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How can colleges use predictive algorithms equitably? A conversation with Dr. Denisa Gándara

IHEP Institute for Higher Education Policy

When a model predicts that Black or Latinx students are more likely to fail, how users interpret that information depends on their racial consciousness and data literacy. IHEP: How can institutions build data literacy among faculty and staff to ensure that predictive models are used responsibly?

Literacy 143
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Advising, Counseling, Mentoring and Teaching Black Males in Secondary and Postsecondary Settings

Diverse: Issues in Higher Education

Some of the topics include literacy and math, advising Black male engineering majors, socio-emotional development, leadership, community college experiences, Black male veterans, athletes in P-12 and higher education, and the recruitment and retention of Black males in educator preparation programs.

Advising 325
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Funding at Risk: How AANAPISI Programs Transform Student Lives

Diverse: Issues in Higher Education

They work to help students navigate college, build peer networks, connect with staff, connect with faculty, provide different types of training, including financial literacy, all sorts of really wonderful types of supports wraparound supports that are not commonly found.

Tutoring 205