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:: Volume 6, Issue 2 (Vol6 No2 Summer 2019 - 2019) ::
J Child Ment Health 2019, 6(2): 53-67 Back to browse issues page
Study of Numerical Processing Speed, Implicit and Explicit Memory, Active and Passive Memory, Conservation Abilities, and Visual-Spatial Skills of Students with Dyscalculia
Somayeh Keshavarz * 1, Alireza Kakavand1
1- Department of Psychology, Faculty of Social Sciences, Imam Khomeini International University, Qazvin, Iran
Abstract:   (4451 Views)
Background and Purpose: Learning disorder is one of the common disorders in students, which can lead to the occurrence of educational problems and secondary disorders in them. Based on psychopathological criteria, dyscalculia is one of the subcategories of learning disorder. Children with this disorder have problems in perception of spatial relations and in different cognitive abilities. Therefore, the present research aimed to compare the cognitive-perceptual abilities like numerical processing, implicit and explicit memory, active and passive memory, conservation ability, and visual-spatial skills in children with dyscalculia and normal students.    
Method: This study was of causal- comparative design. The sample consisted of 70 students with learning disorder selected by convenience sampling from centers for learning disability in Karaj and Qazvin and 80 normal students selected by multistage random sampling. The used instruments included Wechsler Intelligence Scale (WIS), Visual- Spatial Memory Test (Cornoldi, 1995), Active - Passive Memory Test (Cornoldi, 1995), Explicit and Implicit Memory Test (Snodgrass and Vanderwart, 1980), Iran Key Math Diagnostic Test (Cornoli et al., 1976), Numerosity Processing Speed Test (Cappelletti et al., 2007), and Conservation of Liquid Task with Bogardo and Russ method (1991). Data were analyzed by multivariate analysis of variance.
Results: The findings demonstrated that there were significant differences between the groups in terms of liquid conservation, explicit memory, active memory, numerical processing speed, and visual-spatial skills (p <0.001). However, no significant difference was observed between the groups in the components of passive and implicit memory (p <0.05).
Conclusion: Based on the obtained results, it can be concluded that the children with dyscalculia have more problems in conservation ability, visual-spatial ability, and numerical processing speed. These deficits are not related to the intelligence but to the executive functions, especially the active memory. Therefore, it can be suggested that these components are among the distinctive characteristics of this group of students with special learning disability and should be paid special attention at the time of identification and planning for treatment.                                               
 
Keywords: Cognitive-perceptual characteristics, learning disorder, dyscalculia, normal students.
Full-Text [PDF 965 kb]   (1623 Downloads)    
Type of Study: Research | Subject: Special
Received: 2018/11/20 | Accepted: 2019/03/13 | Published: 2019/08/7
References
1. Akhavan Tafti M, Boyle JR, Crawford CM. Meta -Analysis of visual-spatial deficits in dyslexia. Int J Brain Cogn Sci. 2014; 3(1): 25-34. [Link]
2. Sadeghi N, Nazari MA. Effect of neurofeedback on visual-spatial attention in male children with reading disabilities: an event-related potential study. Neurosci Med. 2015; 6(2): 71-79. [Link] [DOI:10.4236/nm.2015.62013]
3. Taghizadeh H, Soltani A, Manzari Tavakoli H, Zeinaddiny Maymand Z. The structural model of the role of executive functions in learning performance of students with specific learning disabilities. Quarterly Journal of Child Mental Health. 2017; 4(2): 25-36. [Persian]. [Link]
4. Andersson U. Mathematical competencies in children with different types of learning difficulties. J Educ Psychol. 2008; 100(1): 48-66. [Link] [DOI:10.1037/0022-0663.100.1.48]
5. Rudkin SJ, Pearson DG, Logie RH. Executive processes in visual and spatial working memory tasks. Q J Exp Psychol (Hove). 2007; 60(1): 79-100. [Link] [DOI:10.1080/17470210600587976]
6. Zhang H, Chang L, Chen X, Ma L, Zhou R. Working memory updating training improves mathematics performance in middle school students with learning difficulties. Front Hum Neurosci. 2018; 12: 154. [Link] [DOI:10.3389/fnhum.2018.00154]
7. Swanson HL, Jerman O. Math disabilities: a selective meta-analysis of the literature. Rev Educ Res. 2006; 76(2): 249-274. [Link] [DOI:10.3102/00346543076002249]
8. Geary DC, Hoard MK, Nugent L, Bailey DH. Mathematical cognition deficits in children with learning disabilities and persistent low achievement: a five-year prospective study. J Educ Psychol. 2012; 104(1): 206-223. [Link] [DOI:10.1037/a0025398]
9. Rosselli M, Ardila A, Matute E, Inozemtseva O. Gender differences and cognitive correlates of mathematical skills in school-aged children. Child Neuropsychol. 2009; 15(3): 216-231. [Link] [DOI:10.1080/09297040802195205]
10. Fuchs LS, Fuchs D, Craddock C, Hollenbeck KN, Hamlett CL, Schatschneider C. Effects of small-group tutoring with and without validated classroom instruction on at-risk students' math problem solving: are two tiers of prevention better than one? J Educ Psychol. 2008; 100(3): 491-509. [Link] [DOI:10.1037/0022-0663.100.3.491]
11. Booth JL, Siegler RS. Numerical magnitude representations influence arithmetic learning. Child Dev. 2008; 79(4): 1016-1031. [Link] [DOI:10.1111/j.1467-8624.2008.01173.x]
12. Bartelet D, Ansari D, Vaessen A, Blomert L. Cognitive subtypes of mathematics learning difficulties in primary education. Res Dev Disabil. 2014; 35(3): 657-670. [Link] [DOI:10.1016/j.ridd.2013.12.010]
13. Landerl K, Fussenegger B, Moll K, Willburger E. Dyslexia and dyscalculia: two learning disorders with different cognitive profiles. J Exp Child Psychol. 2009; 103(3): 309-324. [Link] [DOI:10.1016/j.jecp.2009.03.006]
14. Van't Noordende JE, van Hoogmoed AH, Schot WD, Kroesbergen EH. Number line estimation strategies in children with mathematical learning difficulties measured by eye tracking. Psychol Res. 2016; 80(3): 368-378. [Link] [DOI:10.1007/s00426-015-0736-z]
15. Casey BM, Pezaris E, Fineman B, Pollock A, Demers L, Dearing E. A longitudinal analysis of early spatial skills compared to arithmetic and verbal skills as predictors of fifth-grade girls' math reasoning. Learn Individ Differ. 2015; 40: 90-100. [Link] [DOI:10.1016/j.lindif.2015.03.028]
16. Caviola S, Mammarella IC, Lucangeli D, Cornoldi C. Working memory and domain-specific precursors predicting success in learning written subtraction problems. Learn Individ Differ. 2014; 36: 92-100. [Link] [DOI:10.1016/j.lindif.2014.10.010]
17. Kolkman ME, Kroesbergen EH, Leseman PPM. Involvement of working memory in longitudinal development of number-magnitude skills. Infant Child Dev. 2014; 23(1): 36-50. [Link] [DOI:10.1002/icd.1834]
18. Van de Weijer-Bergsma E, Kroesbergen EH, Van Luit JEH. Verbal and visual-spatial working memory and mathematical ability in different domains throughout primary school. Mem Cognit. 2015; 43(3): 367-378. [Link] [DOI:10.3758/s13421-014-0480-4]
19. Kroesbergen EH, van Dijk M. Working memory and number sense as predictors of mathematical (dis-)ability. Z Psychol. 2015; 223(2): 102-109. [Link] [DOI:10.1027/2151-2604/a000208]
20. Schuchardt K, Maehler C, Hasselhorn M. Working memory deficits in children with specific learning disorders. J Learn Disabil. 2008; 41(6): 514-523. [Link] [DOI:10.1177/0022219408317856]
21. Szucs D, Devine A, Soltesz F, Nobes A, Gabriel F. Developmental dyscalculia is related to visuo-spatial memory and inhibition impairment. Cortex. 2013; 49(10): 2674-288. [Link] [DOI:10.1016/j.cortex.2013.06.007]
22. Reuhkala M. Mathematical skills in ninth-graders: Relationship with visuo-spatial abilities and working memory. Educ Psychol. 2001; 21(4): 387-399. [Link] [DOI:10.1080/01443410120090786]
23. Krajewski K, Schneider W. Early development of quantity to number-word linkage as a precursor of mathematical school achievement and mathematical difficulties: Findings from a four-year longitudinal study. Learn Instr. 2009; 19(6): 513-526. [Link] [DOI:10.1016/j.learninstruc.2008.10.002]
24. Cowan R, Donlan C, Shepherd D-L, Cole-Fletcher R, Saxton M, Hurry J. Basic calculation proficiency and mathematics achievement in elementary school children. J Educ Psychol. 2011; 103(4): 786-803. [Link] [DOI:10.1037/a0024556]
25. Shayer M, Ginsburg D, Coe R. Thirty years on - a large anti-Flynn effect? The piagetian test volume & heaviness norms 1975-2003. Br J Educ Psychol. 2007; 77(Pt 1): 25-41. [Link] [DOI:10.1348/000709906X96987]
26. Wubbena ZC. Mathematical fluency as a function of conservation ability in young children. Learn Individ Differ. 2013; 26: 153-155. [Link] [DOI:10.1016/j.lindif.2013.01.013]
27. Williams M, Pouget P, Boucher L, Woodman GF. Visual-Spatial attention aids the maintenance of object representations in visual working memory. Mem Cognit. 2013; 41(5): 698-715. [Link] [DOI:10.3758/s13421-013-0296-7]
28. Abedi MR, Sadeghi A, Rabiei M. Standardization of the wechsler intelligence scale for children-iv in Chahar Mahal va Bakhteyri state. Journal of Personality & Individual Differences. 2013; 2(3): 138-158. [Persian]. [Link]
29. Cornoldi C, Rigoni F, Tressoldi PE, Vio C. Imagery deficits in nonverbal learning disabilities. J Learn Disabil. 1999; 32(1): 48-57. [Link] [DOI:10.1177/002221949903200105]
30. Ahadi H, Kakavand AR. Comparing explicit and implicit memory of children with special disability in learning and normal children by using picture test. Knowledge & Research in Applied Psychology. 2004; (21/22): 155-168. [Persian]. [Link]
31. Shahim S, Haroon Rashidi H. A comparison of performance of children with nonverbal learning disabilities (NLD) and verbal learning disabilities (VLD) on thscale for children-revised (WISC-R), the bendevisual-motor gestalt test and the Iranian key Mathâre wechsler intelligence. Knowledge & Research in Applied Psychology. 2017; 0(32): 61-90. [Persian]. [Link]
32. Mohammadesmaeil E, Hooman H A. Adaptation and standardization of the IRAN KEY-MATH test of mathematics. Journal of Exceptional Children. 2003; 2(4): 323-332. [Persian]. [Link]
33. Cappelletti M, Barth H, Fregni F, Spelke ES, Pascual-Leone A. rTMS over the intraparietal sulcus disrupts numerosity processing. Exp Brain Res. 2007; 179(4): 631-642. [Link] [DOI:10.1007/s00221-006-0820-0]
34. Gladstone R. Conservation and compensation. J Genet Psychol. 1981; 138(2): 193-205. [Link] [DOI:10.1080/00221325.1981.10534134]
35. Arffa S. The relationship of intelligence to executive function and non-executive function measures in a sample of average, above average, and gifted youth. Arch Clin Neuropsychol. 2007; 22(8): 969-978. [Link] [DOI:10.1016/j.acn.2007.08.001]
36. Peng P, Congying S, Beilei L, Sha T. Phonological storage and executive function deficits in children with mathematics difficulties. J Exp Child Psychol. 2012; 112(4): 452-466. [Link] [DOI:10.1016/j.jecp.2012.04.004]
37. Tavangar Marvasti F, Abarghoi MR, Sharifi Saki S, Ahmadi H, babai Sanglagi M, Karimi R. Efficacy of number concepts training using separate skimming in reducing school phobia in students with mathematics disorder. Quarterly Journal of Child Mental Health. 2015; 2(3): 85-94. [Persian]. [Link]
38. Moeller K, Neuburger S, Kaufmann L, Landerl K, Nuerk H-C. Basic number processing deficits in developmental dyscalculia: Evidence from eye tracking. Cogn Dev. 2009; 24(4): 371-386. [Link] [DOI:10.1016/j.cogdev.2009.09.007]
39. Arjmandnia AA, Sharifi A, Rostami R. The effectiveness of computerized cognitive training on the performance of visual-spatial working memory of students with mathematical problems. Journal of Learning Disabilities. 2014; 3(4): 6-24. [Persian]. [Link]
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Keshavarz S, Kakavand A. Study of Numerical Processing Speed, Implicit and Explicit Memory, Active and Passive Memory, Conservation Abilities, and Visual-Spatial Skills of Students with Dyscalculia . J Child Ment Health 2019; 6 (2) :53-67
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Volume 6, Issue 2 (Vol6 No2 Summer 2019 - 2019) Back to browse issues page
فصلنامه سلامت روان کودک Quarterly Journal of Child Mental Health
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