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shoaibhashmi

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Anne Bubnic

On the Road to DDDM [Dian Schaffhauser] - 0 views

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    April 2008 : THE Journal. As each district progresses, it will face new challenges discerning what data is relevant, addressing tolerance for change among users, and figuring out how to respond now that data is driving its decision-making.
    \nStage 1: Define the Outcomes
    \nStage 2: Define the Questions
    \nStage 3: Collect and Sort
    \nStage 4: Extract Meaning
    \nStage 5: Take Action
    \nStage 6: Evaluate Outcomes, Modify as Needed

Anne Bubnic

Drilling Deeper in a Professional Learning Community - 0 views

  • A Way of Thinking in a Professional Learning Community: Four Principles Begin with Building a Guiding Coalition
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    If schools are to function as true professional learning communities, they cannot avoid difficult and complex issues. Recognizing that a professional learning community involves a way of thinking will increase the likelihood of success when addressing such topics-topics that impact student learning. This article offers four ways of thinking that will produce results:
    1. Begin with Building a Guiding Coalition
    2. Build Shared-Knowledge
    3. Engage in Experimentation
    4. Focus on Results
Anne Bubnic

Improving Decisions with Data [Doug Johnson] - 0 views

  • Harnessing more powerful data tools and greater amounts of data.
  • Granting teacher, parent and community access to data
  • Planning and utilizing interoperability standards
  • ...2 more annotations...
  • Guaranteeing integrity, privacy and security
  • Building data analysis and interpretation skills
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    Administrators will face, if they aren't already, five particular challenges in their use of data.
    1.Harnessing more powerful data tools and greater amounts of data.
    2.Granting teacher, parent and community access to data
    3. Planning and utilizing interoperability standards
    4. Guaranteeing integrity, privacy and security
    5. Building data analysis and interpretation skills

Anne Bubnic

Learning to Love Assessment - [Word Doc] - 0 views

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    Here is a suggestion for the use of this article with colleagues. You will need a list of the 10 understandings and copies of the article written by Carol Ann Tomlinson.
    Informative assessment:
    1. isn't just about tests.
    2. really isn't about the gradebook.
    3. isn't always formal.
    4. isn't separate from the curriculum.
    5. isn't about "after."
    6. isn't and end in itself.
    7. isn't separate from instruction.
    8. isn't just about student readiness.
    9. isn't just about finding weaknesses.
    10. isn't just for the teacher.

shoaibhashmi

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What Is a "Professional Learning Community"? |Richard DuFour - 0 views

  • Big Idea #1: Ensuring That Students Learn The professional learning community model flows from the assumption that the core mission of formal education is not simply to ensure that students are taught but to ensure that they learn. This simple shift—from a focus on teaching to a focus on learning—has profound implications for schools.
  • Big Idea #2: A Culture of Collaboration Educators who are building a professional learning community recognize that they must work together to achieve their collective purpose of learning for all. Therefore, they create structures to promote a collaborative culture.
  • Big Idea #3: A Focus on Results Professional learning communities judge their effectiveness on the basis of results. Working together to improve student achievement becomes the routine work of everyone in the school. Every teacher team participates in an ongoing process of identifying the current level of student achievement, establishing a goal to improve the current level, working together to achieve that goal, and providing periodic evidence of progress. The focus of team goals shifts. Such goals as "We will adopt the Junior Great Books program" or "We will create three new labs for our science course" give way to "We will increase the percentage of students who meet the state standard in language arts from 83 percent to 90 percent" or "We will reduce the failure rate in our course by 50 percent."
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    The professional learning community model has now reached a critical juncture, one well known to those who have witnessed the fate of other well-intentioned school reform efforts. In this all-too-familiar cycle, initial enthusiasm gives way to confusion about the fundamental concepts driving the initiative, followed by inevitable implementation problems, the conclusion that the reform has failed to bring about the desired results, abandonment of the reform, and the launch of a new search for the next promising initiative. Another reform movement has come and gone, reinforcing the conventional education wisdom that promises, "This too shall pass."
Anne Bubnic

Seven Steps to Creating a Data Driven Decision Making Culture - 0 views

  • In this post I hope to share the essence of some of the main ideas communicated in the speech. The format is: words from the slide followed by a short narrative on the core message of the slide. Hope you find it useful.
  • The biggest challenge in our current environment is that it is trivial to implement a tool, it takes five minutes. But tools are limiting and can just give us data. What compounds the challenge is that we all have this deep tendency to make decisions that come from who we are influenced from our life experiences. Based on my humble experience of the last few years here are seven common sense recommendations for creating a data driven company culture……
  • # 6 Reporting is not Analysis
  • ...6 more annotations...
  • # 7 Go for the bottom-line (outcomes)
  • # 5 Depersonalize decision making
  • # 4 Proactive insights rather than reactive
  • # 3 Empower your analysts
  • # 2 Solve for the Trinity
  • # 1: Got Process?
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    The title of this presentation at the Washington DC Emetrics summit was: Creating a Data Driven Web Decision Making Culture - Lessons, Tips, Insights from a Practitioner. Although meant for corporations, the advice applies just as well to academic institutions. The goal here was to share tips and insights that might help companies move from just having lots and lots of data to creating cultures where decisions are made not on gut-feel, or the proverbial seat of the pants, but rather based on data.
Anne Bubnic

10 Things You Always Wanted To Know About Data-Driven Decision Making - 0 views

  • 1. If you're not using data to make decisions, you're flying blind.
  • 2. This is all about a process, not a specific technology.
  • 4. You will be spending more money, not less.
  • ...8 more annotations...
  • 5. Data-driven decision making does not save time.
  • The first year is all about setting goals in the community and district. Year two is about roll-out and implementation, and it's not until years three or four that you can really see the effects,"
  • 3. Get ready to feel threatened.
  • 6. Your data's cleanliness is next to Godliness.
  • 7. Don't shoot first and ask questions later.
  • 8. A good D3M solution is one you can afford to change.
  • 9. NLCB is just the beginning of your journey.
  • 10. Word of warning: D3M is highly addictive.
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    Everyone's talking about D3M. Use this guide to help prevent all that data from driving you nuts.
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