Big Data Analytics for Higher Education in The Cloud Era

被引:0
|
作者
Al Hadwer, Ali [1 ]
Gillis, Dan [1 ]
Rezania, Davar [2 ]
机构
[1] Univ Guelph, Sch Comp Sci, Guelph, ON, Canada
[2] Univ Guelph, Coll Business & Econ, Guelph, ON, Canada
关键词
Big Data analytics; data analysis; business intelligence; cloud technology; enhanced education; higher education; EXPERIENCE; MANAGEMENT;
D O I
10.1109/icbda.2019.8713257
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Universities today possess large volumes of structured and unstructured data, generated from several educational and administrative processes and systems. This data forms what is known today as big data. The common challenge many universities face today is to find the most effective way to harness this data, visualize it and then optimize it for its purposes of continuously delivering enhanced education. While big data technologies require costly infrastructure and expertise for its life cycle management, there has been overwhelming success using Big Data Analytics (BDA) in the business sector for cost reduction and effectiveness. This provides the motivation to explore the use of BDA in the education sector to understand the opportunities it might provide to higher education. In this paper, we explore how data and analytics have been used so far in the higher education sector for enhanced learning or to support decisions, what opportunities and challenges surround BDA in this sector.
引用
收藏
页码:203 / 207
页数:5
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