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Why Community Colleges Are Smart Choices for Faculty

Diverse: Issues in Higher Education

Jennifer Sramek The student-led campaign is commendable, but the community college stigma doesn’t only affect students. Faculty members are sometimes questioned about their choice to teach at a community college rather than at other higher education institutions.

Faculty 264
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Diverse Students Need Diverse Faculty

Diverse: Issues in Higher Education

Jessica Enders COD's leaders support staff development to ensure its faculty, administrators, and staff are up-to-date on issues and teaching and learning strategies. Increased faculty communication and outreach began with the fruitful communications participants had with other members of the CCLP Roadrunner cohort.

Faculty 280
professionals

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Algorithmic Bias Continues to Negatively Impact Minoritized Students

Diverse: Issues in Higher Education

As institutions of higher education turn to AI machine learning and data-driven algorithms to make their work more efficient, a new study published in the American Educational Research Association (AERA) peer-reviewed journal , AERA Open , reminds administrators that algorithms can be racially biased.

Students 328
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Examining Educational Equity in Leadership

Diverse: Issues in Higher Education

Title: Assistant Professor of Higher Education Leadership and Policy Studies, School of Education, Howard University Tenured: No Age: 38 Education: B.A., educational leadership and policy, University of Texas at Austin, College of Education Career mentors: Dr. Victor B. Dr. Victor B. Dr. Robert T.

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ASHE Conference Urges Humanization of Higher Education

Diverse: Issues in Higher Education

The conference theme this year is humanizing higher education, and hundreds of scholars from across the country gathered here to share their research, resources, and make connections. We first have to understand where we’ve been to think about what humanizing higher education can mean, a path forward in uncertain times,” said Gaston Gayles.

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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 147
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Tribal Colleges and Universities as Conduits for Intellectual and Political Sovereignties

Diverse: Issues in Higher Education

However, TCU students often transfer to PWIs to continue their education or engage in bilateral mobility between TCUs and PWIs while working toward degree requirements. The movement and transition between these institutional types can be jarring to Indigenous students. The Roueche Center Forum is co-edited by Drs.