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If we want better results, we need to examine different measures to identify what needs to change.

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I want others to understand that improving student learning requires using multiple measures of student data. To see different results, we must adjust our approach.

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I want to learn how to create a form for collecting essential data and then develop a tiered support system to improve results.

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The more measures used the more precise the data.

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Using more measures gives us the information about what needs to to change to make a difference.

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Teachers need to know why they are looking at the data and how to use it.

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We need to actively organizing our data and using it.

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Teachers need to understand what the types of measures are. Previously “multiple measures” was used to describe different types of tests to measure student learning.

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I am with Stacey on this one.

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If we want different results, we need to change the processes that create the results.

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How do we switch our mindset from "students need to try harder," to "I need to improve so students can get better!"

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definitely can happen when looking at all the data and considering all the variables that can go into perceptions, student learning, and school processes

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how do the adult beliefs impact student learning?

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School level data analysis should be about helping schools understand if they are achieving their purpose and guiding principles and meeting the needs of all students—and, if not, why not? There needs to be a balance because if we are only worried about student learning or achievement, we end up with students who don't have the social or soft skills to be successful

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How do we find that balance?

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The more measures we use, the more accurate of a reading we will have on our students.

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For us to improve student learning, we must use multiple forms of data. And, we must spend time using the data after we compile it.

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What data is the best for us to gather here at West Fork.

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Multiple measures should include student learning, demographics, perceptions, and school processes. (4 measures of data)

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There are a variety of types of data measures that we can take that we do not currently use.

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There is more than just data points that makes up the whole student.

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We are doing great work, but as we continue to move in the right direction it is important to remember the "we" instead of "you" or "I" in ensuring we are looking at all measures of data.

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How do we build upon the system we have?

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Data analysis can be quite simple when schools and teachers are clear on what we expect students to know and be able to do!!!

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Continue to revisit school processes to improve daily student experiences!

I believe perceptions interfere with true student learning experiences.