Data Mining for Higher Education

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What higher education is doing and can do with data mining and predictive analytics software.

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Data Mining for Higher Education

  1. 1. SWhat EducationalInstitutions AreDoing and Can DoWith Data MiningSoftware
  2. 2. Better predict each student’sPerformance by taking intoaccount More than gradesS What factors lead to student success beyond grades?S Rethinking how to look at students to target to ensuretheir successS What factors lead to student success beyond grades?Why are some students more successful than others?S What factors lead toward graduation, and after howmany years?Salford Systems
  3. 3. Bettermanagemarketingdollars forrecruitment.Salford Systems
  4. 4. Better understanding of factorsrelated to struggling students,ultimately to increase retention.S What factors lead to failure?S What factors lead to graduation?Salford Systems
  5. 5. SAn understanding ofsupport programs’effectiveness.
  6. 6. Better understandingdemographic and other factorsS Related to attracting quality studentsS Related to identifying accepted students that areunlikely to enrollSalford Systems
  7. 7. Determinewhich non-need basedpackagesattract thebest students.Salford Systems
  8. 8. SWhat factors lead tostudent retention,especially at-riskstudents?Salford Systems
  9. 9. SPredict which students arelikely to default on theirstudent loans.Salford Systems
  10. 10. SComment!Which of these apply to you?Salford Systems

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