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      Mathematics for Social Justice

      Focusing on Quantitative Reasoning and Statistics

      AvGizem Karaali,Lily S. Khadjavi

      Häftad, Engelska, 2022

      Del i serien Classroom Resource Materials

      724 kr

      Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

      Beskrivning

      Mathematics for Social Justice: Focusing on Quantitative Reasoning and Statistics 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. The modules empower students to study issues of social justice and to see the power and limitations of mathematics in real-world contexts of deep concern. The primary focus is on classroom activities where students can ask their own questions, find and analyze real data, apply mathematical ideas themselves, and draw their own conclusions. Module topics in the book focus on technical content that could support courses in quantitative reasoning or introductory statistics. Social themes include electoral issues, environmental justice, equity/inequity, human rights, and racial justice, including topics such as gentrification, partisan gerrymandering, policing, and more.The volume editors are leaders of the national movement to include social justice material in mathematics teaching and jointly edited the earlier AMS-MAA volume, Mathematics for Social Justice: Resources for the College Classroom.

      Produktinformation

      • Utgivningsdatum:2022-01-30
      • Mått:178 x 254 x 20 mm
      • Vikt:525 g
      • Format:Häftad
      • Språk:Engelska
      • Serie:Classroom Resource Materials
      • Antal sidor:286
      • Förlag:American Mathematical Society
      • ISBN:9781470449278

      Utforska kategorier

      • Matematik inom Naturvetenskap och teknik

      Mer om författaren

      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.

      Innehållsförteckning

      • G. Karaali and L. S. Khadjavi, Introduction to Mathematics for Social Justice: Focusing on Quantitative Reasoning and StatisticsJ. Belock, Understanding over- and underrepresentation via conditional probabilityA. Brisbin, ""I need a job!"": Analyzing unemployment rates in college algebra and introductory statisticsT. M. Brown, A three-part module on povertyF. Fisher and J. Warner, A gentrification module for quantitative reasoningM. M. Franco, Examining human rights issues through the lens of statisticsT. Galanthay and T. J. Pfaff, Normal isn't ``normal'' when it comes to incomeT. Galanthay and T. J. Pfaff, Get the lead out: The connection between lead and crimeD. Greenberg, D. Hughes Hallett, and L. S. Khadjavi, Policing and the issue of racial profilingA. J. Miller, Measures of income inequalityK. Piatek-Jimenez, Super Size Me: Exploring the nutrition of fast foodK. Piatek-Jimenez, Exploring the benefits of recyclingV. Piercey, The new Jim Crow: A racial checkup for the United StatesK. Simic-Muller, Who makes the minimum wage?J. Suzuki, Mandatory drug tests for recipients of public assistance: Mathematical interpretations and implicationsJ. Suzuki, The limits of partisan gerrymanderingZ. Teymuroglu and J. C. Chambliss, Forecasting the past: Teaching regressionsU. Williams, Partisan politics and central tendenciesG. Karaali and L. S. Khadjavi, Epilogue: Mathematics for social justice: Closing thoughts and next steps
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