Data Strategies to Uncover and Eliminate Hidden Inequities : The Wallpaper Effect

Data Strategies to Uncover and Eliminate Hidden Inequities : The Wallpaper Effect

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 293 p.
  • 言語 ENG
  • 商品コード 9781412914932
  • DDC分類 379.260285

Full Description


Most schools focus their data-based decision making efforts on standardized test score and other outcome-based, quantitative data. Outcome data have the potential to produce a misleading picture of actual conditions in schools and districts, thereby creating a wallpaper effect. Outcome data, like wallpaper, can cover up cracks or other unwanted blemishes. However, there are numerous sources of "hidden" data that have been shown to improve student achievement but are rarely analyzed and monitored. Some of these sources are non-academic, such as teacher and student attendance, school calendars, referrals, suspensions, disciplinary policies, and more. Data Strategies to Uncover and Eliminate Hidden Inequities shows educators what quantitative and qualitative data sources they should be looking at and provides activities to engage the reader. Johnson and Avelar-La Salle help educators identify the questions that get below the surface and demonstrate how powerful these data can be in answering important equity questions. With examples of schools that exemplify these data models, this book provides a springboard for explaining how to pull different data sources together into a continuous improvement plan aimed at raising the achievement of all students.

Contents

AcknowledgmentsAbout the AuthorsIntroductionPart I. The Need for the Other Data1. The Wallpaper Effect: Uncovering Inequties Using the Other DataScenario: Student Court Case TestimonyOverviewKey Roles for Data: Traditional and Other DataThe Data Context: Unfulfilled PromisesThe Wallpaper Effect: Making the Invisible VisibleConclusion2. Peeling the Wallpaper: Uncovering InequitiesScenario: Martin Luther King Jr. High SchoolOverviewOrganizing for Meaningful InquiryThe Achievement GapPeeling off Layers of DataApplication of the Levels of AnalysisPeeling the Data at Cortez Intermediate SchoolData-Bite ExercisesConclusionPart II: Peeling the Wallpaper off Everyday Inequities3. The Journey Through School: Starting With the End in MindScenario: KyleOverviewGraduating and Dropping Out: The Status of the K?12 PipelineCalculation Confusion: What Is the Real Graduation and Dropout Picture?Examining the BottleneckStemming the LeakagesGathering DataCollege ReadinessCollege Attendance and Family IncomeConclusion4. Special Education and Gifted and TalentedScenario: Precious CantorOverviewStudents Receiving Special Education Services: The Broad ContextWindows Into Belief Systems: The Inevitability Assumption and the Normalization of FailureChanging Expectations and Behaviors, Changing OutcomesTime in General EducationDisproportionate RepresentationPeeling Back to Examine Other DataA Discussion About CultureService Not LabelsStudents Receiving Gifted and Talented Education (GATE) ServicesConclusion5. English LearnersOverviewChallenging Conventional Wisdom about Programs for EL StudentsA Case on Transforming the Status QuoProfile of BAUSD EL StudentsPeeling Off the LayersData as an Instigator of Equity-Minded ActionConclusion6. Nonacademic Indicators Associated With Achievement OutcomesScenario: Titan Middle SchoolOverviewRethinking TimeDiscipline: Exclusion and Loss of Learning TimeAttendanceExtracurricular ParticipationFacilities and Program QualityStudent Voice and Social NetworksConclusion7. Systemic Inequties: Structures, Policies, and PracticesScenario: Award Winning School DistrictOverviewCommon Roots of Systemic Challenges to Equity and AchievementConclusionPart III: Changing Our Current Normal8. Increasing Equity MuscleOverviewThe Context: The Need to Increase Equity MuscleReframing and Challenging What Appears "Normal" and NaturalThe Need for DialogueOrganizing to Use the Other DataThe Need For Culturally Responsive SystemsThe Need for LeadershipThe Need for Student AdvocacyWho Is Missing From the Table?ConclusionAppendix A: Overview of Other DataAppendix B: Sample Data-Bite Resonses (Chapter 2)Appendix C: Summary of Main Points Gathered Through Interviews (Chapter 7)Annotated ResourcesReferencesIndex

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