听障儿童抑制控制能力特点及其与数学基本能力的关系

摘要/Abstract

摘要： 采用Flanker实验范式与中国小学生数学基本能力测试量表，以97名听障儿童与97名健听儿童为被试，考察听障儿童抑制控制能力与其数学基本能力的关系。结果发现：（1）听障儿童抑制控制能力水平显著低于健听儿童；（2）听障儿童数学基本能力显著低于健听儿童；（3）听障儿童抑制控制能力与数学基本能力之间相关显著，且抑制控制能力能够预测听障儿童的逻辑思维与空间–视觉能力。

关键词: 听障儿童, 数学基本能力, 抑制控制

Abstract: In the present study, the Flanker paradigm and the Chinese elementary rating scale of pupils’ basic mathematical abilities were used to investigate the performance of inhibitory control and mathematical ability of 97 children-with-hearing loss (CHL) and 97 children-with-normal hearing (CNH), with the purpose of exploring the influence of inhibitory control of CHL on mathematics ability. The results showed that: 1) the inhibitory control of CHL was significantly lower than CNH; 2) the score of CHL was significantly lower than CNH in mathematical ability test; 3) the inhibitory control of CHL was significantly correlated with mathematics ability, and the inhibitory control ability could predict the logical thinking and the spatial vision ability of CHL.

Key words: children-with-hearing loss, mathematics ability, inhibition control

中图分类号:

B844

曾桐奥, 卜晓鸥, 王庭照, 马海林. 听障儿童抑制控制能力特点及其与数学基本能力的关系[J]. 心理与行为研究, 2020, 18(4): 517-523.

ZENG Tongao, BU Xiaoou, WANG Tingzhao, MA Hailin. Characteristics of Inhibition Control and Its Relation with Mathematics Ability in Children with Hearing Loss[J]. Studies of Psychology and Behavior, 2020, 18(4): 517-523.

参考文献

陈陈. (2017). 儿童符号数量加工能力发展的性别差异(硕士学位论文). 浙江大学, 杭州.
焦彩珍. (2014). 初中数学学习困难学生认知灵活性的实验研究. 数学教育学报, 23(3), 64-67
雷江华, 方俊明. (2016). 特殊教育学 (第2版). 北京: 北京大学出版社.
李丽. (2005). 小学生基本数学能力发展水平研究(博士学位论文). 华中科技大学, 武汉.
李一员, 吴睿明, 胡兴旺, 李红, Zelazo, P. D. (2006). 聋童执行功能发展: 聋童与正常儿童的比较. 心理学报, 38(3), 356-364
罗江洪, 王晶, 吴汉荣. (2007). 聋哑儿童数学能力分析. 中国儿童保健杂志, 15(5), 463-464, doi: 10.3969/j.issn.1008-6579.2007.05.007
魏勇刚, 庞丽娟. (2007). 儿童数学认知障碍的执行功能解释. 中国特殊教育, (7), 57-60, doi: 10.3969/j.issn.1007-3728.2007.07.012
胥兴春, 刘电芝. (2005). 数学学习障碍儿童问题解决的表征研究. 心理科学, 28(1), 186-188, doi: 10.3969/j.issn.1671-6981.2005.01.052
朱文来. (2014). 7-12岁聋生执行功能的发展特点(硕士学位论文). 河南大学, 开封.
Aron, A. R., Durston, S., Eagle, D. M., Logan, G. D., Stinear C. M., & Stuphorn, V. (2007). Converging evidence for a fronto-basal-ganglia network for inhibitory control of action and cognition. The Journal of Neuroscience, 27(44), 11860-11864, doi: 10.1523/JNEUROSCI.3644-07.2007.
Bull, R., Marschark, M., Nordmann, E., Sapere, P., & Skene, W. A. (2018). The approximate number system and domain-general abilities as predictors of math ability in children with normal hearing and hearing loss. The British Journal of Developmental Psychology, 36(2), 236-254, doi: 10.1111/bjdp.12204.
Bull, R., & Scerif, G. (2001). Executive functioning as a predictor of children’s mathematics ability: Inhibition, switching, and working memory. Developmental Neuropsychology, 19(3), 273-293, doi: 10.1207/S15326942DN1903_3.
Butterworth, B., Varma, S., & Laurillard, D. (2011). Dyscalculia: From brain to education. Science, 332(6033), 1049-1053, doi: 10.1126/science.1201536.
Dempster, F. N. (1992). The rise and fall of the inhibitory mechanism: Toward a unified theory of cognitive development and aging. Developmental Review, 12(1), 45-75, doi: 10.1016/0273-2297(92)90003-K.
Espy, K. A., McDiarmid, M. M., Cwik, M. F., Stalets, M. M., Hamby, A., & Senn, T. E. (2004). The contribution of executive functions to emergent mathematic skills in preschool children. Developmental Neuropsychology, 26(1), 465-486, doi: 10.1207/s15326942dn2601_6.
Ettinger, U., Ffytche, D. H., Kumari, V., Kathmann, N., Reuter, B., Zelaya, F., & Williams, S. C. R. (2008). Decomposing the neural correlates of antisaccade eye movements using event-related FMRI. Cerebral Cortex, 18(5), 1148-1159, doi: 10.1093/cercor/bhm147.
Figueras, B., Edwards, L., & Langdon, D. (2008). Executive function and language in deaf children. Journal of Deaf Studies and Deaf Education, 13(3), 362-377, doi: 10.1093/deafed/enm067.
Frazier-Wood, A. C., Bralten, J., Arias-Vasquez, A., Luman, M., Ooterlaan, J., Sergeant, J., … Rommelse, N. N. J. (2012). Neuropsychological intra-individual variability explains unique genetic variance of ADHD and shows suggestive linkage to chromosomes 12, 13, and 17. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 159B(2), 131-140, doi: 10.1002/ajmg.b.32018.
Hintermair, M. (2013). Executive functions and behavioral problems in deaf and hard-of-hearing students at general and special schools. Journal of Deaf Studies and Deaf Education, 18(3), 344-359, doi: 10.1093/deafed/ent003.
Koontz, K. L. (1996). Identifying simple numerical stimuli: Processing inefficiencies exhibited by arithmetic learning disabled children. Mathematical Cognition, 2(1), 1-24, doi: 10.1080/135467996387525.
Luckner, J. L., & Cooke, C. (2010). A summary of the vocabulary research with students who are deaf or hard of hearing. American Annals of the Deaf, 155(1), 38-67, doi: 10.1353/aad.0.0129.
MacDonald, S. W. S., Li, S. C., & Bäckman, L. (2009). Neural underpinnings of within-person variability in cognitive functioning. Psychology and Aging, 24(4), 792-808, doi: 10.1037/a0017798.
MacDonald, S. W. S., Nyberg, L., & Bäckman, L. (2006). Intra-individual variability in behavior: Links to brain structure, neurotransmission and neuronal activity. Trends in Neurosciences, 29(8), 474-480, doi: 10.1016/j.tins.2006.06.011.
Miller, M. R., Müller, U., Giesbrecht, G. F., Carpendale, J. I., & Kerns, K. A. (2013). The contribution of executive function and social understanding to preschoolers’ letter and math skills. Cognitive Development, 28(4), 331-349, doi: 10.1016/j.cogdev.2012.10.005.
Moore, R. D, Wu, C. T., Pontifex, M. B., O’Leary, K. C., Scudder, M. R., Raine, L. B., … Hillman, C. H. (2013). Aerobic fitness and intra-individual variability of neurocognition in preadolescent children. Brain and Cognition, 82(1), 43-57, doi: 10.1016/j.bandc.2013.02.006.
Nieder, A., Freedman, D. J., & Miller, E. K. (2002). Representation of the quantity of visual items in the primate prefrontal cortex. Science, 297(5587), 1708-1711, doi: 10.1126/science.1072493.
Pagliaro, C. M., & Kritzer, K. L. (2010). Learning to learn: An analysis of early learning behaviours demonstrated by young deaf/hard-of-hearing children with high/low mathematics ability. Deafness and Education International, 12(2), 54-76, doi: 10.1179/146431510X12626982043723.
Pansky, A., & Algom, D. (1999). Stroop and garner effects in comparative judgment of numerals: The role of attention. Journal of Experimental Psychology: Human Perception and Performance, 25(1), 39-58, doi: 10.1037/0096-1523.25.1.39.
Passolunghi, M. C., & Siegel, L. S. (2001). Short-term memory, working memory, and inhibitory control in children with difficulties in arithmetic problem solving. Journal of Experimental Child Psychology, 80(1), 44-57, doi: 10.1006/jecp.2000.2626.
Quittner, A. L., Glueckauf, R. L., & Jackson, D. N. (1990). Chronic parenting stress: Moderating versus mediating effects of social support. Journal of Personality and Social Psychology, 59(6), 1266-1278, doi: 10.1037/0022-3514.59.6.1266.
Reivich, R. S., & Rothrock, I. A. (1972). Behavior problems of deaf children and adolescents: A factor-analytic study. Journal of Speech and Hearing Research, 15(1), 93-104, doi: 10.1044/jshr.1501.93.
Sawamura, H., Shima, K., & Tanji, J. (2002). Numerical representation for action in the parietal cortex of the monkey. Nature, 415(6874), 918-922, doi: 10.1038/415918a.
Swanson, H. L., Jerman, O., & Zheng, X. H. (2008). Growth in working memory and mathematical problem solving in children at risk and not at risk for serious math difficulties. Journal of Educational Psychology, 100(2), 343-379, doi: 10.1037/0022-0663.100.2.343.
Titus, J. C. (1995). The concept of fractional number among deaf and hard of hearing students. American Annals of the Deaf, 140(3), 255-262, doi: 10.1353/aad.2012.0582.
Traxler, C. B. (2000). The Stanford Achievement Test, 9th Edition: National norming and performance standards for deaf and hard-of-hearing students. Journal of Deaf Studies and Deaf Education, 5(4), 337-348, doi: 10.1093/deafed/5.4.337.
Wolff, A. B., & Thatcher, R. W. (1990). Cortical reorganization in deaf children. Journal of Clinical and Experimental Neuropsychology, 12(2), 209-221, doi: 10.1080/01688639008400968.
Wood, H. A., Wood, D. J., Kingsmill, M. C., French, J. R. W., & Howarth, S. P. (1984). The mathematical achievements of deaf children from different educational environments. British Journal of Educational Psychology, 54(3), 254-264, doi: 10.1111/j.2044-8279.1984.tb02589.x.

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