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Today’s focus: Student outcomes at Kentucky public 4-year universities.
To explore our data materials, visit cpe.ky.gov.
Upcoming CPE studies:
- Two-year community and technical
colleges
- All high school graduates, assessing
The Rapid Rise of Dual Credit: Understanding the Positive Impact on - - PowerPoint PPT Presentation
The Rapid Rise of Dual Credit: Understanding the Positive Impact on - - PowerPoint PPT Presentation
Kentucky Council on Postsecondary Education Data Webinar The Rapid Rise of Dual Credit: Understanding the Positive Impact on Grades and College Persistence To explore our data materials, visit cpe.ky.gov. Todays focus: Student outcomes at
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Our panelists
– Amanda Ellis, CPE Associate Vice President for P-20 Policy and Programs – Lexy Riddle, Murray State University Student and Dual Credit Participant – John Darnell, Bellevue Middle/High School Principal – Brittney Sholar, WKU Interim Dual Credit Program Manager
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Overall growth of dual credit enrollment
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23,307 23,954 30,067 34,764 36,933 40,821
5,000 10,000 15,000 20,000 25,000 30,000 35,000 40,000 45,000
2014-15 2015-16 2016-17 2017-18 2018-19 2019-20
Kentucky Public Four-Year, AIKCU and KCTCS Institutions
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Dual credit participant characteristics
- More likely to be female and white or Asian.
- Less likely to be part of an underrepresented minority (URM)
group.
- Slightly more likely to be from low-income families (but less likely
if both low-income and minority).
- Starting in 2016, the percentage of Kentucky college students
with dual credit is higher than the percentage without, possibly due to CPE’s dual credit policy and Kentucky’s dual credit scholarships.
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Dual credit participants were more likely to persist to a second year of college.
90.1% 92.2%
89.0% 89.5% 90.0% 90.5% 91.0% 91.5% 92.0% 92.5%
Non-Participant Participant
Probability of Persistence
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Strongest Effect
- Low-Income/White or Asian
- Low-Income/URM
No Effect
- Underprepared
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Dual credit participants were more likely to
- btain a first-year GPA of 3.0 or higher
50.8% 60.0%
46.0% 48.0% 50.0% 52.0% 54.0% 56.0% 58.0% 60.0% 62.0%
Non-Participant Participant
Probability of Persistence
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Strongest Effect
- Low-Income/White or Asian
- Low-Income/URM
- Male
- C and B grade level students
*outcome variable continuous first-year GPA
No Effect
- Underprepared
- Not Low-Income/URM
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Twitter: CPENews and CPEPres Website: http://cpe.ky.gov Facebook: KYCPE
David Mahan
Associate Vice President, Data & Analytics
Jie ‘Grace’ Dai
Senior Associate, Data & Analytics
Melissa Young
Executive Director of Special Projects
Travis Muncie
Director, Data & Analytics