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ERIC Number: EJ1162429
Record Type: Journal
Publication Date: 2017-Nov
Pages: 28
Abstractor: As Provided
ISSN: EISSN-1570-1824
Promoting Modeling and Covariational Reasoning among Secondary School Students in the Context of Big Data
Gil, Einat; Gibbs, Alison L.
Statistics Education Research Journal, v16 n2 p163-190 Nov 2017
In this study, we follow students' modeling and covariational reasoning in the context of learning about big data. A three-week unit was designed to allow 12th grade students in a mathematics course to explore big and mid-size data using concepts such as trend and scatter to describe the relationships between variables in multivariate settings. Students' emergent ideas were followed along a varied learning trajectory that included computer-supported collaborative and inquiry-based approaches, using visualization tools and statistical software to explore data and fit a suitable trend, and student presentations of investigations. Findings show progress in some components of students' reasoning and modeling of covariation, and indicate which features of the unit design might contribute to it.
International Association for Statistics Education and the International Statistical Institute. PO Box 24070, 2490 AB The Hague, The Netherlands. Tel: +31-70-3375737; Fax: +31-70-3860025; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Canada
Grant or Contract Numbers: N/A