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


Ontology type: schema:Chapter     


Chapter Info

DATE

2018-11-04

AUTHORS

Stefaan Ternier , Maren Scheffel , Hendrik Drachsler

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. More... »

PAGES

177-194

Book

TITLE

Frontiers of Cyberlearning

ISBN

978-981-13-0649-5
978-981-13-0650-1

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-981-13-0650-1_10

DOI

http://dx.doi.org/10.1007/978-981-13-0650-1_10

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1108021879


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