The Stories We Tell: Math, Race, Bias, and Opportunity
By (Author) Valerie N. Faulkner
By (author) Patricia L. Marshall
By (author) Lee V. Stiff
Bloomsbury Publishing PLC
Rowman & Littlefield Publishers
29th August 2019
United States
Professional and Scholarly
Non Fiction
Education / Educational sciences / Pedagogy
Decision theory: general
Teaching of a specific subject
Educational: Mathematics and numeracy
370.890973
Paperback
160
Width 152mm, Height 231mm, Spine 9mm
236g
The Stories We Tell: Math, Race, Bias, & Opportunity positions educators as professional decision-makers whose every day choices are deeply consequential. After exploring topics ranging from the early identification of talent, the use of demographic characteristics to make academic decisions, and the problematic casting of a gap in mathematical performance as about the students themselves, the book explores how professional decision making, and a more precise use of data, can impact mathematical performance outcomes. With gentle precision, the book analyzes the patterns of practice in place as educators sort children according to perceived needs. Through case studies, the authors reconfigure the mathematics achievement gap as being about opportunity provided or denied at both the classroom and systemic levels. The book has implications for school personnel as well as others curious about how opportunity impacts outcomes and how data is (or is not) used to make decisions about children. Educators who challenge themselves to engage with the possibility of bias, and then face the stories we tell ourselves about the race/talent development/student merit relationship, will have the opportunity to write a powerful and equitable story going forward.
This thoughtful and carefully organized book draws on a rich network of evidence to demonstrate the harm done when students are placed in academic courses based on demographic data. Using numerous examples, authors Faulkner, Marshall, and Stiff (all, North Carolina State Univ.) demonstrate clearly that when well-meaning education professionals rely on their perceptions of student ability, achievement gaps are reinforced. They make a compelling case for the use of objective data to place students in courses designed to help them succeed, while also discussing the limitations of objective data. Addressing confirmation bias, confabulation, and other problematic behaviors, they offer practical solutions to overcome these obstacles. Overall, the book uses sources efficiently and employs them in a way that would not be overwhelming to undergraduates or in-service teachers. The discussion questions at the end of the book, organized by chapter, make this an excellent text for undergraduate methods-of-teaching courses, professional learning communities, and professional development for in-service teachers. The thorough reference list also makes this an excellent text for graduate study.
Summing Up: Recommended. Lower-division undergraduates through graduate students; professionals
Dr. Valerie N. Faulkner is a Teaching Associate Professor in Elementary Education in the Department of Teacher Education and Learning Sciences at NC State University. Her current work focuses on K-2 mathematics education and issues of access and equity within schools.
Dr. Patricia L. Marshall is a Professor of Multicultural Studies in the Department of Teacher Education and Learning Sciences at NC State University. She is interested in the impact of elements of culture including race, class, language on the teaching-learning process and teachers acquisition of cross-cultural competency.
Dr. Lee V. Stiff is Professor of Mathematics Education in the Department of Science, Technology, Engineering, and Mathematics Education and Associate Dean for Faculty and Academic Affairs in the College of Education at NC State University. He is interested in affecting change that promotes the mathematics education of all students by effectively using data to better align existing resources to address issues of equity, student access to high-quality math courses, and course placement disparities.