Longitudinal predictors of self-derivation through memory integration—A mechanism of knowledge accumulation

IF 1.8 2区 心理学 Q3 PSYCHOLOGY, DEVELOPMENTAL
Patricia J. Bauer , Katherine A. Lee , Jessica A. Dugan , Lucy M. Cronin-Golomb
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引用次数: 0

Abstract

Knowledge accumulates through direct instruction and as a consequence of productive memory processes. We report a longitudinal investigation of correlates of the specific productive process of self-derivation through memory integration, targeted because it is a compelling model of accumulation of semantic information. We sampled 148 children aged 8 to 12 years at enrollment. At each of two waves 1 year apart, children were tested on self-derivation through integration and on a battery of potential predictors thereof: cognitive abilities (recall of directly taught facts, verbal comprehension, visualization, visual–auditory learning, and working memory), educational experiences, and family socioeconomic status. Age-related variability was eclipsed by relatively stable individual variability. In both concurrent and longitudinal models, the only significant predictor of self-derivation was recall of directly taught facts. Together with prior research, the results suggest that self-derivation of new knowledge through integration is an individual trait not subsumed by general verbal and spatial skills.
通过记忆整合自我激励的纵向预测因素--知识积累的机制。
知识是通过直接教学积累起来的,也是生产性记忆过程的结果。我们报告了一项对通过记忆整合进行自我激励这一特定生产性过程相关因素的纵向调查,因为它是语义信息积累的一个令人信服的模型。我们对 148 名 8 至 12 岁的儿童进行了抽样调查。在相隔 1 年的两轮测试中,我们分别对儿童进行了通过整合进行自我激励的测试,并对其潜在的预测因素进行了一系列测试:认知能力(直接传授事实的回忆、言语理解、视觉化、视听学习和工作记忆)、教育经历和家庭社会经济状况。与年龄相关的变异性被相对稳定的个体变异性所掩盖。在并行和纵向模型中,自我激励的唯一重要预测因素是对直接教授的事实的回忆。结合之前的研究,这些结果表明,通过整合来自我激励新知识是一种个体特质,并不包含在一般的语言和空间技能中。
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来源期刊
CiteScore
4.50
自引率
7.70%
发文量
190
期刊介绍: The Journal of Experimental Child Psychology is an excellent source of information concerning all aspects of the development of children. It includes empirical psychological research on cognitive, social/emotional, and physical development. In addition, the journal periodically publishes Special Topic issues.
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