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Modified the Introduction Frame for Case Study #1
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website/src/assets/College/collegeLabContent.js

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@@ -9,15 +9,44 @@ export default [
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post: {
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profilePic: teachLogo,
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profilePicName: "Profile Picture - TeachLA Logo",
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header: "Case Study #1: College Admissions",
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subheader: "Robots Reading Your Essays?",
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header: "Introduction",
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subheader: "What did the University of Texas at Austin do?",
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bodyText: [
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{
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body: <p className="bold">We Will Work On This Case Study!</p>,
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body: (
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<p>
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In 2013, the CS department at the University of Texas at Austin implemented the GRADE (GRaduate ADmissions Evaluator)
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machine learning system into its Ph.D. admissions process.
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</p>
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),
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},
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{
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body: (
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<p>
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Made to reflect the admissions committee’s decisions prior to its implementation in 2013,
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issues arose of it{" "}
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<mark className="underline">
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compounding the initial biases that the admissions committee held,
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which disadvantaged applicants from underrepresented groups.
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</mark>{" "}
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The department ultimately abandoned GRADE in 2020.
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</p>
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),
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},
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{
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body: (
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<p>
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<mark className="bold">
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In this case study, we will analyze why and how ML models such as GRADE that screen various applications
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can undervalue the achievements of underrepresented groups.
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</mark>
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</p>
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),
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},
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],
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},
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},
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{
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post: {
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profilePic: teachLogo,

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