Opportunities and challenges for big data analytics in US higher education

Mohsen Attaran, John B. Stark, Derek Stotler

Industry and Higher Education · 2018 · 82 citations · 11 references

Concepts

TL;DR

Higher education institutions have only recently begun to explore big data analytics, with limited progress in harnessing the rich data streams that could inform students, faculty, administrators, and the public. The article proposes a conceptual model for successfully implementing analytics in higher education. It examines the benefits and challenges of big data analytics in higher education, reviews key attributes of successful platforms, and outlines possible implementation pathways. The article highlights successful analytics implementations at several universities.

Abstract

Business leaders around the world are using emerging technologies to capitalize on data, to create business value and to compete effectively in a digitally driven world. They rely on data analytics to accelerate time to insight and to gain a better understanding of their customers’ needs and wants. However, big data and data analytics solutions in higher education are new topics. There has been limited progress in accumulating the extremely rich data that flow through higher education systems for the purpose of acquiring usable information for students, instructors, administrators and the public. The key objective of this article is to propose a conceptual model for the successful implementation of analytics in higher education. The article also examines some of the potential benefits of big data and analytics as applied to the world of higher education and explores implementation challenges that can be expected. Furthermore, the study reviews key attributes of successful analytics platforms and illustrates some of the routes that might be taken to implement these technologies in education. Finally, it highlights the successful implementation of analytics solutions in several universities.

References

11