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

IHEP Institute for Higher Education Policy

New research reveals that algorithms commonly used by institutions to predict student success may be racially biased against Black and Latinx students. 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.

Literacy 144
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Student Success, Retention, and Employability – Getting Digital in a High Tech, High Touch Environment

Eric Stoller on Academic Advising

However, with a deeper glance, it’s the connections between these areas that are the strands that form essential aspects of the student experience. Student Success. Student engagement is everything when it comes to student success. Engagement is what creates a meaningful student experience.

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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. Chapter 12: Brown, D. Frazier, R.-M.

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

Diverse: Issues in Higher Education

These types of classes help students develop a sense of identity, help build their sense of belonging and give them confidence, Nguyen says. So, I think its important to note that without this type of sustained federal investment, a lot of students are gonna be underserved and its gonna greatly impact student success, Nguyen says.

Tutoring 243