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An account of the relationship between fluid intelligence and complex learning in considering storage capacity and executive attention

机译:考虑存储容量和管理人员注意力时,流体智能与复杂学习之间的关系

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摘要

Although fluid intelligence and complex learning are conceptualized differently and assessed by apparently different measures, both theoretical accounts and empirical evidence suggest a relationship between the two constructs. In this study, major working memory aspects including the storage capacity and executive attention were proposed to account for the relationship between fluid intelligence and complex learning. A sample of 184 participants completed fluid intelligence and complex learning scales, as well as working memory measures that each included two or three treatment levels differing in the demands on capacity or executive control. The differences among the treatment levels provided a favorable precondition for employing fixed-links models to separate the core processes of storage capacity or executive attention from the auxiliary processes. Results indicated that both storage capacity and executive attention contributed significantly to fluid intelligence and complex learning. A further analysis showed that the two working memory aspects, particularly the storage capacity, accounted for most of the shared variance between fluid intelligence and complex learning.
机译:尽管流体智力和复杂学习的概念不同,并且通过明显不同的方法进行评估,但理论解释和经验证据均表明这两种结构之间存在关联。在这项研究中,主要的工作记忆方面,包括存储能力和执行注意力,被提出来说明流体智力与复杂学习之间的关系。 184名参与者的样本完成了流体智力和复杂的学习量表,以及工作记忆量度,每个量度包括对能力或执行控制的要求不同的两个或三个治疗水平。处理级别之间的差异为采用固定链接模型将核心存储容量过程或执行人员注意与辅助过程分开提供了有利的前提。结果表明,存储容量和执行人员的注意力都对流体智能和复杂的学习做出了重要贡献。进一步的分析表明,工作记忆的两个方面,特别是存储容量,是流体智能和复杂学习之间共享差异的大部分。

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