A cognitive processing framework for learning analytics

Andrew Gibson, Kirsty Kitto, Jill Willis
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引用次数: 26

Abstract

Incorporating a learner's level of cognitive processing into Learning Analytics presents opportunities for obtaining rich data on the learning process. We propose a framework called COPA that provides a basis for mapping levels of cognitive operation into a learning analytics system. We utilise Bloom's taxonomy, a theoretically respected conceptualisation of cognitive processing, and apply it in a flexible structure that can be implemented incrementally and with varying degree of complexity within an educational organisation. We outline how the framework is applied, and its key benefits and limitations. Finally, we apply COPA to a University undergraduate unit, and demonstrate its utility in identifying key missing elements in the structure of the course.
学习分析的认知处理框架
将学习者的认知处理水平整合到学习分析中,为获得有关学习过程的丰富数据提供了机会。我们提出了一个名为COPA的框架,它为将认知操作的层次映射到学习分析系统中提供了基础。我们利用Bloom的分类法,这是一种理论上受人尊敬的认知处理概念化,并将其应用于一个灵活的结构中,该结构可以在教育组织中以不同程度的复杂性逐步实现。我们概述了如何应用该框架,以及它的主要优点和局限性。最后,我们将COPA应用于大学本科单元,并展示其在识别课程结构中关键缺失元素方面的效用。
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