Neopiagetian models and psychometric perspective of intelligence: Is there a convergence

被引:0
|
作者
de Ribaupierre, Anik [1 ]
机构
[1] Univ Geneva, Fac Psychol & Sci Educ, Ctr Interfacultaire & Sci Educ, CH-1205 Geneva, Switzerland
来源
ANNEE PSYCHOLOGIQUE | 2007年 / 107卷 / 02期
关键词
D O I
暂无
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
The objective of this paper is to provide a short, updated summary of the neopiagetian models of Pascual-Leone, Case, Fischer, Siegler, Halford et Demetriou. It is then argued that the propositions offered by these models are very close to those of other researchers interested in intelligence, such as researchers in lifespan developmental psychology, in psychometrics or in adult cognition (e.g., Engle or Cowan); in particular, they consider that working memory indexes attentional resources, that develop with age. Finally, two empirical examples are provided. The first one briefly reports results of a longitudinal study in which attentional capacity tasks as well as the Piagetian Balance task were administered to children, initially aged 5 to 10 years. In the second example, working memory tasks were given to children aged 8 to 12 years, together with the Raven's Matrices task. Both studies show that working memory, or attentional. capacity, accounts for most of the age-related variance in the cognitive tasks.
引用
收藏
页码:257 / 302
页数:46
相关论文
共 50 条
  • [1] NUMERICAL COGNITION - ON THE CONVERGENCE OF COMPONENTIAL AND PSYCHOMETRIC MODELS
    GEARY, DC
    WIDAMAN, KF
    INTELLIGENCE, 1992, 16 (01) : 47 - 80
  • [2] CONVERGENCE BETWEEN ATTENTION VARIABLES AND FACTORS OF PSYCHOMETRIC INTELLIGENCE IN OLDER ADULTS
    CORNELIUS, SW
    WILLIS, SL
    NESSELROADE, JR
    BALTES, PB
    INTELLIGENCE, 1983, 7 (03) : 253 - 269
  • [3] Foundation Models for Transportation Intelligence: ITS Convergence in TransVerse
    Zhao, Chen
    Dai, Xingyuan
    Lv, Yisheng
    Tian, Yonglin
    Ren, Yuhai
    Wang, Fei-Yue
    IEEE INTELLIGENT SYSTEMS, 2022, 37 (06) : 77 - 82
  • [4] Emotional intelligence and the intelligence of emotions: A developmental perspective on mixed EI models
    Arsenio, WF
    HUMAN DEVELOPMENT, 2003, 46 (2-3) : 97 - 103
  • [5] Evaluating competing models of the relationship between inspection time and psychometric intelligence
    Crawford, JR
    Deary, IJ
    Allan, KM
    Gustafsson, JE
    INTELLIGENCE, 1998, 26 (01) : 27 - 42
  • [6] Psychometric artificial intelligence
    Bringsjord, Selmer
    JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, 2011, 23 (03) : 271 - 277
  • [7] Business Intelligence Maturity Models: Information Management Perspective
    Thamir, Alaskar
    Theodoulidis, Babis
    INFORMATION AND SOFTWARE TECHNOLOGIES (ICIST 2013), 2013, 403 : 198 - 221
  • [8] Toward Explainable Artificial Intelligence for Regression Models A methodological perspective
    Letzgus, Simon
    Wagner, Patrick
    Lederer, Jonas
    Samek, Wojciech
    Mueller, Klaus-Robert
    Montavon, Gregoire
    IEEE SIGNAL PROCESSING MAGAZINE, 2022, 39 (04) : 40 - 58
  • [9] PIAGETIAN AND PSYCHOMETRIC CONCEPTIONS OF INTELLIGENCE
    ELKIND, D
    HARVARD EDUCATIONAL REVIEW, 1969, 39 (02) : 319 - 337
  • [10] Fluctuating asymmetry and psychometric intelligence
    Furlow, FB
    ArmijoPrewitt, T
    Gangestad, SW
    Thornhill, R
    PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 1997, 264 (1383) : 823 - 829