., Case R., 1996. Exploring the microstructure of children’s central conceptual struc tures in the domain of number. Monographs of the Society for Research in Child Development, 61(1-2), 27-59.
Osterrieth P. A., 1944. Le test de copie d'une figure complexe. : Thèse de doctorat, Mention Pédagogie Genève
Panaoura A., Philippou G., 2007. The developmental change of young pupils' metacognitive ability in mathematics in relation to their cognitive abilities. Cognitive Development, 22(2), 149-164
Papanicolaou A., 2006. The amnesias: A clinical textbook of memory and its disorders. New York, Oxford University Press, USA
Passolunghi M. C., Cornoldi, C., 2008. Working memory failures in children with arithmetical difficulties. Child Neuropsychology, 14(5), 387−400.
Passolunghi M. C., Cornoldi C., De Liberto S., 1999. Working memory and intrusions of irrelevant information in poor problem solvers. Memory & Cognition, 27(5), 779–790.
Passolunghi M. C., Siegel L. S., 2001. Short term memory, working memory, and inhibitory control in children with specific arithmetic learning difficulties. Journal of Experimental Child Psychology, 80(1), 44–57.
Passolunghi M. C., Siegel L. S., 2004. Working memory and access to numerical information in children with disability in mathematics. Journal of Experimental Child Psychology, 88(4), 348-367.
Passolunghi M. C., Pazzaglia F., 2004. Individual differences in memory updating in relation to arithmetic problem solving. Learning and Individual Differences, 14(4), 219–230.
Passolunghi M. C., Pazzaglia F. A, 2005. A comparison of updating processes in children good or poor in arithmetic word problem-solving. Learning and Individual Differences, 15(4) 257–269.
Pauly H., Linkersdorfer J., Lindberg S., Woerner W., Hasselhorn M., Lonnemann J., 2011. Domain-specific rapid automatized naming deficits in children at risk for learning disabilities. Journal of Neurolinguistics, 24(5), 602–610.
Pazzaglia F, Comoldi C., 1999. The role of distinct components of visuo-spatial working memory in the processing of texts. Memory, 7(1), 19-41.
Pickering S.J, Gathercole S.E,, Hall M., Lloyd S,A, 2001. Development of memory for pattern and path: Further evidence for the fractionation of visuo-spatial memory. Quarterly Journal of Experimental Psychology, 54(2), 397 - 420.
Pind J., Gunnarsdottir E. K., Johannesson H. S., 2003. Raven’s Standard Progressive Matrices: New school age norms and a study of the test’s validity. Personality and Individual Differences, 34(3), 375-386.
Raven J., Raven J., 2003. Raven Progressive Matrices. In R. Steve & R. S. McCallum (Eds.), Handbook of nonverbal assessment. New York: Kluwer, USA, pp. 223-237
Resnick L. B., 1989. Developing mathematical knowledge. American Psychologist, 44(2), 162-169.
Rey A., 1941. L'examen psychologique dans les cas d'encépalopathie traumatique. Archives de Psychologie, 28, 286–340.
Reukhala M., 2001. Mathematical skills in ninth-graders: Relationship with visuospatial abilities and working memory. Educational Psychology, 21(4), 387−399.
Reyna V. F., Brainerd C. J., 2007. The importance of mathematics in health and human judgment: Numeracy, risk communication, and medical decision making. Learning and Individual Differences, 17(2), 147–159.
Reynolds M. R., Keith T. Z., Flanagan D. P., Alfonso V. C., 2013. A cross-battery, reference variable, confirmatory factor analytic investigation of the CHC taxonomy. Journal of School Psychology, 51(4), 535–555.
Rivera-Batiz F.L., 1992. Quantitative literacy and the likelihood of employment among young adults in the United States. Journal of Human Resources, 27(2), 313–328.
Robinson N., Abbott R., Berninger V.W., Busse J., 1996. The structure of abilities in math-precocious young children: Gender similarities and differences. Journal of Educational Psychology, 88(2), 341–352.
Robinson C. S., Menchetti B. M., Torgesen J. K., 2002. Toward a two-factor theory of one type of mathematics disabilities. Learning Disabilities Research & Practice, 17(2), 81-89.
Rohde T. E., Thompson L. A., 2007. Predicting academic achievement with cognitive ability. Intelligence, 35(1), 83-92.
Rourke B.P., 1993. Arithmetic disabilities, specific and otherwise: A neuropsychological perspective. Journal of Learning Disabilities, 26(4), 214–266.
Rourke B.P., Conway J.A., 1997. Disabilities of arithmetic and mathematical reasoning: Perspectives from neurology and neuropsychology. Journal of Learning Disabilities, 30(1), 34–46.
Rushton J. P., Skuy M., Fridjhon P., 2003. Performance on Raven’s Advanced Progressive Matrices by African, East Indian, and White engineering students in South Africa. Intelligence, 31(2), 123-137.
Russell R., Ginsburg H.P., 1984. Cognitive analysis of children’s mathematical difficulties. Cognition and Instruction, 1(2), 217–247.
Siegel L. S., Linder B. A., 1984. Short-term memory processes in children with reading and arithmetic learning disabilities. Developmental Psychology, 20(2), 200–207.
Siegler R. S., Shrager J., 1984. Strategy choice in addition and subtraction: How do children know what to do? In C. Sophian (Ed.), Origins of cognitive skill. Hillsdale, NJ, Erlbaum, USA, pp. 229–293
Siegel L. S., Ryan E. B., 1989. The development of working memory in normally achieving and subtypes of learning disabled children. Child Development 60(4), 973–980.
Simmons F. R., Singleton C., 2008. Do weak phonological representations impact on arithmetic development? A review of research into arithmetic and dyslexia. Dyslexia, 14(2), 77-94.
Spinath B., Spinath F. M., Harlaar N., Plomin R., 2006. Predicting school achievement from general cognitive ability, self-perceived ability, and intrinsic value. Intelligence, 34(4), 363-374.
Swanson H. L., 1993. Working memory in learning disability subgroups. Journal of Experimental Child Psychology, 56(1), 87–114.
Swanson H. L., 1994. Short-term memory and working memory: Do both contribute to our understanding of academic achievement in children and adults with learning disabilities?. Journal of Learning Disabilities, 27(1), 34–50.
Swanson L., Kim K., 2007. Working memory, short-term memory, and naming speed as predictors of children's mathematical performance. Intelligence, 35(2), 151–168.
Temple C. M., Sherwood S., 2002. Representation and retrieval of arithmetical facts: Developmental difficulties. Quarterly Journal of Experimental Psychology Section A, Human Experimental Psychology, 55(3), 733−752.
Turner M. L., Engle R. W., 1989. Is working memory capacity task dependent? Journal of Memory and Language, 28(2), 127–154.
Tymms P., 1999. Baseline assessment and monitoring in primary schools. London, David Fulton, UK.
Van der Sluis S., De Jong P. F., Van der Leij A., 2004. Inhibition and shifting in children with learning deficits in arithmetic and reading. Journal of Experimental Child Psychology, 87(3), 239–266.
Van der Sluis S., van der Leij A., De Jong P. F., 2005. Working memory in Dutch children with reading- and arithmetic-related LD. Journal of Learning Disabilities, 38(3), 207−221.
VanderVen S.H.G., Kroesbergen E.H., Boom J., Leseman P.P.M., 2012. The development of executive functions and early mathematics: A dynamic relationship. British Journal of Educational Psychology, 82(1),100–119.
Watkins M. W., Lei P.-W., Canivez G. L., 2007. Psychometric intelligence and achievement: A cross-lagged panel analysis. Intelligence, 35(1), 59-68.
Willburger E., Fussenegger B., Moll K., Wood G., Landerl K., 2008. Naming speed in dyslexia and dyscalculia. Learning and Individual Differences, 18(2), 224–236.
Wechsler D., 2014. Wechsler Intelligence Scale for Children-Fifth Edition. San Antonio, TX Pearson, USA
Wu S. S., Meyer M. L., Maeda U., Salimpoor V., Tomiyama S., Geary D. C., et al., 2008. Standardized assessment of strategy use and working memory in early mental arithmetic performance. Developmental Neuropsychology, 33(3), 365−393.
Zorzi, M.. Prifiis. K., Umilta, 2002. Neglect disrupts ihe mental number line. Nature. 417, 138-139.
Zorzi M., Priftis K., Meneghello F., Marenzi R.,Umilta C., 2006. The spatial representation of numerical and non-numerical sequences: Evidence from neglect. Neuropsychologia, 44(7),1061-1067.
DOI: http://dx.doi.org/10.46827/ejes.v0i0.1257
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