Cognitive load and working memory: a system view of measurement

Q2 Social Sciences Learning: Research and Practice Pub Date : 2021-01-02 DOI:10.1080/23735082.2020.1830150
Rick L. Shearer, Junxiu Yu, Xinyun Peng
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引用次数: 1

Abstract

ABSTRACT Within the fields of learning design, instructional systems and educational psychology, cognitive load has been discussed and debated for a number of years. The impact of course designs on learning process is still questioned, and how we learn continues to be an intriguing question. The fields of working memory (WM) and cognitive load (CL) have strived to explore this question over the years. This paper proposes a systems model to explore the overlaps of these concepts. Different types of load feedback within the systems model are discussed. The proposed model is simplified by introducing the idea of active and distracted WM. The model is conceptualised through the lens of learners interacting with page designs while studying through an online distance programme. We present the concepts as a stock and flow diagram, with related equations. The model allows us to bridge WM and CL and forms the foundation for testing the three types of cognitive load and how they interact in our course designs.
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认知负荷与工作记忆:测量的系统观点
在学习设计、教学系统和教育心理学领域,认知负荷已经被讨论和争论了很多年。课程设计对学习过程的影响仍然存在疑问,我们如何学习仍然是一个有趣的问题。多年来,工作记忆(working memory, WM)和认知负荷(cognitive load, CL)领域一直在努力探索这个问题。本文提出了一个系统模型来探索这些概念的重叠。讨论了系统模型中不同类型的负载反馈。通过引入主动和分散WM的思想,对模型进行了简化。该模型是通过学习者在通过在线远程课程学习时与页面设计互动的镜头来概念化的。我们以库存和流程图的形式提出这些概念,并附有相关方程。该模型使我们能够连接WM和CL,并为测试三种类型的认知负荷以及它们如何在我们的课程设计中相互作用奠定了基础。
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来源期刊
Learning: Research and Practice
Learning: Research and Practice Social Sciences-Education
CiteScore
3.10
自引率
0.00%
发文量
16
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