Big Data and Data Science: A Critical Review of Issues for Educational Research

Autor/in	Daniel, Ben Kei
Titel	Big Data and Data Science: A Critical Review of Issues for Educational Research
Quelle	In: British Journal of Educational Technology, 50 (2019) 1, S.101-113 (13 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0007-1013
Schlagwörter	Data; Educational Research; Information Utilization; Epistemology; Ethics; Privacy; Access to Computers; Disadvantaged; Expertise + Suchen Sie Ihr Suchwort? Daten; Bildungsforschung; Pädagogische Forschung; Informationsnutzung; Erkenntnistheorie; Ethik; Privatsphäre; Expert appraisal
Abstract	Big Data refers to large and disparate volumes of data generated by people, applications and machines. It is gaining increasing attention from a variety of domains, including education. What are the challenges of engaging with Big Data research in education? This paper identifies a wide range of critical issues that researchers need to consider when working with Big Data in education. The issues identified include diversity in the conception and meaning of Big Data in education, ontological, epistemological disparity, technical challenges, ethics and privacy, digital divide and digital dividend, lack of expertise and academic development opportunities to prepare educational researchers to leverage opportunities afforded by Big Data. The goal of this paper is to raise awareness on these issues and initiate a dialogue. The paper was inspired partly by insights drawn from the literature but mostly informed by experience researching into Big Data in education. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01