University of Tasmania
Browse

File(s) under permanent embargo

Where's your evidence? Challenging young students' equiprobability bias through argumentation

conference contribution
posted on 2023-05-23, 09:19 authored by Fielding-Wells, J
Students come to formal schooling with prior probabilistic conceptions developed through informal experiential events. One such concept is that of chance outcomes being inherently equiprobable, even when not the case. In the design-based research described here, a class of 3rd Grade students was posed an inquiry problem embedded with non-equiprobable outcomes: What is the best addition bingo card? Argumentation was employed as a pedagogic approach to challenging students’ equiprobable beliefs, with students supported to develop an evidence-based argument in response. Students initially experienced conflict with the realisation of unequal frequencies, then developed representations to act as theoretical evidence. A shift from conceptualizing equiprobable outcomes towards responses reflecting theoretical distribution was observed. This exploratory research suggests potential for an evidentiary focus to challenge probabilistic conceptions.

History

Publication title

Proceedings of the 9th International Conference on Teaching Statistics

Editors

K. Makar, B. de Sousa & R. Gould

Pagination

1-6

Department/School

Faculty of Education

Publisher

International Association for Statistical Education & International Statistics Institute (IASE/ISI)

Place of publication

United States

Event title

The 9th International Conference on Teaching Statistics

Event Venue

Flagstaff, Arizona, USA

Date of Event (Start Date)

2014-07-13

Date of Event (End Date)

2014-07-18

Rights statement

Copyright 2014 International Statistical Institute (ISI) & International Association for Statistical Education (IASE)

Repository Status

  • Restricted

Socio-economic Objectives

Pedagogy

Usage metrics

    University Of Tasmania

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC