在高等教育中支持成人学习者的数据分析和可视化

S. Chong, Yew Haur Lee, Yoke Wah Tang
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引用次数: 2

摘要

高等教育可以使用数据分析来更深入地了解学习者及其学习情况。随着数据分析的使用变得越来越普遍,教育工作者通常不仅需要理解分析,还需要在教学上赋予意义,以更好地支持学习者和学习。本文讨论了在高等教育成人学习者中使用学习分析和数据可视化的有针对性的学习者支持和干预的概念和实施。主要目标是以视觉指标的形式利用学习者的指标,对学习的各个方面进行概述,以便高等教育机构可以对其成人学习者进行分析,并通过定制的咨询和干预方法预测他们的需求。学习者指标呈现在两个不同的仪表板中,应用描述性和预测性分析,以提供更深入的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Analytics and Visualization to Support the Adult Learner in Higher Education
Data analytics can be used by higher education to have a deeper understanding of the learners and their learning. As the use of data analytics become more common, educators are often required not only to make sense of the analytics, but also make meaning pedagogically to better support the learner and the learning. This paper discusses the conceptualization and implementation of targeted learner support and intervention with the use of learning analytics and data visualization for the adult learner in higher education. The key objective is to leverage on learners’ metrics in a format with visual indicators that give an overview of various aspects of the learning so that higher education institutions can profile their adult learners and anticipate their needs with customized advisories and intervention approaches. The learner metrics is presented in two different dashboards, applying both descriptive and predictive analytics, to provide deeper insights.
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