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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?

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Digital Engagement – How Technology Enhances the Student Experience

Eric Stoller on Academic Advising

Making connections, building community, improving digital literacy , and enhancing employability are just a few of the ways in which social media contribute to a more well-rounded student experience. It’s essentially a built-in experiential digital literacy program. Student Information Systems and Predictive Analytics. Being Human.

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

Eric Stoller on Academic Advising

Admissions professionals, academics, academic advisors, career services representatives, tutors, alumni officers, etc. Engagement is what creates a meaningful student experience. Every interaction that a student has with a university representative is important. are part of an inter-linked chain of engagement officials.

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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