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Frontiers of CyberlearningTowards a Cloud-Based Big Data Infrastructure for Higher Education Institutions

Frontiers of Cyberlearning: Towards a Cloud-Based Big Data Infrastructure for Higher Education... [This chapter reports about experiences gained in developing a learning analytics infrastructure for an ecosystem of different MOOC providers in Europe. These efforts originated in the European project ECO that aimed to develop a single-entry portal for various MOOC providers by developing shared technologies for these providers and distributing these technologies to the individual MOOC platforms of the project partners. The chapter presents a big data infrastructure that is able to handle learning activities from various sources and shows how the work in ECO led to a standardised approach for capturing learning analytics data according to the xAPI specification and storing them into cloud-based big data storage. The chapter begins with a definition of big data in higher education and thereafter describes the practical experiences gained from developing the learning analytics infrastructure.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Frontiers of CyberlearningTowards a Cloud-Based Big Data Infrastructure for Higher Education Institutions

Part of the Lecture Notes in Educational Technology Book Series
Editors: Spector, J. Michael; Kumar, Vivekanandan; Essa, Alfred; Huang, Yueh-Min; Koper, Rob; Tortorella, Richard A. W.; Chang, Ting-Wen; Li, Yanyan; Zhang, Zhizhen
Ternier, Stefaan; Scheffel, Maren; Drachsler, Hendrik
Frontiers of Cyberlearning — Nov 4, 2018
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References (16)

Publisher
Springer Singapore
Copyright
© Springer Nature Singapore Pte Ltd. 2018
ISBN
978-981-13-0649-5
Pages
177 –194
DOI
10.1007/978-981-13-0650-1_10
Publisher site
See Chapter on Publisher Site

Abstract

[This chapter reports about experiences gained in developing a learning analytics infrastructure for an ecosystem of different MOOC providers in Europe. These efforts originated in the European project ECO that aimed to develop a single-entry portal for various MOOC providers by developing shared technologies for these providers and distributing these technologies to the individual MOOC platforms of the project partners. The chapter presents a big data infrastructure that is able to handle learning activities from various sources and shows how the work in ECO led to a standardised approach for capturing learning analytics data according to the xAPI specification and storing them into cloud-based big data storage. The chapter begins with a definition of big data in higher education and thereafter describes the practical experiences gained from developing the learning analytics infrastructure.]

Published: Nov 4, 2018

Keywords: Cloud storage; Real time feedback; xAPI interfaces; Visualisation; Dashboard; Learning analytics

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