凤凰城大学的学术分析景观

Proceedings of the 1st International Conference on Learning Analytics and Knowledge Pub Date : 2011-02-27 DOI:10.1145/2090116.2090135

Mike Sharkey

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引用次数: 22

摘要

凤凰城大学明白，为了服务于其庞大的非传统学生群体，它需要依靠数据。我们已经使用集成的数据存储库创建了一个强大的基础，该存储库连接了来自组织所有部分的数据。有了这个存储库，我们现在可以进行各种各样的分析项目。其中一个项目是尝试使用可用的数据指标(如时间表、成绩、内容使用情况和人口统计数据)来预测学生在其课程中的持久性。

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Academic analytics landscape at the University of Phoenix

The University of Phoenix understands that in order to serve its large population of non-traditional students, it needs to rely on data. We have created a strong foundation with an integrated data repository that connects data from all parts of the organization. With this repository in place, we can now undertake a variety of analytics projects. One such project is an attempt to predict a student's persistence in their program using available data indicators such as schedule, grades, content usage, and demographics.

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Proceedings of the 1st International Conference on Learning Analytics and Knowledge

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