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Autor/inn/enCope, Bill; Kalantzis, Mary
TitelInterpreting Evidence-of-Learning: Educational Research in the Era of Big Data
QuelleIn: Open Review of Educational Research, 2 (2015) 1, S.218-239 (22 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN2326-5507
DOI10.1080/23265507.2015.1074870
SchlagwörterData Collection; Data Interpretation; Evidence; Educational Research; Educational Researchers; Evidence Based Practice; Recordkeeping; Computer Software; Research Methodology; Measurement; Mixed Methods Research; Randomized Controlled Trials; Causal Models; Information Dissemination; Standards; Alignment (Education); Semantics; Dictionaries; Vocabulary
AbstractIn this article, we argue that big data can offer new opportunities and roles for educational researchers. In the traditional model of evidence-gathering and interpretation in education, researchers are independent observers, who pre-emptively create instruments of measurement, and insert these into the educational process in specialized times and places (a pre-test or post-test, a survey, an interview, a focus group). The "big data" approach is to collect data through practice-integrated research. If a record is kept of everything that happens, then it is possible analyze what happened, "ex post facto." Data collection is embedded. It is on-the-fly and ever-present. With the relevant analysis and presentation software, the data is readable in the form of data reports, analytics dashboards and visualizations. We explore the methodological consequences of these developments for research methods. (As Provided).
AnmerkungenRoutledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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