Reading between the Lines: Revealing and Resisting the 'Hidden' Gender Bias in Math Story Problems
General Material Designation
[Thesis]
First Statement of Responsibility
Gorsky, Gabriella Silva
Subsequent Statement of Responsibility
Li, Min
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
University of Washington
Date of Publication, Distribution, etc.
2019
GENERAL NOTES
Text of Note
160 p.
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
Ph.D.
Body granting the degree
University of Washington
Text preceding or following the note
2019
SUMMARY OR ABSTRACT
Text of Note
Educational testing has a long and complicated history in the United States. Currently, state- and district-level assessment systems shape the educational process in a number of ways, from curricular design to teacher evaluation to funding allocation (Au, 2007, 2011; Condie, Lefgren, & Sims, 2014; Harris, 2012; Madaus & Clarke, 2001; Medina & Neill, 1990; Sass, Semykina, & Harris, 2014). This work explores tests as both a measure of and a mechanism in the maintenance and spread of inequity. In the first study, 'gold-standard' math story problems are qualitatively coded by three reviewers for the presence of gender bias and stereotypes to reveal patterns in representation of gender. In the second study, a text classifier is developed to parse math story problems by gender and activity. The final piece presents math teacher reflections on making math and math assessment more equitable for students and offers a framework and resources for creating, modifying, and discussing problematic test questions with colleagues and students. The three papers together begin a discussion regarding the goals and impacts of culturally embedded assessment and challenge many of the assumptions made in past and current research about gender differences in math, what makes assessment equitable, and how we can move forward towards academic justice.