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Enhancing Student Achievement Through System-Wide Accountability and Meaningful Data

This lecturette investigates why students are failing in educational systems and how accountability measures can enhance student performance. It highlights the need for a comprehensive approach to accountability across classroom, school, and district levels, advocating for diverse assessments that meet varied information needs. The discussion encourages educators to examine learning experiences provided within the system and questions the efficacy of existing goals and data. By exploring crucial questions on meaningful data, this initiative seeks to align educational practices with mission statements and improve outcomes for all students.

dennis-holt
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Enhancing Student Achievement Through System-Wide Accountability and Meaningful Data

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  1. Lecturette 1: Mining System-Wide Data

  2. What is the Question? Why are students failing or how is the system failing the students?

  3. System-Wide Opportunities to Improve Chances for Learning

  4. Accountability • Accountability for student achievement crosses all boundaries of the system – classroom, school, and district levels. • An effective accountability system does not assume that one assessment meets everyone’s information needs.

  5. If we seek to improve student performance we must focus on the work or learning experiences we provide to students (Schlechty, 2002). How are the learning experiences provided by our district, school or classrooms failing these students?

  6. Questions for Selecting Meaningful Data • What evidence would demonstrate that we are fulfilling the commitments embedded in our mission statement? • Do we have any existing, ongoing goals that lack baseline data from which to measure progress? Holcomb (1999)

  7. Questions for Selecting Meaningful Data • What evidence would demonstrate that we are fulfilling the commitments embedded in our mission statement? • Do we have any existing, ongoing goals that lack baseline data from which to measure progress? Holcomb (1999)

  8. Evidence Continuum

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