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Enhancing Wisconsin Education: Transition to WISEdash for Data Insights and Student Success

This presentation outlines the transition from WINSS to WISEdash, emphasizing its importance in the educational landscape of Wisconsin. State Superintendent Tony Evers stresses the need for all students to graduate prepared for further education and careers. The agenda includes a demonstration of WISEdash, showcasing topics such as enrollment, attendance, and national assessments. Confidentiality measures are highlighted, ensuring that student data is protected. The session invites feedback to enhance the effectiveness of the new dashboard system.

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Enhancing Wisconsin Education: Transition to WISEdash for Data Insights and Student Success

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Presentation Transcript

  1. Wisconsin Information System for EducationData Dashboard April 8, 2013 Melanie McCalmontDPI Data Warehouse and Decision Support Team

  2. Outline • Agenda 2017 and WISEdash • WINSS to WISEdash transition • WISEdash demonstration • Dashboard Survey

  3. Agenda 2017 “Every child must graduate ready for further education and the workforce. We must align our efforts so all our students are prepared to succeed in college or a career.” – State Superintendent Tony Evers Assessments and Data Systems • How do we know if they learned it?

  4. Agenda 2017

  5. over time, replacing WINSSwith new portal

  6. WISEdash topics • WINSS will be phased out over time • First dashboard topics available will be Enrollment, Attendance, WSAS, ACT, and AP (red box). • Student data from 2005-06 school year • Historical (pre-2005) WINSS data available • All datasets will be summarized and redacted. • WISElearn project or others will adopt the other 3 boxes. • After the public launch, planning will begin to implement additional data topics.

  7. WISEdash redaction • Protecting student confidentiality is required by Wisconsin law and DPI policy • No student-level data on WISEdash • Redaction is an algorithm applied to WISEdash data sets so that discovery of personally identifiable information is minimized. • Direct disclosureoccurswhen data could be linked to a specific student that a reasonable person in the community could identify with reasonable certainty. Prevented by using a “cell size” of no less than 5 students. • Indirect disclosure occurs when redacted data could be combined with other aggregated data to deduce personally identifiable information.

  8. WISEdashdemonstration

  9. WISEdash demo We welcome your comments! melanie.mccalmont@dpi.wi.gov

  10. WISEdash demo Thanks for your interest and participation!

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