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Data Analysis

MED 6730. Data Analysis. Problem of the Day : SEND +MORE MONEY. Data, data, everywhere. In your Reflective Journal, describe how you make sense of all the data you receive about students. . Data-Driven Decision Making. Key elements Purposeful data collection and analysis

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Data Analysis

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  1. MED 6730 Data Analysis

  2. Problem of the Day: SEND +MORE MONEY

  3. Data, data, everywhere • In your Reflective Journal, describe how you make sense of all the data you receive about students.

  4. Data-Driven Decision Making • Key elements • Purposeful data collection and analysis • Designated resources and other supports such and time and an appropriate data management system • Strategies for communicating about the process of data collection and use as well as the findings

  5. Purposeful data collection and analysis • Collect data with a clear purpose • Rather than viewing CRT data as a cache of information to be mined; approach the data with a specific question to be answered. • Analyze data to answer the question Granola Mine Activity

  6. Purposeful data collection and analysis • Focus on teaching, learning, and assessment • Assessments are aligned with instruction and curriculum • Accountability systems clearly focus on instruction and inform decisions about curriculum and instructional practices • What questions can you ask that could be answered by the data that inform instructional practice? • Efforts are made to reduce time consuming data collection procedures that don’t inform instructional decisions • What data collection procedures could you have employed with the granola bar that would NOT have been worth the information you gleaned?

  7. Purposeful data collection and analysis • Participative decision making • Leadership team plays an active role in collecting, organizing, analyzing, and discussing data • Opportunities are regularly scheduled for discussion of data • Process is used to assist faculty in generating questions, organizing, and displaying data to support decisions

  8. Resources and supports • Data teams • Appropriate tools • Software • Time • Collaboration time What are you doing in your setting to evaluate and understand data? What could be done that makes data meetings productive? Not as productive?

  9. Communication • When and where do you talk about results? • What is done with the results? • How is follow-up reported?

  10. Data Analysis Activity • Gather in grade level groups, no more than 4 per group • First, discuss the questions you want to answer with the data • Identify what data, or what aspects of the data will enable you to answer the questions • Prepare the data in a form that answers the questions • Identify possible interventions that could assist in remediating student difficulties identified in the data. • Identify the research base supporting the intervention

  11. How to identify a research base for an intervention • Google Scholar • Pioneer Online

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