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Wisconsin’s Technical College Pipeline Data Study

Wisconsin’s Technical College Pipeline Data Study. March 23, 2011, webinar. C O W S. center on wisconsin strategy. Goal: Increase the number of adults who earn postsecondary credentials related to occupations in high demand. One year of college level credits plus a credential.

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Wisconsin’s Technical College Pipeline Data Study

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  1. Wisconsin’s Technical College Pipeline Data Study March 23, 2011, webinar C O W S center on wisconsinstrategy

  2. Goal: Increase the number of adults who earn postsecondary credentials related to occupations in high demand.

  3. One year of college level credits plus a credential is the tipping point for earnings success. The Tipping Point Washington State’s Seminal Study Study tracked 35,000 working-age adults who came to Community-Technical Colleges with only high school education or less, or non-English-speaking.

  4. RISE Target Population Adults 25-54 without 2- or 4-yr college credential…or not proficient in English 1.4 million 1.3 million …Who worked last year …Who made less than median wage ($15.11) 695,000 Center on Wisconsin Strategy (COWS), Fall 2009

  5. Some Simple Questions • To what extent do ABE, ELL, and Developmental serve as feeders for college programs? • How do the groups compare in terms of college performance? • How does program enrollment affect student performance?

  6. The Pipeline Study Population • Working-age, first-time WTCS students with no prior college attendance • Divided intogroups based on lowest level course work taken • English Language Learning • Beginning Level Adult Basic Education • Intermediate Level Adult Basic Education • Adult Secondary Education • Developmental • College/Postsecondary

  7. Size of Groups in Cohort Study

  8. Throughput of Students Who Took Any Kind of Course

  9. 69 thousand PostsecondaryAttainment

  10. 69 thousand PostsecondaryAttainment ? 100%

  11. 69 thousand PostsecondaryAttainment 100% 70% 38% 25% 26% 5%

  12. 69 thousand PostsecondaryAttainment ? 41%

  13. 69 thousand PostsecondaryAttainment 41% 62% 29% 19% 19% 3%

  14. 69 thousand PostsecondaryAttainment

  15. Postsecondary Attainment

  16. Students Who Enrolled In College Courses

  17. Percent That Earned Credits ? % of PS course takers Credits earned threshold

  18. Percent That Earned Credits % of PS course takers Credits earned threshold

  19. Percent That Earned Credits % of PS course takers Credits earned threshold

  20. Percent That Earned Credits % of PS course takers Credits earned threshold

  21. Percent That Earned Credits % of PS course takers

  22. Percent Who Took College English ?

  23. Percent Who Took College English % of credits passed

  24. Percent Who Took College Math % of credits passed

  25. Students Who Were Admitted to a Program • WTCS Program Types • Apprenticeship • Short-term technical diploma • One-year technical diploma • Two-year technical diploma • Applied associate degree • Liberal arts associate degree

  26. Distribution of Program Enrollments by Program Type Percent of those who enrolled in a program

  27. Program Completion by Program Type (sans Short-Term) Percent of those who enrolled in a program that completed

  28. Effect of Program Enrollment On PS Credit Accumulation

  29. Effect of Program Enrollment On Passing PS Credits % of students who attempted at least 3 credits that completed at least 3 credits. In a program

  30. Some Simple Questions • To what extent do ABE, ELL, and Developmental serve as feeders for college programs? • How do the groups compare in terms of college performance? • How does program enrollment affect student performance?

  31. For workers: • Path to better jobs, higher wages • Access to, employer support for, lifelong learning • More work security • For employers: • Larger pool of qualified workers • Pipeline for filling skilled jobs from within • Higher retention, employee loyalty

  32. Steps Ahead • Finish all clean-up of data set • With COWS, write up systemwide transitions report • Break out data by colleges and career clusters • Add transition measures to performance measurement systems

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