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The combined and differential roles of working memory mechanisms in academic achievement.

机译:工作记忆机制在学业成就中的组合和差异作用。

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摘要

Generalized latent variable modeling was used to examine the relationship between working memory and academic achievement. The contributions of two working memory mechanisms that are involved in a wide variety of working memory tasks, namely short-term storage (STS) and generalized attention control (GAC) were examined. The contributions of two working memory mechanisms that are specific to two well-established measures of working memory (Digit Span and Letter-Number Sequencing), namely Backward Ordering (BO) and Mental Sorting (MS), were also examined. The contribution of these working memory mechanisms as a whole was additionally evaluated, and compared to the contribution of traditional measures of intelligence.;Mechanisms that are common across multiple working memory tasks (specifically, STS and GAC) were found to make an important contribution to both intelligence and achievement, while task-specific factors (BO and MS) were not. Furthermore, in this study the combined working memory factors were clearly better predictors of achievement than traditional measures of intelligence. At the same time, results of this study indicate that both of these traditional measures of intelligence make significant and unique contributions to academic achievement above and beyond those of the working memory factors.;The most unique aspect of this study was the examination of the relationship between independent latent working memory factors and a latent achievement factor. Unlike previous studies that did not differentiate between the role of storage and the role of attention control, this study was able to provide more precise information about the nature of working memory's contribution. Thus, it was possible to discern that the general factors of GAC and STS both made substantial unique contributions and that the contributions of the more specific mechanisms were much lesser. The theoretical and practical implications of these findings are discussed.
机译:广义潜变量模型被用来检验工作记忆与学业成就之间的关系。研究了涉及多种工作记忆任务的两种工作记忆机制的贡献,即短期存储(STS)和广义注意力控制(GAC)。还研究了两种工作记忆机制的贡献,这两种机制专门针对两种公认的工作记忆度量(数字跨度和字母数字排序),即向后排序(BO)和心理排序(MS)。整体上评估了这些工作记忆机制的整体作用,并将其与传统智力测评的作用进行了比较。;发现在多个工作记忆任务(特别是STS和GAC)中常见的机制对智力和成就,而特定任务因素(BO和MS)则不然。此外,在这项研究中,与传统的智力测验相比,合并的工作记忆因素显然是更好的业绩预测指标。同时,这项研究的结果表明,这些传统的智力测验都对工作成绩以外的学术成就做出了重要而独特的贡献。这项研究最独特的方面是对这种关系的研究在独立的潜在工作记忆因子和潜在成就因子之间。与先前的研究没有区分存储的作用和注意力控制的作用不同,本研究能够提供有关工作记忆贡献性质的更精确信息。因此,可以看出,GAC和STS的一般因素都做出了实质性的独特贡献,而更具体的机制的贡献要小得多。讨论了这些发现的理论和实践意义。

著录项

  • 作者

    Murray, Bronwyn.;

  • 作者单位

    Indiana University of Pennsylvania.;

  • 授予单位 Indiana University of Pennsylvania.;
  • 学科 Education Educational Psychology.;Psychology Cognitive.
  • 学位 Psy.D.
  • 年度 2010
  • 页码 89 p.
  • 总页数 89
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 宗教;
  • 关键词

  • 入库时间 2022-08-17 11:36:41

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