The Role of a Reference Synthetic Data Generator within the Field of Learning Analytics

Autor/inn/en	Berg, Alan M.; Mol, Stefan T.; Kismihók, Gábor; Sclater, Niall
Titel	The Role of a Reference Synthetic Data Generator within the Field of Learning Analytics
Quelle	In: Journal of Learning Analytics, 3 (2016) 1, S.107-128 (22 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1929-7750
Schlagwörter	Educational Research; Data Collection; Data Analysis; Higher Education; Foreign Countries; Literature Reviews; Simulation; Information Management; Integrated Learning Systems; Educational Technology; Technology Uses in Education; Netherlands (Amsterdam) + Suchen Sie Ihr Suchwort? Bildungsforschung; Pädagogische Forschung; Data capture; Datensammlung; Auswertung; Hochschulbildung; Hochschulsystem; Hochschulwesen; Ausland; Simulation program; Simulationsprogramm; Procurement of information; Informationsbeschaffung; Unterrichtsmedien; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen
Abstract	This paper details the anticipated impact of synthetic "big" data on learning analytics (LA) infrastructures, with a particular focus on data governance, the acceleration of service development, and the benchmarking of predictive models. By reviewing two cases, one at the sector-wide level (the Jisc learning analytics architecture) and the other at the institutional level (the UvAInform learning analytics project at the University of Amsterdam), we explore the need for an on-demand tool for generating a wide range of synthetic data. We argue that the application of synthetic data will not only accelerate the creation of complex and layered learning analytics infrastructure, but will also help to address the ethical and privacy risks involved during service development. (As Provided).
Anmerkungen	Society for Learning Analytics Research. 121 Pointe Marsan, Beaumont, AB T4X 0A2, Canada. Tel: +61-429-920-838; e-mail: info@solaresearch.org; Web site: http://learning-analytics.info/journals/index.php/JLA/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01