高等教育中的学习分析

Rushil Raghavjee, P. Subramaniam, I. Govender
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引用次数: 1

摘要

众所周知,大数据已经渗透到生活的几个领域,如果不是所有的领域。在高等教育中,获取这些大量数据并将其处理成对学术决策有意义的东西的能力通常被称为学习分析。本章概述了学习分析及其重要性,以及识别学术数据源,用于学习分析和预测的技术,以及用于更好地理解和最终决策的分析的数据可视化技术。它还包括对研究的学习分析框架和一些确定的研究挑战的讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Learning Analytics in Higher Education
It is known that big data has penetrated several if not all spheres of life. In higher education, the ability to take these large amounts of data and process it into something meaningful for academic decision making is commonly referred to as learning analytics. This chapter provides an overview of learning analytics and its importance, as well as identifying academic data sources, techniques used for learning analytics and prediction, and data visualisation techniques used to present analysis for better understanding and eventual decision making. It also includes a discussion of learning analytics frameworks for research and some identified research challenges.
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