Community College Summit - Panel One: Identifying Barriers to Student Success

Streamed Session Community College

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Brief Abstract

Based on the ideas captured in the interactive documents by the scribes, panelists will discuss the pervasive barriers to student success seen within community colleges.  The panelists, representing a diverse set of roles and responsibilities, will share their perspectives on the most critical challenges that we must tackle with new and innovative approaches. Participants will submit live questions to the panelists using, and can vote up questions that they’d like to have answered first.


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Frances Villagran-Glover has over 25 years in higher education and is the Dean for Learning and Technology Resources and Interim Director for the Center of Excellence in Teaching and Learning for Northern Virginia Community College. Frances enjoys collaborating with faculty and students in transforming the student engagement experience and reimagining the possibilities of academic support via technology. Frances and her USMC husband of thirty years live in Woodbridge, Virginia. They are proud parents of seven children, aka the A-Team.
Kelsee Moran is a student at River Parishes Community College, as well as student body president. Ms. Moran came to RPCC a few years ago after being out of school for over 13 years. She is now a part of the Gamma Beta Phi Honor society, and will be transferring to Nicholls State University in the fall to study Dietetics. She spends her free time outside of the classroom with her husband of nine years, Matthew, and her beautiful 3 year old son, Kane.
Chris is a Professor of English at Macomb Community College. His scholarship concentrates on privacy, institutional tech policy, digital redlining, and the re-inventions of discriminatory practices through data mining and algorithmic decision-making, especially as these apply to college students. His forthcoming article, “The New Pythagoreans,” looks at how popular misunderstandings of mathematical concepts create the illusions of fairness and objectivity in student analytics, predictive policing, and hiring practices.

Extended Abstract