心理发展与教育 ›› 2020, Vol. 36 ›› Issue (4): 394-405.doi: 10.16187/j.cnki.issn1001-4918.2020.04.02

• 认知与社会性发展 • 上一篇    下一篇

儿童青少年时期加工速度和执行功能在流体智力发展中的作用

韩燕1,3, 徐芬2   

  1. 1. 重庆理工大学重庆知识产权学院, 重庆 400054;
    2. 浙江理工大学心理学系, 杭州 310018;
    3. 北京师范大学认知神经科学与学习国家重点实验室, 北京 100875
  • 发布日期:2020-07-21
  • 通讯作者: 徐芬 E-mail:fenxu@zstu.edu.cn
  • 基金资助:
    国家社会科学基金青年项目(17CYY040):汉语发展性阅读障碍儿童青少年的执行功能干预研究。

The Role of the Processing Speed and Executive Function in the Development of Fluid Intelligence During Childhood and Adolescence

HAN Yan1,3, XU Fen2   

  1. 1. Department of Social Work, Chongqing Intellectual Property School, Chongqing University of Technology, Chongqing 400054;
    2. Department of Psychology, Zhejiang Sci-Tech University, Hangzhou 310018;
    3. National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875
  • Published:2020-07-21

摘要: 以7~15岁儿童青少年为研究对象,考察加工速度和执行功能对流体智力的影响。研究结果表明,随着年龄的增长,感觉运动加工速度、知觉加工速度对流体智力从具有直接影响到只通过执行功能中的记忆更新成分产生间接影响,但这种影响存在年龄间的差异。在童年中期(7~9岁),知觉加工速度对流体智力不仅具有直接的预测作用,还通过记忆更新对其产生间接的影响。童年晚期(10~12岁),感觉运动加工速度和知觉加工速度不再对流体智力具有直接预测作用,都是通过记忆更新和抑制/转换合成成分间接对流体智力起作用。青春期(13~15岁),知觉加工速度对流体智力只通过记忆更新产生间接影响。

关键词: 儿童青少年, 加工速度, 执行功能, 流体智力

Abstract: This study investigate the effects of processing speed and executive function on fluid intelligence in developmental perspective. The results showed that the effect of sensory and motor and perceptual processing speed on fluid intelligence was from direct to indirect via memory updating with increasing age, but there were differences among age groups. In the middle of childhood (7 to 9 years old), perceptual processing speed not only had direct effect on fluid intelligence, but also indirectly influence fluid intelligence via memory updating . In the late of childhood (10 to 12 years old), sensory-motor processing speed and perceptual processing speed only had indirect effect fluid intelligence via memory updating and inhibition/shifting factors. In adolescence (13 to 15years old), perceptual processing speed affected fluid intelligence indirectly through memory updating.

Key words: children and adolescent, processing speed, executive function, fluid intelligence

中图分类号: 

  • B844
Anderson, P. (2002). Assessment and development of executive function (EF) during childhood. Child Neuropsychology, 8(2), 71-82.
Anderson, M. (2001). Annotation: Conceptions of intelligence. Journal of Child Psychology and Psychiatry, 42(3),287-298.
Anderson, M. (2017). Binet's error: Developmental change and individual differences in intelligence are related to different mechanisms. Journal of Intelligence, 5(2), 24-40.
Brocki, K. C., & Bohlin, G. (2004). Executive functions in children aged 6 to 13: A dimensional and developmental study. Developmental Neuropsychology, 26(2), 571-593.
Brydges, C. R., Reid, C. L., Fox, A. M., & Anderson, M. (2012). A unitary executive function predicts intelligence in children. Intelligence, 40, 458-469.
Byrne, B. M. (1989). A primer of LISREL: Basic applications and programming for confirmatory factor analytic models. Springer-Verlag Publishing.
Carpenter, P. A., Just, M. A., & Shell, P. (1990). What one intelligence test measures: A theoretical account of the processing in the Raven Progressive Matrices Test. Psychological Review, 97, 404-431.
Carroll, J. B. (1989). Factor analysis since Spearman: Where do we stand? What do we know. Abilities, Motivation, and Methodology, 43-67.
Cattell, R. B. (1963). Theory of fluid and crystallized intelligence: A critical experiment. Journal of Educational Psychology, 54(1), 1.
Chen, T., & Li, D. (2007). The roles of working memory updating and processing speed in mediating age-related differences in fluid intelligence. Aging, Neuropsychology, and Cognition, 14(6), 631-646.
Clak C. A.C, Nelson J. M., Garza J., Sheffield T. D., Wiebe S.A., & Espy K. A. (2014). Gaining control: changing relations between executive control and processing speed and their relevance for mathematics achievement over course of the preschool period. Frontiers in Psychology, 61(1), 33-74.
Conway, A. R., Cowan, N., Bunting, M. F., Therriault, D. J., & Minkoff, S. R. (2002). A latent variable analysis of working memory capacity, short-term memory capacity, processing speed, and general fluid intelligence. Intelligence, 30(2), 163-183.
De Alwis, D., Hale, S., Myerson, J., (2014). Extended cascade models of age and individual differences in children’s fluid intelligence. Intelligence, 46, 84-93.
Delaloye, C., Moy, G., Baudois, S., De Bilbao, F., Dubois Remund, C., Hofer, F., et al. (2009). The contribution of aging to the understanding of the dimensionality of executive functions.Archives of Gerontology and Geriatrics, 49(1), 51-59.
Demetriou, A., Spanoudis, G., Shayer, M., Sanne, V. D. V., Brydges, C. R., Kroesbergen, E., et al. (2014). Relations between speed, working memory, and intelligence from preschool to adulthood: Structural equation modeling of 14 studies. Intelligence, 46, 107-121.
Dempster, F. N. (1991). Inhibitory processes: A neglected dimension of intelligence. Intelligence, 15, 157-173.
Duncan, J., & Owen, A. M. (2000). Common regions of the human frontal lobe recruited by diverse cognitive demands. Trends in Neurosciences, 23(10), 475-483.
Eigsti, I. M., Zayas, V., Mischel, W., Shoda, Y., Ayduk, O., Dadlani, M. B., et al. (2006). Predicting cognitive control from preschool to late adolescence and young adulthood. Psychological Science, 17(6), 478-484.
Fry, A. F., & Hale, S. (1996). Processing speed, working memory, and fluid intelligence: Evidence for a developmental cascade. Psychological Science, 7(4), 237-241.
Giedd, J.N., Blumenthal, J., Jeffries, N.O., Castellanos, F.X., Liu, H., Zijdenbos, A., et al. (1999).Brain development during childhood and adolescence: a longitudinal MRI study. Nature neuroscience, 2(10), 861-862.
Gizem, H., Nilam R., Sherry, L., Willis, K., Warner, S., & Denis, G. (2016). Cognitive Aging in the Seattle Longitudinal Study: Within-Person Associations of Primary Mental Abilities with Psychomotor Speed and Cognitive Flexibility. Journal of Intelligence, 4(3), 12.
Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, A. C., et al. (2004). Dynamic mapping of human cortical development during childhood through early adulthood. Proceedings of the National Academy of Sciences of the United States of America,101(21), 8174-8179.
Gray, J. R., Chabris, C. F., & Braver, T. S. (2003). Neural mechanisms of general fluid intelligence. Nature neuroscience, 6(3), 316-322.
Hackman, D.A. Gallop, R. Evans, G.W. Farah, M.J. (2015) Socieconomic status and executive function: developmental trajectories and mediation. Developmental Science, 18(5), 686-702.
Huizinga, M., Dolan, C. V., & van der Molen, M. W. (2006). Age-related change in executive function: Developmental trends and a latent variable analysis. Neuropsychologia, 44(11), 2017-2036.
Hu, L. T., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424.
Jaeggi, S. M., Buschkuehl, M., Jonides, J., & Perrig, W. J. (2008). Improving fluid intelligence with training on working memory. Proceedings of the National Academy of Sciences, 105(19), 6829-6833.
Kail, R. V., & Ferrer, E. (2007). Processing speed in childhood and adolescence: Longitudinal models for examining developmental change. Child Development, 78(6), 1760-1770.
Kail, R. V. (2007). Longitudinal evidence that increases in processing speed and working memory enhance children's reasoning. Psychological Science, 18(4), 312-313.
Kane, M.J., & Engle, R.W.(2002) The role of prefrontal cortex in working-memory capacity, executive attention, and general fluid intelligence: An individual-differences perspective. Psychonomic Bulletin & Review, 9(4),637-671.
Lee, K., Ng, S. F., Pe, M. L., Ang, S. Y., Hasshim, M. N. A. M., & Bull, R. (2012). The cognitive underpinnings of emerging mathematical skills: Executive functioning, patterns, numeracy, and arithmetic. British Journal of Educational Psychology, 82(1), 82-99.
Li, S. C., Lindenberger, U., Hommel, B., Aschersleben, G., Prinz, W., & Baltes, P. B. (2004). Transformations in the couplings among intellectual abilities and constituent cognitive processes across the life span. Psychological Science, 15(3), 155-163.
Liu, T., Xiao, T., Shi, J., & Zhao, L. (2011). Sensory gating, inhibition control and child intelligence: an event-related potentials study. Neuroscience, 189, 250-257.
Luna, B., Garver, K.E., Urban, T. A., Lazar, N. A., & Sweeney, J.A.(2004). Maturation of cognitive processes from late childhood to adulthood. Child Development, 75(5), 1357-1372.
Martínez, K., & Colom, R. (2009). Working memory capacity and processing efficiency predict fluid but not crystallized and spatial intelligence: Evidence supporting the neural noise hypothesis. Personality and Individual Differences, 46(3), 281-286.
McAuley, T., & White, D. A. (2011). A latent variables examination of processing speed, response inhibition, and working memory during typical development. Journal of Experimental Child Psychology,108(3), 453-468.
Miller, E. K., & Cohen, J. D. (2001). An integrative theory of prefrontal cortex function. Annual Review of Neuroscience, 24(1), 167-202.
Miller, L. T., & Vernon, P. A. (1996). Intelligence, reaction time, and working memory in 4-to 6-year-old children. Intelligence, 22(2), 155-190.
Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: A latent variable analysis. Cognitive Psychology, 41(1), 49-100.
Monsell, S. (2003). Task switching. Trends in Cognitive Sciences, 7(3), 134-140.
Nettelbeck, T., & Burns, N. R. (2010). Processing speed, working memory and reasoning ability from childhood to old age. Personality and Individual Differences, 48(4), 379-384.
Nigg, J. T. (2000). On inhibition/disinhibition in developmental psychopathology: views from cognitive and personality psychology and a working inhibition taxonomy. Psychological Bulletin, 126(2), 220-246.
Noble, K. G., McCandliss, B. D., & Farah, M. J. (2007). Socioeconomic gradients predict individual differences in neurocognitive abilities. Developmental Science, 10(4), 464-480.
Raven, J. Court, JH, & Raven, J. (1983). Manual for Raven’s Progressive Matrices and vocabulary scales, section 2. Coloured Progressive Matrices.
Rodríguez-Villagra, O. A., Göthe, K., Oberauer,K, & Kliegl, R. (2013). Working Memory Capacity in a Go/No-Go Task: Age Differences in Interference, Processing Speed, and Attentional Control. Developmental Psychology, 49(9), 683-1696.
Salthouse, T. A. (1996). The processing-speed theory of adult age differences in cognition. Psychological Review, 103(3), 403-427.
Shing YL, Lindenberger U, Diamond A, Li SC, & Davidson MC. (2010). Memory maintenance and inhibitory control differentiate from early childhood to adolescence. Developmental Neuropsychology 35(6), 679-697.
Smith, E. E., & Jonides, J. (1999). Storage and executive processes in the frontal lobes. Science, 283(5408), 1657-1661.
St Clair-Thompson, H. L., & Gathercole, S. E. (2006). Executive functions and achievements in school: Shifting, updating, inhibition, and working memory. The Quarterly Journal of Experimental Psychology, 59(4), 745-759.
Stevens, C. Lauinger,B. & Nevile, H.(2009). differences in the neural mechanisms of selective attention in children from different socioeconomic backgrounds: an event-reated brain potential study. Developmental Science, 12(4), 634-646.
Sternberg, R. J. (1988). The triarchic mind: A new theory of human intelligence. New York: Viking Penguin
Sternberg, R. J., & Gastel, J. (1989). Coping with novelty in human intelligence: An empirical investigation. Intelligence, 13(2), 187-197.
Tourva, A,Spanoudis,G, & Demetriou, A. (2016). Cognitive correlates of developing intelligence: The contribution of working memory, processing speed and attention. Intelligence, 54,136-146.
Urben, S., Linden, M. V., & Barisnikov, K. (2017). Development of the ability to inhibit a prepotent response: Influence of working memory and processing speed. British Journal of Developmental Psychology, 29(4),981-998.
Sluis, S. V. D., Jong, P. F. D., & Leij, A. U. D. (2007). Executive functioning in children, and its relations with reasoning, reading, and arithmetic. Intelligence, 35(5), 427-449.
Welsh, M. C., Pennington, B. F., & Groisser, D. B. (1991). A normative‐developmental study of executive function: A window on prefrontal function in children. Developmental Neuropsychology, 7(2), 131-149.
Xu, F., Han, Y., Sabbagh, M. A., Wang, T. F., Ren, X. Z., & Li, C. H.(2013). Developmental differences in the structure of executive function in middle childhood and adolescence. PLoS ONE, 8(10), e77770.
Zhao X, Chen. L, & Maes JH. (2018).Training and transfer effects of response inhibition training in children and adults. Developmental Science, 21(1), 1-12.
彭君,莫雷,黄平,周莹,王靖,昂晨.(2014).工作记忆训练提升幼儿流体智力表现.心理学报, 46(10), 1498-1508.
刘昌. (2004). 加工速度, 工作记忆与液态智力发展的关系. 心理学报, 36(04), 464-475.
赵鑫,王一雪,刘丹玮,周仁来.(2011). 工作记忆刷新训练对儿童流体智力的影响.科学通报, 56(17),1345-1348.
张厚粲, 王晓平. (1989). 瑞文标准推理能力测验在我国的修订. 心理学报, 21(2), 113-120.
邹枝玲, 施建农, 恽梅, 方平. (2003). 7岁超常和常态儿童的信息加工速度. 心理学报, 35(4), 527-534.
[1] 颜志强, 周可, 曾晓, 徐惠, 朱晓倩, 张娟. 学前期儿童执行功能与攻击性行为的关系:认知共情的中介作用[J]. 心理发展与教育, 2023, 39(6): 788-797.
[2] 刘钰, 苏彦捷, 曹春梅, 丁宇, 樊煜. 社区老年人执行功能和加工速度与运动能力的关系[J]. 心理发展与教育, 2022, 38(6): 769-777.
[3] 王颖, 朱海东, 张馨艺, 肖沿. 学龄前留守儿童亲子依恋对执行功能的影响:祖孙依恋的调节作用和中介作用[J]. 心理发展与教育, 2022, 38(2): 195-206.
[4] 白荣, 闫嵘, 王千, 李叶, 邢淑芬. 学前儿童执行功能与问题行为的关系:情境和性别的特异性[J]. 心理发展与教育, 2022, 38(1): 35-44.
[5] 任屹, 黄四林. 贫困损害儿童执行功能的作用机制[J]. 心理发展与教育, 2022, 38(1): 134-143.
[6] 王兴华, 洪慧芳, 朱瑞玲. 2~3岁幼儿执行功能与母子互动的关系:幼儿气质的调节作用[J]. 心理发展与教育, 2021, 37(6): 784-791.
[7] 占淑玮, 杨宁, 赵必华. 留守学前儿童接受性语言能力与社会退缩的关系:有调节的中介模型[J]. 心理发展与教育, 2021, 37(6): 834-844.
[8] 纪林芹, 张蒙, 董美慧, 潘斌, 张文新. 童年晚期至青少年早期攻击和同伴侵害的关系:交叉滞后研究[J]. 心理发展与教育, 2021, 37(5): 701-709.
[9] 慕德芳, 陈英和. 小学高年级学生元认知监测对认知操作输出的影响:执行功能的调节作用[J]. 心理发展与教育, 2021, 37(3): 305-312.
[10] 王静梅, 张义宾, 郑晨烨, 卢英俊, 秦金亮. 3~6岁儿童执行功能子成分发展的研究[J]. 心理发展与教育, 2019, 35(1): 1-10.
[11] 张羽, 李玮玮, 罗玉晗, 华销嫣, 王耘. 家庭社会经济地位与父母教养方式对儿童青少年公正世界信念的影响[J]. 心理发展与教育, 2017, 33(5): 513-523.
[12] 邓林园, 赵鑫钰, 方晓义. 离婚对儿童青少年心理发展的影响:父母冲突的重要作用[J]. 心理发展与教育, 2016, 32(2): 246-256.
[13] 田丽丽, 周欣, 康丹, 徐晶晶, 李正清. 5~6岁不同数学能力水平儿童的执行功能差异研究[J]. 心理发展与教育, 2016, 32(1): 9-16.
[14] 吴慧中, 王明怡. 2~3.5岁儿童执行功能发展特点及其言语能力的影响[J]. 心理发展与教育, 2015, 31(6): 654-660.
[15] 唐卫海, 安延佩, 王向梅, 梁福成, 刘希平. 儿童青少年协作促进的发展[J]. 心理发展与教育, 2015, 31(3): 296-302.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!