Equity in Data : A Framework for What Counts in Schools

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Title: Equity in Data : A Framework for What Counts in Schools
Description: Building a better data culture can be the path to better results and greater equity in schools. But what do we mean by data?Your students are not just statistics. They aren't simply a set of numbers or faceless dots on a proficiency scale. They are vibrant collections of experiences, thoughts, perspectives, emotions, wants, and dreams. And taken collectively, all of that information is data—and should be valued as such.Equity in Data not only unpacks the problematic nature of current approaches to data but also helps educators demystify and democratize data. It shows how we can bake equity into our data work and illuminate the disparities, stories, and truths that make our schools safer and stronger—and that help our students grow and thrive.To this end, the authors introduce a four-part framework for how to create an equitable data culture (along with a complementary set of data principles). They demonstrate how we can rethink our approach to data in the interest of equity by making five shifts:• Expand our understanding of data.• Strengthen our knowledge of data principles.• Break through our fear of data.• Decolonize our data gathering processes.• Turn data into meaningful, equitable action.We have an opportunity to realign school data with what students want out of their educational experiences. When we put equity first, we put students first.
Authors: Andrew Knips, Sonya Lopez, Michael Savoy, Kendall LaParo
Resource Type: eBook.
Subjects: Educational statistics--Data processing, Educational equalization, Education--Research--Methodology
Categories: EDUCATION / Administration / General, EDUCATION / Evaluation & Assessment, EDUCATION / Research
Database: eBook Collection (EBSCOhost)
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An: 3366746
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PubType: eBook
PubTypeId: ebook
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  Data: Equity in Data : A Framework for What Counts in Schools
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  Data: Building a better data culture can be the path to better results and greater equity in schools. But what do we mean by data?Your students are not just statistics. They aren't simply a set of numbers or faceless dots on a proficiency scale. They are vibrant collections of experiences, thoughts, perspectives, emotions, wants, and dreams. And taken collectively, all of that information is data—and should be valued as such.Equity in Data not only unpacks the problematic nature of current approaches to data but also helps educators demystify and democratize data. It shows how we can bake equity into our data work and illuminate the disparities, stories, and truths that make our schools safer and stronger—and that help our students grow and thrive.To this end, the authors introduce a four-part framework for how to create an equitable data culture (along with a complementary set of data principles). They demonstrate how we can rethink our approach to data in the interest of equity by making five shifts:• Expand our understanding of data.• Strengthen our knowledge of data principles.• Break through our fear of data.• Decolonize our data gathering processes.• Turn data into meaningful, equitable action.We have an opportunity to realign school data with what students want out of their educational experiences. When we put equity first, we put students first.
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  Data: <searchLink fieldCode="AR" term="%22Andrew+Knips%22">Andrew Knips</searchLink><br /><searchLink fieldCode="AR" term="%22Sonya+Lopez%22">Sonya Lopez</searchLink><br /><searchLink fieldCode="AR" term="%22Michael+Savoy%22">Michael Savoy</searchLink><br /><searchLink fieldCode="AR" term="%22Kendall+LaParo%22">Kendall LaParo</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Educational+statistics--Data+processing%22">Educational statistics--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+equalization%22">Educational equalization</searchLink><br /><searchLink fieldCode="DE" term="%22Education--Research--Methodology%22">Education--Research--Methodology</searchLink>
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RecordInfo BibRecord:
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    Classifications:
      – Code: 370.727
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Educational statistics--Data processing
        Type: general
      – SubjectFull: Educational equalization
        Type: general
      – SubjectFull: Education--Research--Methodology
        Type: general
    Titles:
      – TitleFull: Equity in Data : A Framework for What Counts in Schools
        Type: main
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            NameFull: Andrew Knips
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            NameFull: Sonya Lopez
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            NameFull: Michael Savoy
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            NameFull: Kendall LaParo
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            NameFull: Andrew Knips
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            NameFull: Sonya Lopez
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          Name:
            NameFull: Michael Savoy
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            NameFull: Kendall LaParo
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2022
            – D: 18
              M: 10
              Type: profile
              Y: 2022
          Identifiers:
            – Type: isbn-print
              Value: 9781416631392
            – Type: isbn-electronic
              Value: 9781416631408
            – Type: isbn-electronic
              Value: 9781416631415
          Titles:
            – TitleFull: Equity in Data : A Framework for What Counts in Schools
              Type: main
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