Literaturnachweis - Detailanzeige
Autor/in | Williamson, Ben |
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Titel | Big Data in education. The digital future of learning, policy and practice. First published. |
Quelle | Los Angeles; London; New Delhi; Singapore; Washington DC; Melbourne: SAGE (2017), xvi, 236 S. |
Zusatzinformation | Inhaltsverzeichnis |
Sprache | englisch |
Dokumenttyp | gedruckt; Monographie |
ISBN | 978-1-47394-799-3; 978-1-47394-800-6 |
Schlagwörter | Bildung; Forschung; Methode; Gesellschaft; Künstliche Intelligenz; Bildungspolitik; Schule; Schüler; Lernen; Programmierung; Neurowissenschaften; Algorithmus; Datenanalyse; Digitalisierung; Technologie; Sozialwissenschaften; Analyse; Daten; Organisation; Rechenschaftslegung; Datenverarbeitung; Information; Informationstechnologie |
Abstract | Big data has the power to transform education and educational research. Governments, researchers and commercial companies are only beginning to understand the potential that big data offers in informing policy ideas, contributing to the development of new educational tools and innovative ways of conducting research. [This] overview explores the current state-of-play, looking at big data and the related topic of computer code to examine the implications for education and schooling for today and the near future. Key topics include: The role of learning analytics and educational data science in schools; a critical appreciation of code, algorithms and infrastructures; the rise of 'cognitive classrooms', and the practical application of computational algorithms to learning environments; important digital research methods issues for researchers. (DIPF/Orig.). |
Erfasst von | DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main |
Update | 2018/3 |