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Copyright © Allyn & Bacon 2008
Data-Driven Decisions and School Leadership: Best Practices for School Improvement
Theodore J. KowalskiThomas J. Lasley II.James W. Mahoney
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Chapter 1:
Problem Solving and Decision Making in the Context of School Reform
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School reform mid-1980s
Problem – Unproductive students Strategy – Intensification mandates Intent – Make students do more of what they
were already doing Examples – higher graduation requirements,
longer school day, and longer school year
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School reform late 1980s
Problem – Unproductive students and incompetent educators
Strategy – Intensification mandates Intent – Make students do more, increase rigor of
teacher preparation/licensing Examples – Increased admission, retention, and
graduation requirements for teacher education, require state testing for licensing, maintain or accelerate mandates for student performance
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School reform after 1990
Problem – Structure and culture of schools Strategies – Deregulation and restructuring Intent – Revamp the culture and structure of
schools to improve performance Examples – State outcome-based
accreditation, school-improvement plans, greater emphasis on improvement at the local level
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Implications of current reform initiatives
Greater emphasis on district and school reform agendas
Administrators must decide what to change and not just how to implement mandates
Teachers and administrators assume greater responsibility for practice
Problem solving and decision making are central to professional practice
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The “how” and “what” of school improvement
Management focuses on “how to do” Leadership focuses on “what to do” Administration encompasses management
and leadership Both teachers and administrators need to
lead and manage
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Change strategies
Improvement (restructuring) requires change
Change requires vision, planning, and
strategy
Change strategies determine success
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Strategy: Show, initiate, rely on rationality
Provide empirical evidence supporting the need for change
Initiate change Depend on employee rationality for
compliance Problem – employees often reject
evidence and do not act rationally
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Strategy: Set new norms, re-educate, facilitate
Provide a new standard of practice (or organization)
Provide staff development for implementation Provide resources for implementation Problem – employee enthusiasm/support
wanes if new standard conflicts with existing school culture
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Strategy: Rely on power and coercion
Set new standards Require educators to implement them Rely on penalties to ensure compliance Problem – employees resent coercion and
exhibit spiteful obedience only until pressures for change subside
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Strategy: Create a vision, diagnose culture, change culture
Describe what school should look like in meeting its mission at a designated point in the future
Determine whether prevailing assumptions, beliefs, norms, and so forth are compatible with the vision
Restructure culture to ensure that it facilitates the vision
Problem – most educators have not been prepared to understand or change institutional culture
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Relevance of change strategies to practice
Culture change provides the most effective alternative to authentic school reform
Culture change requires open communication, problem solving, and decision making
Culture change requires educators to access and apply data objectively and in a timely manner
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Problem solving
Understanding – framing and then analyzing the problem
Formulating – identifying alternative solutions and then selecting a preferred solution
Applying – activating the preferred solution Reflecting – assessing and evaluating outcomes Improving – adjusting the preferred solution if the
problem is not resolved or managed sufficiently
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Decision making elements
Goal – what you want to accomplish
Options – alternatives you could pursue in
attempting to reach your goal
Choice – your preferred alternative
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Data-based decisions
Involve goals, alternatives, and a choice just as all
other decisions
Alternatives are assessed and evaluated using
quantitative and qualitative evidence (data)
Choices are based on the evaluation of evidence
Intent is to reduce the influence of emotion, bias, and
politics on choices
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Why data-based decisions are difficult for educators
Educators often are unprepared to use assessment in relation to decision making
Educators do not integrate research and statistics into their practice naturally
Data have often been viewed as the enemy Process viewed as cumbersome and unnecessary Politics and emotion are accepted as inevitable Educators rarely engage in collaborative assessment
and decision making
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Four dimensions of data-based decision making
Proficiency generating data
Proficiency using data
Resource adequacy
Cultural acceptance