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因果图式的构建:知识层面的学习机制

The construction of causal schemes: learning mechanisms at the knowledge level.

作者信息

diSessa Andrea A

机构信息

Graduate School of Education, University of California at Berkeley.

出版信息

Cogn Sci. 2014 Jun;38(5):795-850. doi: 10.1111/cogs.12131. Epub 2014 Jun 3.

Abstract

This work uses microgenetic study of classroom learning to illuminate (1) the role of pre-instructional student knowledge in the construction of normative scientific knowledge, and (2) the learning mechanisms that drive change. Three enactments of an instructional sequence designed to lead to a scientific understanding of thermal equilibration are used as data sources. Only data from a scaffolded student inquiry preceding introduction of a normative model were used. Hence, the study involves nearly autonomous student learning. In two classes, students developed stable and socially shared explanations ("causal schemes") for understanding thermal equilibration. One case resulted in a near-normative understanding, while the other resulted in a non-normative "alternative conception." The near-normative case seems to be a particularly clear example wherein the constructed causal scheme is a composition of previously documented naïve conceptions. Detailed prior description of these naive elements allows a much better than usual view of the corresponding details of change during construction of the new scheme. A list of candidate mechanisms that can account for observed change is presented. The non-normative construction seems also to be a composition, albeit of a different structural form, using a different (although similar) set of naïve elements. This article provides one of very few high-resolution process analyses showing the productive use of naïve knowledge in learning.

摘要

本研究采用课堂学习的微观发生学研究方法,以阐明:(1)教学前学生知识在规范性科学知识构建中的作用;(2)驱动变化的学习机制。我们将旨在引导学生对热平衡形成科学理解的教学序列的三次实施作为数据源。仅使用了在引入规范性模型之前的支架式学生探究数据。因此,本研究涉及近乎自主的学生学习。在两个班级中,学生们针对热平衡的理解形成了稳定且为社会所共享的解释(“因果图式”)。一个案例产生了近乎规范性的理解,而另一个案例则产生了非规范性的“替代性概念”。近乎规范性的案例似乎是一个特别清晰的例子,其中构建的因果图式是先前记录的朴素概念的组合。对这些朴素元素的详细先前描述,使得我们能够比平常更好地观察新图式构建过程中相应变化的细节。本文列出了一系列能够解释所观察到的变化的候选机制。非规范性构建似乎也是一种组合,尽管结构形式不同,使用的是一组不同(尽管相似)的朴素元素。本文提供了极少数高分辨率的过程分析之一,展示了朴素知识在学习中的有效运用。

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