Dunn, Peter K. and Carey, Michael D. and Richardson, Alice M. and McDonald, Christine (2016) Learning the language of statistics: challenges and teaching approaches. Statistics Education Research Journal, 15 (1). pp. 8-27.
Abstract
Learning statistics requires learning the language of statistics. Statistics draws upon words from general English, mathematical English, discipline-specific English and words used primarily in statistics. This leads to many linguistic challenges in teaching statistics and the way in which the language is used in statistics creates an extra layer. This paper identifies many challenges in teaching statistics related to language and the use of language. Some implications for the effective learning and teaching of statistics are raised and methods to help students overcome these linguistic challenges are suggested.
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| Item Type: | Article (Commonwealth Reporting Category C) |
|---|---|
| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | Permanent restricted access to Published version, in accordance with the copyright policy of the publisher. |
| Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences (1 July 2013 - 5 Sept 2019) |
| Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences (1 July 2013 - 5 Sept 2019) |
| Date Deposited: | 06 Sep 2016 23:38 |
| Last Modified: | 07 Sep 2016 00:01 |
| Uncontrolled Keywords: | statistics education research, undergraduate students, discipline language, teaching practice |
| Fields of Research : | 13 Education > 1302 Curriculum and Pedagogy > 130299 Curriculum and Pedagogy not elsewhere classified 13 Education > 1303 Specialist Studies in Education > 130399 Specialist Studies in Education not elsewhere classified |
| Socio-Economic Objective: | E Expanding Knowledge > 97 Expanding Knowledge > 970101 Expanding Knowledge in the Mathematical Sciences |
| URI: | http://eprints.usq.edu.au/id/eprint/29679 |
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