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Trends in CyberTurfing in the Era of Big Data Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Re-engineering Higher Education Learning and Teaching Business Processes for Big Data Analytics

Authors : Meena Jha, Sanjay Jha, Liam O’Brien

Published in: Business Information Systems

Publisher: Springer International Publishing

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Abstract

Big Data analytics need to be combined with higher education business processes to improve course structure and delivery to help students who have struggled to stay in the course by identifying their engagement and correlation with different variables such as access to documents; assignment submission etc. Online activity data can be used to keep students on track all the way to graduation and universities struggling to understand how to lower dropout rates and keep students on track during their study program. In this paper we discuss how Big Data analytics can be combined with higher education business processes using re-engineering for structured data, unstructured data, and external data. In order to achieve this objective, we investigate the core business processes of learning and teaching and define a re-engineered higher education business process model.

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Metadata
Title
Re-engineering Higher Education Learning and Teaching Business Processes for Big Data Analytics
Authors
Meena Jha
Sanjay Jha
Liam O’Brien
Copyright Year
2019
Book
Business Information Systems

Print ISBN: 978-3-030-20481-5

Electronic ISBN: 978-3-030-20482-2

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-20482-2_19

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