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Completing prerequisite work for class (readings)

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Speak up and Speak out Growth does not sprout from comfort

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When looking at Data that references race, be cautious with your choice of language              (Ex: DO NOT say Blacks vs. Whites….it is Black people vs. White people, etc.)

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Remember to differentiate  intent vs. impact.

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We should investigate what the data is actually measuring. Test scores might be improving, but are they good tests?

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Think before you speak

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When looking at data that may be triggering, provide students with the opportunity to remove themselves from the discussion.

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Be open minded and ask questions

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be mindful of the stakeholders that are affected by the data

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Ask questions. think critically about data (correlation, source, narrative)

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Share the space/mic

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Approach data with a grain of salt, consider what factors it does not take into account. Come in with a growth mindset and ready to learn from each other and the data

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be mindful of the story the data is telling

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Be open to others thoughts and opinions

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Assume best intentions, check in/check out,
growth mindset, be willing to learn from others.

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Avoid assumptions, be critical about data.

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Approach everything with a growth mindset and be open to listen to opinions that you may disagree with.

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What other norms and expectations do we need in our class?

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What other norms and expectations do we need in our class?

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How should talk about Data in ways that support each other as colleagues and support our Anti Racist mission?

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What should our norms be as we engage with real-world data?

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What should our norms be as we engage with real-world data?