Data Mining in Higher Education
Table of Contents:
00:04 - Better predict each student's Performance by taking into account More than grades
00:12 - Better manage marketing dollars for recruitment.
00:16 - Better understanding of factors related to struggling students, ultimately to increase retention.
00:22 - An understanding of support programs' effectiveness.
00:26 - Better understanding demographic and other factors
00:32 - Determine which non-need based packages attract the best students.
00:39 - What factors lead to student retention, especially at-risk students?
00:45 - Predict which students are likely to default on their student loans.
00:50 - Comment!
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