教育科学 ›› 2019, Vol. 35 ›› Issue (2): 72-77.

• 学前教育研究 • 上一篇    下一篇

深度学习对集体活动和区域活动中幼儿使用科学学习方式的影响*

徐慧芳   

  1. 北京教育学院 学前教育学院,北京 100009
  • 收稿日期:2019-01-18 出版日期:2019-03-15 发布日期:2021-06-30
  • 作者简介:徐慧芳(1978- ),女,江西上饶人,北京教育学院讲师,发展与教育心理学博士,主要从事儿童学习心理的研究。
  • 基金资助:
    *北京市教育科学“十三五”规划一般课题“低结构教育活动中幼儿学习方式的建构水平对幼儿创造性想象的影响”(CDEB18340)

The Influence of Deep Learning on Children’s Use of Scientific Learning Methods in Collective and Regional Activities

Xu Huifang   

  1. Faculty of Preschool Education, Beijing Institute of Education, Beijing 100009, China
  • Received:2019-01-18 Online:2019-03-15 Published:2021-06-30

摘要:

本研究观察了209名3—6岁幼儿在集体活动和区域活动中的科学学习过程,并记录幼儿在科学学习活动中所使用的学习方式的频次。结果发现,幼儿在集体活动中,较多采用倾听、模仿、回应性回答等学习方式,而在区域活动中,较多采用探究型操作和分工合作等学习方式。通过对幼儿园教师进行问卷调查,发现这些科学学习方式在深度学习水平上有差异,而不同教育活动类型与不同深度学习水平的学习方式之间存在显著交互作用,幼儿在集体活动中进行科学学习时倾向于浅层学习,而在区域活动中进行科学学习时倾向于深度学习。儿童的主动参与是引发儿童深度学习的关键变量。

关键词: 集体活动, 区域活动, 科学学习, 学习方式, 深度学习, 浅层学习

Abstract:

This study observed the scientific learning process of 209 children aged 3—6 in collective and regional activities, and recorded the frequency of learning methods used by children in scientific learning activities. The results showed that in collective activities, children preferred to use scientific learning methods such as listening, imitating, responding, while in regional activities, children were more likely to use scientific learning methods such as exploratory operation and cooperation. Through questionnaires among kindergarten teachers, it was found that there were differences in the level of deep learning among these scientific learning methods. And we also found a significant interaction between different types of educational activities and different levels of deep learning which indicated that children’s differences in methods using in collective and regional activities were influenced by the levels of deep learning. Children’s active participation is a key variable in triggering children’s deep learning.

Key words: collective activities, regional activities, scientific learning, learning method, deep learning, shallow learning

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