Academic analytics landscape at the University of Phoenix

Mike Sharkey
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引用次数: 22

Abstract

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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凤凰城大学的学术分析景观
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。
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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