Learning at Scale: Using an Evidence Hub To Make Sense of What We Know

Rebecca Ferguson
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引用次数: 3

Abstract

The large datasets produced by learning at scale, and the need for ways of dealing with high learner/educator ratios, mean that MOOCs and related environments are frequently used for the deployment and development of learning analytics. Despite the current proliferation of analytics, there is as yet relatively little hard evidence of their effectiveness. The Evidence Hub developed by the Learning Analytics Community Exchange (LACE) provides a way of collating and filtering the available evidence in order to support the use of analytics and to target future studies to fill the gaps in our knowledge.
大规模学习:使用证据中心来理解我们所知道的
大规模学习产生的大型数据集,以及对处理高学习者/教育者比例的方法的需求,意味着mooc和相关环境经常用于部署和开发学习分析。尽管目前分析学很流行,但证明其有效性的确凿证据相对较少。由学习分析社区交流(LACE)开发的证据中心提供了一种整理和过滤现有证据的方法,以支持分析的使用,并针对未来的研究填补我们的知识空白。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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