Bauer Patricia J
Emory University.
Child Dev Perspect. 2021 Dec;15(4):220-227. doi: 10.1111/cdep.12430. Epub 2021 Aug 24.
Accumulating information and knowledge is a major task of development. A common assumption is that we build our storehouse of world knowledge, our semantic memory, through direct experience. Although direct experience is involved, to explain fully how we know all that we know, we also must consider processes that allow for integration of information learned in separate yet related episodes of direct learning, as well as inferential processes that operate over integrated representations and permit productive extension of knowledge. In this article, I describe the self-derivation through integration paradigm my colleagues and I developed to model these processes. Using this paradigm, we charted individual and developmental variability throughout childhood and in young adults. Several findings support the contention that the self-derivation through integration paradigm provides a valid model for how we build semantic knowledge, including the observations that performance on the task correlates with and predicts individuals' world knowledge and academic success.
积累信息和知识是发展的一项主要任务。一个普遍的假设是,我们通过直接经验构建我们的世界知识宝库,即语义记忆。虽然直接经验确实存在,但要全面解释我们如何知晓我们所知道的一切,我们还必须考虑那些能够整合在不同但相关的直接学习片段中学到的信息的过程,以及那些作用于整合表征并允许知识进行有效扩展的推理过程。在本文中,我描述了我和同事们为模拟这些过程而开发的“通过整合实现自我推导”范式。使用这个范式,我们描绘了儿童期和青年期的个体差异和发展变化。几项研究结果支持了这样的观点,即“通过整合实现自我推导”范式为我们构建语义知识的方式提供了一个有效的模型,包括任务表现与个体的世界知识及学业成就相关并能对其进行预测的观察结果。