Volume 10, Issue 2 (March & April 2019)                   BCN 2019, 10(2): 165-174 | Back to browse issues page

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Nesayan A, Amani M, Asadi Gandomani R. Cognitive Profile of Children and its Relationship With Academic Performance. BCN. 2019; 10 (2) :165-174
URL: http://bcn.iums.ac.ir/article-1-1085-en.html
1- Department of Psychology, Faculty of Humanities, University of Bojnord, Bojnord, North Khorasan, Iran.
Introduction: Cognitive abilities are necessary for successful learning. Children with different cognitive ability levels may have diverse performances. The current study aimed at investigating the cognitive profile in children and its relationship with Academic Performance.
Methods: The population of the current cross sectional study consisted of all students in Jajarm City, Iran. The subjects were selected using multi-stage cluster sampling; and 289 students aged 6 to 13 years were included in the study. Data were collected using the Rey-Osterrieth complex figure test, coding subtest from Wechsler intelligence scale and behavioral rating inventory of executive functions. The Spearman rank correlation coefficient and the Scheffe post hoc test were used for data analysis.
Results: The obtained results showed that ‘processing speed’, ‘perceptual organizational ability’, ‘monitoring’, ‘planning’, ‘working memory’, ‘initiate’, ‘emotional regulation’, ‘shifting’, and ‘inhibit ‘ were significantly correlated with Academic Performance (P<0.001).
Conclusion: There was a significant relationship between cognitive profile and Academic Performance. Thus, teachers need to consider the variable of cognitive abilities in academic success.
Type of Study: Original | Subject: Cognitive Neuroscience
Received: 2017/11/30 | Accepted: 2018/04/7 | Published: 2019/03/1

1. Anderson, B., Storfer-Isser, A., Taylor, H. G., Rosen, C. L., & Redline, S. (2009). Associations of executive function with sleepiness and sleep duration in adolescents. Pediatrics, 123(4), e701-7. [DOI:10.1542/peds.2008-1182] [DOI:10.1542/peds.2008-1182]
2. Bachman, P., Reichenberg, A., Rice, P., Woolsey, M., Chaves, O., Martinez, D., et al. (2010). Deconstructing processing speed deficits in schizophrenia: application of a parametric digit symbol coding test. Schizophrenia Research, 118(1), 6-11. [DOI:10.1016/j.schres.2010.02.1029] [PMID] [PMCID] [DOI:10.1016/j.schres.2010.02.1029]
3. Baptista, J., Osório, A., Martins, E. C., Verissimo, M., & Martins, C. (2016). Does social-behavioral adjustment mediate the relation between executive function and academic readiness. Journal of Applied Developmental Psychology, 46, 22-30. [DOI:10.1016/j.appdev.2016.05.004] [DOI:10.1016/j.appdev.2016.05.004]
4. Becker, D. R., Miao, A., Duncan, R., & McClelland, M. M. (2014). Behavioral self-regulation and executive function both predict visuomotor skills and early academic achievement. Early Childhood Research Quarterly, 29(4), 411-24. [DOI:10.1016/j.ecresq.2014.04.014] [DOI:10.1016/j.ecresq.2014.04.014]
5. Best, J. R., Miller, P. H., & Naglieri, J. A. (2011). Relations between executive function and academic achievement from ages 5 to 17 in a large, representative national sample. Learning and Individual Differences, 21(4), 327-36. [DOI:10.1016/j.lindif.2011.01.007] [PMID] [PMCID] [DOI:10.1016/j.lindif.2011.01.007]
6. Blankson, A. N., & Blair, C. (2016). Cognition and classroom quality as predictors of math achievement in the kindergarten year. Learning and Instruction, 41, 32-40. [DOI:10.1016/j.learninstruc.2015.09.004] [DOI:10.1016/j.learninstruc.2015.09.004]
7. Brock, L. L., Rimm-Kaufman, S. E., Nathanson, L., & Grimm, K. J. (2009). The contributions of 'hot' and 'cool' executive function to children's academic achievement, learning-related behaviors, and engagement in kindergarten. Early Childhood Research Quarterly, 24(3), 337-49. [DOI:10.1016/j.ecresq.2009.06.001] [DOI:10.1016/j.ecresq.2009.06.001]
8. Bull, R., & Lee, K. (2014). Executive functioning and mathematics achievement. Child Development Perspectives, 8(1), 36-41. [DOI:10.1111/cdep.12059] [DOI:10.1111/cdep.12059]
9. Cragg, L., Keeble, S., Richardson, S., Roome, H. E., & Gilmore, C. (2017). Direct and indirect influences of executive functions on mathematics achievement. Cognition, 162, 12-26. [DOI:10.1016/j.cognition.2017.01.014] [PMID] [DOI:10.1016/j.cognition.2017.01.014]
10. Crowe, S. F., Benedict, T., Enrico, J., Mancuso, N., Matthews, C., & Wallace, J. (1999). Cognitive determinants of performance on the digit symbol-coding test, and the symbol search test of the Wais-III, and the symbol digit modalities test: an analysis in a healthy sample. Australian Psychologist, 34(3), 204-10. [DOI:10.1080/00050069908257455] [DOI:10.1080/00050069908257455]
11. Diamantopoulou, S., Rydell, A.-M., Thorell, L. B., & Bohlin, G. (2007). Impact of executive functioning and symptoms of attention deficit hyperactivity disorder on children's peer relations and school performance. Developmental Neuropsychology, 32(1), 521-42. [DOI:10.1080/87565640701360981] [PMID] [DOI:10.1080/87565640701360981]
12. Dimitrov, I., Kirkova, V., Kaprelyan, A., Ivanov, B., Usheva, N., Grudkova, M., et al. (2015). Application of the Rey-Osterrieth complex figure test for assessment of cognitive impairment in multiple sclerosis. Scripta Scientifica Medica, 47(3), 59-64. [DOI:10.14748/ssm.v47i3.1303] [DOI:10.14748/ssm.v47i3.1303]
13. Dulaney, A., Vasilyeva, M., & O'Dwyer, L. (2015). Individual differences in cognitive resources and elementary school mathematics achievement: Examining the roles of storage and attention. Learning and Individual Differences, 37, 55-63. [DOI:10.1016/j.lindif.2014.11.008] [DOI:10.1016/j.lindif.2014.11.008]
14. Duncan, R. J., McClelland, M. M., & Acock, A. C. (2017). Relations between executive function, behavioral regulation, and achievement: Moderation by family income. Journal of Applied Developmental Psychology, 49, 21-30. [DOI:10.1016/j.appdev.2017.01.004] [DOI:10.1016/j.appdev.2017.01.004]
15. Ebaid, D., Crewther, S. G., MacCalman, K., Brown, A., & Crewther, D. P. (2017). Cognitive processing speed across the lifespan: beyond the influence of motor speed. Frontiers in Aging Neuroscience, 9(62), 1-11. [DOI:10.3389/fnagi.2017.00062] [PMID] [PMCID] [DOI:10.3389/fnagi.2017.00062]
16. Fastenau, P. S., Denburg, N. L., & Hufford, B. J. (1999). Adult norms for the Rey-Osterrieth complex figure test and for supplemental recognition and matching trials from the Extended Complex figure test. The Clinical Neuropsychologist, 13(1), 30-47. [DOI:10.1076/clin.] [PMID] [DOI:10.1076/clin.]
17. Frank, J., & Landeira-Fernandez, J. (2008). Comparison between two scoring systems of the Rey-Osterrieth complex figure in left and right temporal lobe epileptic patients. Archives of Clinical Neuropsychology, 23(7), 839-45. [DOI:10.1016/j.acn.2008.06.001] [PMID] [DOI:10.1016/j.acn.2008.06.001]
18. García-Madruga, J., Vila, J., Gómez-Veiga, I., Duque, G., & Elosúa, M. (2014). Executive processes, reading comprehension and academic achievement in 3th grade primary students. Learning and Individual Differences, 35, 41-48. [DOI:10.1016/j.lindif.2014.07.013] [DOI:10.1016/j.lindif.2014.07.013]
19. Gioia, G. A., & Isquith, P. K. (2004). Ecological assessment of executive function in traumatic brain injury. Developmental Neuropsychology, 25(1-2), 135-58. [DOI:10.1207/s15326942dn2501&2_8] [PMID] https://doi.org/10.1080/87565641.2004.9651925 [DOI:10.1207/s15326942dn2501&2_8] [PMID]
20. Gioia, G. A., Isquith, P. K., Guy, S. C., & Kenworthy, L. (2000). Behavior Rating Inventory of Executive Function. Child Neuropsychology, 6, 235-8. [DOI:10.1076/chin.] [DOI:10.1076/chin.]
21. Gioia, G. A., Isquith, P. K., Retzlaff, P. D., & Espy, K. A. (2002). Confirmatory factor analysis of the Behavior Rating Inventory of Executive Function (BRIEF) in a clinical sample. Child Neuropsychology, 8(4), 249-57. [DOI:10.1076/chin.] [PMID] [DOI:10.1076/chin.]
22. González-Blanch, C., Pérez-Iglesias, R., Rodríguez-Sánchez, J. M., Pardo-García, G., Martínez-García, O., Vázquez-Barquero, J. L., et al. (2010). A digit symbol coding task as a screening instrument for cognitive impairment in first-episode psychosis. Archives of Clinical Neuropsychology, 26(1), 48-58. [DOI:10.1093/arclin/acq086] [PMID] [DOI:10.1093/arclin/acq086]
23. Isquith, P. K., Crawford, J. S., Espy, K. A., & Gioia, G. A. (2005). Assessment of executive function in preschool‐aged children. Developmental Disabilities Research Reviews, 11(3), 209-15. [DOI:10.1002/mrdd.20075] [PMID] [PMCID] [DOI:10.1002/mrdd.20075]
24. Jayanthi, S. V., Balakrishnan, S., Ching, A. L. S., Latiff, N. A. A., & Nasirudeen, A. (2014). Factors contributing to Academic Performance of students in a tertiary institution in Singapore. American Journal of Educational Research, 2(9), 752-8. [DOI:10.12691/education-2-9-8] [DOI:10.12691/education-2-9-8]
25. Joy, S., Kaplan, E., & Fein, D. (2004). Speed and memory in the WAIS-III Digit Symbol: Coding subtest across the adult lifespan. Archives of Clinical Neuropsychology, 19(6), 759-67. [DOI:10.1016/j.acn.2003.09.009] [PMID] [DOI:10.1016/j.acn.2003.09.009]
26. Lan, X., Legare, C. H., Ponitz, C. C., Li, S., & Morrison, F. J. (2011). Investigating the links between the subcomponents of executive function and academic achievement: A cross-cultural analysis of Chinese and American preschoolers. Journal of Experimental Child Psychology, 108(3), 677-92. [DOI:10.1016/j.jecp.2010.11.001] [PMID] [DOI:10.1016/j.jecp.2010.11.001]
27. Lo, M. T., Chen, S. K., & Lin, S. S. (2017). Groups holding multiple achievement goals in the math classroom: Profile stability and cognitive and affective outcomes. Learning and Individual Differences, 57, 65-76. [DOI:10.1016/j.lindif.2017.06.001] [DOI:10.1016/j.lindif.2017.06.001]
28. Luong, C., Strobel, A., Wollschläger, R., Greiff, S., Vainikainen, M.-P., & Preckel, F. (2017). Need for cognition in children and adolescents: Behavioral correlates and relations to academic achievement and potential. Learning and Individual Differences, 53, 103-13. [DOI:10.1016/j.lindif.2016.10.019] [DOI:10.1016/j.lindif.2016.10.019]
29. Mangeot, S., Armstrong, K., Colvin, A. N., Yeates, K. O., & Taylor, H. G. (2002). Long-term executive function deficits in children with traumatic brain injuries: Assessment using the Behavior Rating Inventory of Executive Function (BRIEF). Child Neuropsychology, 8(4), 271-84. [DOI:10.1076/chin.] [PMID] [DOI:10.1076/chin.]
30. McAuley, T., Chen, S., Goos, L., Schachar, R., & Crosbie, J. (2010). Is the behavior rating inventory of executive function more strongly associated with measures of impairment or executive function. Journal of the International Neuropsychological Society, 16(3), 495-505. [DOI:10.1017/S1355617710000093] [PMID] [DOI:10.1017/S1355617710000093]
31. McCloskey, L. E. (2015). Mindfulness as an intervention for improving academic success among students with executive functioning disorders. Procedia-Social and Behavioral Sciences, 174, 221-6. [DOI:10.1016/j.sbspro.2015.01.650] [DOI:10.1016/j.sbspro.2015.01.650]
32. Moriguchi, Y., & Hiraki, K. (2013). Prefrontal cortex and executive function in young children: A review of NIRS studies. Frontiers in Human Neuroscience, 7(867), 1-9. [DOI:10.3389/fnhum.2013.00867] [PMID] [PMCID] [DOI:10.3389/fnhum.2013.00867]
33. Munro, B. A., Weyandt, L. L., Marraccini, M. E., & Oster, D. R. (2017). The relationship between nonmedical use of prescription stimulants, executive functioning and academic outcomes. Addictive Behaviors, 65, 250-7. [DOI:10.1016/j.addbeh.2016.08.023] [PMID] [DOI:10.1016/j.addbeh.2016.08.023]
34. Nesbitt, K. T., Baker-Ward, L., & Willoughby, M. T. (2013). Executive function mediates socio-economic and racial differences in early academic achievement. Early Childhood Research Quarterly, 28(4), 774-83. [DOI:10.1016/j.ecresq.2013.07.005] [DOI:10.1016/j.ecresq.2013.07.005]
35. Rodgers, J., Horrocks, J., Britton, P., & Kernahan, J. (1999). Attentional ability among survivors of leukaemia. Archives of Disease in Childhood, 80(4), 318-23. [DOI:10.1136/adc.80.4.318] [PMID] [PMCID] [DOI:10.1136/adc.80.4.318]
36. Toplak, M. E., West, R. F., & Stanovich, K. E. (2013). Practitioner Review: Do performance‐based measures and ratings of executive function assess the same construct. Journal of Child Psychology and Psychiatry, 54(2), 131-43. [DOI:10.1111/jcpp.12001] [PMID] [DOI:10.1111/jcpp.12001]
37. Vandenbroucke, L., Verschueren, K., & Baeyens, D. (2017). The development of executive functioning across the transition to first grade and its predictive value for academic achievement. Learning and Instruction, 49, 103-112. [DOI:10.1016/j.learninstruc.2016.12.008] [DOI:10.1016/j.learninstruc.2016.12.008]
38. Verdejo-Garcia, A., & Manning, V. (2015). Executive functioning in gambling disorder: Cognitive profiles and associations with clinical outcomes. Current Addiction Reports, 2(3), 214-9. [DOI:10.1007/s40429-015-0062-y] [DOI:10.1007/s40429-015-0062-y]

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