Offers a collection of resources for mathematics faculty interested in incorporating questions of social justice into their classrooms. The book comprises seventeen classroom-tested modules featuring ready-to-use activities and investigations for college mathematics and statistics courses.
Offers a collection of resources for mathematics faculty interested in incorporating questions of social justice into their classrooms. The book comprises seventeen classroom-tested modules featuring ready-to-use activities and investigations for college mathematics and statistics courses.
Gizem Karaali is Professor of Mathematics at Pomona College. She is a past chair of the Special Interest Group of the MAA on Quantitative Literacy (SIGMAA-QL). She is one of the founding editors of The Journal of Humanistic Mathematics, senior editor of Numeracy, and an associate editor for The Mathematical Intelligencer; she also serves on the editorial board of the MAA's Classroom Resource Materials series. Lily Khadjavi is Professor and Chair of Mathematics at Loyola Marymount University and is a past co-chair of the Infinite Possibilities Conference. In 2020 she was appointed by the California State Attorney General to the Racial and Identity Profiling Act Board, which works with the California Department of Justice. She currently serves on the editorial board of the MAA's Spectrum series and the Human Resources Advisory Committee for the Mathematical Sciences Research Institute in Berkeley.
Inhaltsangabe
* G. Karaali and L. S. Khadjavi, Introduction to Mathematics for Social Justice: Focusing on Quantitative Reasoning and Statistics * J. Belock, Understanding over- and underrepresentation via conditional probability * A. Brisbin, ""I need a job!"": Analyzing unemployment rates in college algebra and introductory statistics * T. M. Brown, A three-part module on poverty * F. Fisher and J. Warner, A gentrification module for quantitative reasoning * M. M. Franco, Examining human rights issues through the lens of statistics * T. Galanthay and T. J. Pfaff, Normal isn't ``normal'' when it comes to income * T. Galanthay and T. J. Pfaff, Get the lead out: The connection between lead and crime * D. Greenberg, D. Hughes Hallett, and L. S. Khadjavi, Policing and the issue of racial profiling * A. J. Miller, Measures of income inequality * K. Piatek-Jimenez, Super Size Me: Exploring the nutrition of fast food * K. Piatek-Jimenez, Exploring the benefits of recycling * V. Piercey, The new Jim Crow: A racial checkup for the United States * K. Simic-Muller, Who makes the minimum wage? * J. Suzuki, Mandatory drug tests for recipients of public assistance: Mathematical interpretations and implications * J. Suzuki, The limits of partisan gerrymandering * Z. Teymuroglu and J. C. Chambliss, Forecasting the past: Teaching regressions * U. Williams, Partisan politics and central tendencies * G. Karaali and L. S. Khadjavi, Epilogue: Mathematics for social justice: Closing thoughts and next steps
* G. Karaali and L. S. Khadjavi, Introduction to Mathematics for Social Justice: Focusing on Quantitative Reasoning and Statistics * J. Belock, Understanding over- and underrepresentation via conditional probability * A. Brisbin, ""I need a job!"": Analyzing unemployment rates in college algebra and introductory statistics * T. M. Brown, A three-part module on poverty * F. Fisher and J. Warner, A gentrification module for quantitative reasoning * M. M. Franco, Examining human rights issues through the lens of statistics * T. Galanthay and T. J. Pfaff, Normal isn't ``normal'' when it comes to income * T. Galanthay and T. J. Pfaff, Get the lead out: The connection between lead and crime * D. Greenberg, D. Hughes Hallett, and L. S. Khadjavi, Policing and the issue of racial profiling * A. J. Miller, Measures of income inequality * K. Piatek-Jimenez, Super Size Me: Exploring the nutrition of fast food * K. Piatek-Jimenez, Exploring the benefits of recycling * V. Piercey, The new Jim Crow: A racial checkup for the United States * K. Simic-Muller, Who makes the minimum wage? * J. Suzuki, Mandatory drug tests for recipients of public assistance: Mathematical interpretations and implications * J. Suzuki, The limits of partisan gerrymandering * Z. Teymuroglu and J. C. Chambliss, Forecasting the past: Teaching regressions * U. Williams, Partisan politics and central tendencies * G. Karaali and L. S. Khadjavi, Epilogue: Mathematics for social justice: Closing thoughts and next steps
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