Ac#onable ¡Data ¡to ¡Improve ¡Student ¡ Success ¡ ¡
EDUCATIONAL RESULTS PARTNERSHIP
Ac#onable ¡Data ¡to ¡Improve ¡ Student ¡Success ¡ ¡ Ken ¡Sorey ¡ Victoria ¡Pluim ¡
EDUCATIONAL RESULTS PARTNERSHIP Ac#onable Data to Improve - - PowerPoint PPT Presentation
EDUCATIONAL RESULTS PARTNERSHIP Ac#onable Data to Improve Ac#onable Data to Improve Student Student Success Success Ken Sorey Victoria Pluim Who We Are
Ac#onable ¡Data ¡to ¡Improve ¡Student ¡ Success ¡ ¡
Ac#onable ¡Data ¡to ¡Improve ¡ Student ¡Success ¡ ¡ Ken ¡Sorey ¡ Victoria ¡Pluim ¡
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¡ ¡
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72% 44% 50% White African American Hispanic
College Entry Rates for High School Graduates by Ethnicity
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Raise college graduation rates among minorities and the disadvantaged. Reduce inequities in education.
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Economic Productivity Requires
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What do employers need? What does student success look like? What do students need to succeed?
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workforce pipeline are key to student success
these choke points
the system
Early Childhood Education Third Grade Literacy 8th Grade Algebra College Ready Coursework Non- remedial Placement College Success Labor Market Alignment
What does ERP do?
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leaders
systems; colleges and universities; thought leaders
leader in educational systems/outcomes
educators/districts
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Maintains the nation’s largest
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Applies data analytics to uncover
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Documents and disseminates
(for free!)
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And copy it.
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Sample ¡District ¡ Sample ¡Local ¡College ¡
Sample ¡College ¡
27 27 Early Childhood Education Third Grade Literacy 8th Grade Algebra College Ready Coursework Non- Remedial Placement College Success Labor Market Alignment
for ¡the ¡test ¡
used ¡
system ¡that ¡will: ¡ ¡
– align ¡to ¡state ¡legisla#on ¡ – reduce ¡unnecessary ¡remedia#on ¡ ¡ – provide ¡statewide ¡efficiencies ¡ – effec#vely ¡support ¡faculty ¡and ¡staff ¡to ¡ensure ¡accurate ¡ student ¡placement, ¡resul#ng ¡in ¡more ¡successful ¡student ¡
– Math, ¡English, ¡English ¡as ¡a ¡second ¡language ¡(ESL) ¡
Predictive Analytics and Multiple Measures
systematically and substantially underestimate student capacity
generation college students, women
which to rebuild the foundations of community college education
students to succeed if given the chance
measurement as well as strong evidence
labyrinth of inescapable complexity for King Minos
Daedalus built wings of feather and wax for his son Icarus and himself
the wax and you plummet to your doom
invention, hubris,
limits, listening to your wiser elders
educational needs of students.
level for their skill
courses, persist to the next academic term, and achieve their educational objective(s) in a timely manner.
standardized assessment (WestEd, 2011)
and are likely to fail
1.34x .00 .30** 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4
CST ELA (z) Eng Grade (12) GPA (other)
Ordinal Regression Coefficients
Predicting Placement
* p <.05 **, p <.01, *** p<.001, x = p< 1 x 10-10 .17* .37*** .88x 0.0 0.2 0.4 0.6 0.8 1.0
CST ELA (z) Eng Grade (12) GPA (other)
Logistic Regression Coefficients
Predicting Performance
.75x .20 .00 0.0 0.2 0.4 0.6 0.8 1.0
CST Math (z) Last Math Grade HSGPA
Ordinal Regression Coefficients
Predicting Placement
.20* .25** .73x 0.0 0.2 0.4 0.6 0.8 1.0
CST Math (z) Last Math Grade HSGPA
Logistic Regression Coefficients
Predicting Performance
* p <.05 **, p <.01, *** p<.001, x = p< 1 x 10-10
perform at our colleges
tests
performance
than less info
6 districts covering >30 high schools and growing) were provided an alternative assessment
students using:
projected success rate higher than average success rate for that course.
Implementing Multiple Measures Placement: Transfer-level Placement Rates F2012
11% 7% 13% 9% 14% 9%
60% 31%
0% 10% 20% 30% 40% 50% 60% 70%
Transfer Level English Transfer Level Math
F2011 First time students F2011 LBUSD F2012 Promise Pathways
F2012 Promise Pathways
64% 55% 62% 51%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90%
English Math
First Cohort, F2012
Non-Pathways Promise Pathways
Neither of these differences approach significance, p >.30
67% 49% 79% 49%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90%
English Math
Most recent cohort, F2014
Non-Pathways Promise Pathways
English difference, p < .001
F2012 Promise Pathways vs. Fall 2011 2-year rates of achievement
13% 24% 3% 31%
23% 52% 20% 54%
0% 10% 20% 30% 40% 50% 60% Successfully Completed Transfer Math Successfully Completed Transfer English Successful Completion of English 3 Behavioral Intent to Transfer
F2011 LBUSD (N=1654) F2012 Promise Pathways (N=933)
29% 62% 38% 48% 72% 46% 52% 62% 51% 73% 71% 60% 0% 10% 20% 30% 40% 50% 60% 70% 80%
Math TL Placement Math TL Success Rates Math TL Cohort Completion English TL Placement English TL Success Rates English TL Completion
Traditional Placement Multiple Measures
transfer-level students each year in CA
(~40,000) .
(~60,000)
4% 13% 2% 15% 12% 25% 3% 32% 21% 24% 1% 33% 18% 34% 6% 41% 0% 10% 20% 30% 40% 50% 60% 70%
Transfer Math Successful Completion Transfer English Successful Completion English 3 Successful Completion Behavioral Intent to Transfer
F11 African Americans F11 Hispanic F11 Asian F11 White
12% 39% 18% 42% 21% 51% 17% 52% 26% 58% 23% 59% 36% 64% 28% 66% 0% 10% 20% 30% 40% 50% 60% 70%
Transfer Math Successful Completion Transfer English Successful Completion English 3 Success Behavioral Intent to Transfer
F12 African American F12 Hispanic F12 Asian F12 White
for state
students in one year.
their last year.
student capacity
hard to convince them that they’re not college material
instruction to Icarus
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And copy it.
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From pointing out failure to
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