Towards a Cloud-Based Big Data Infrastructure for Higher Education Institutions

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review


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.
Original languageEnglish
Title of host publicationFrontiers of Cyberlearning
Subtitle of host publicationEmerging Technologies for Teaching and Learning
EditorsJ. Michael Spector, Vivekanandan Kumar, Alfred Essa, Yueh-Min Huang, Rob Koper, Richard A. W. Tortorella, Ting-Wen Chang, Yanyan Li, Zhizhen Zhang
Place of PublicationSingapore
PublisherSpringer Singapore
Number of pages18
ISBN (Electronic)9789811306501
ISBN (Print)9789811306495
Publication statusPublished - 4 Nov 2018

Publication series

SeriesLecture Notes in Educational Technology

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