Scientific Thinking in Young Children: Theoretical Advances, Empirical Research, and Policy Implications

被引:185
作者
Gopnik, Alison [1 ]
机构
[1] Univ Calif Berkeley, Dept Psychol, Berkeley, CA 94720 USA
关键词
PRESCHOOLERS CAUSAL INFERENCES; COGNITIVE-DEVELOPMENT; PROBABILISTIC MODELS; 8-MONTH-OLD INFANTS; PLAY; INTERVENTIONS; STATISTICS;
D O I
10.1126/science.1223416
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
New theoretical ideas and empirical research show that very young children's learning and thinking are strikingly similar to much learning and thinking in science. Preschoolers test hypotheses against data and make causal inferences; they learn from statistics and informal experimentation, and from watching and listening to others. The mathematical framework of probabilistic models and Bayesian inference can describe this learning in precise ways. These discoveries have implications for early childhood education and policy. In particular, they suggest both that early childhood experience is extremely important and that the trend toward more structured and academic early childhood programs is misguided.
引用
收藏
页码:1623 / 1627
页数:5
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