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

Stefaan Ternier, Maren Scheffel, Hendrik Drachsler

    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


    • Cloud storage
    • Dashboard
    • Learning analytics
    • Real time feedback
    • Visualisation
    • xAPI interfaces


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