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Autor*innen: Ternier, Stefaan; Scheffel, Maren; Drachsler, Hendrik
Titel: Towards a cloud-based big data infrastructure for higher education institutions
Aus: Essa, Alfred; Spector, Michael; Huang, Yueh-Min; Tortorella, Richard; Koper, Rob; Chang, Ting-Wen; Kumar, Vivekanandan; Li, Yanyan; Zhang, Zhizhen (Hrsg.): Frontiers of cyberlearning: Emerging technologies for teaching and learning, Singapore: Springer, 2018 (Lecture Notes in Educational Technology), S. 177-194
DOI: 10.1007/978-981-13-0650-1_10
Dokumenttyp: 4. Beiträge in Sammelwerken; Sammelband (keine besondere Kategorie)
Sprache: Englisch
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. (DIPF/Orig.)
DIPF-Abteilung: Informationszentrum Bildung