You won’t get grants if you don’t have evidence that your initiative does what it purports (data). Grants enable entities like @codeorg to offer free curriculum and PD.
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#csforallnyc has multiple grants. We don't pretend to use data to tell a complex story, instead we use it to paint a fuller picture. You may want to read Code's annual report... Tech companies not grants. Furthermore money should not drive our decision making1 reply 0 retweets 0 likes -
Just pointing out data is important for accountability since you monosyllabically asserted it wasn’t.
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Because the point I was making, that data is obfuscating that equity in CS depends on preparing kids of color and girls to overcome and change the realities of racism and sexism, was being obfuscated by....data. it's frustrating
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I agree money should not drive curriculum decisions. But when you don’t believe in using data to make decisions or to measure impact, and you worry that data obfuscates reality, who is the arbiter of reality?
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Ultimately either you believe in using data to make decisions and measure impact, or you don’t.
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I'm not talking about decision making here. This is not that convo about curriculum. It's about how data on equity in CS does not reflect the reality and can easily manipulated to obfuscate the reality that sexism and racism need to be proactively addressed in all communities.
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You stated earlier that you don’t believe in using data to make education decisions or to measure impact. If that’s your point of view I fundamentally disagree. I think individual stories can more easily be manipulated to obfuscate, hiding the stories of others.
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For example, 3rd party research (caveat: awaiting peer review) shows
@codeorg programs *cause* an estimated 7x increase in minorities taking and passing AP CS exams. There aren’t many causal statements one can make in CS Ed, but if this completes peer review, it will be one.1 reply 0 retweets 0 likes -
The study was based on data from thousands of students, each of whom has individual stories. When you don’t believe in using data to inform education decisions or measure impact, you risk ignoring some stories.
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Meanwhile, data supports your assertion that Equity in CS is a long ways away, and data contradicts your suggestion that nothing has changed or is changing.
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