EDUCATIONAL RESULTS PARTNERSHIP Ac#onable Data to Improve - - PowerPoint PPT Presentation

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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


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Ac#onable ¡Data ¡to ¡Improve ¡Student ¡ Success ¡ ¡

EDUCATIONAL RESULTS PARTNERSHIP

Ac#onable ¡Data ¡to ¡Improve ¡ Student ¡Success ¡ ¡ Ken ¡Sorey ¡ Victoria ¡Pluim ¡

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  • Who We Are
  • Actionable Data
  • Predictive Analytics and Placement
  • Questions and Discussion

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¡ ¡

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The Pr The Problem:

  • blem:
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The Looming Shortage of The Looming Shortage of Educated W Educated Workers

  • rkers

Who will fill the demand?

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The Chal The Challenge lenge

72% 44% 50% White African American Hispanic

College Entry Rates for High School Graduates by Ethnicity

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An Economic Imperat An Economic Imperative ive

Raise college graduation rates among minorities and the disadvantaged. Reduce inequities in education.

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An Economic Imperat An Economic Imperative ive

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Economic Productivity Requires

EDUCATIONAL PRODUCTIVITY

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Educat Educational Pr ional Product

  • ductivity

ivity

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Begin at the end

What do employers need? What does student success look like? What do students need to succeed?

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Momentum Points Momentum Points

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  • Momentum points in the education-to-

workforce pipeline are key to student success

  • Lack of alignment in the pipeline perpetuates

these choke points

  • We can and must eliminate the choke points in

the system

Early Childhood Education Third Grade Literacy 8th Grade Algebra College Ready Coursework Non- remedial Placement College Success Labor Market Alignment

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What does ERP do?

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So… So…

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ERP: Structur ERP: Structure & Leadership e & Leadership

  • A 501(c)3 nonprofit
  • Board comprised of business and education

leaders

  • Close and cooperative relationships: K-12 school

systems; colleges and universities; thought leaders

  • President and Founder Jim Lanich, PhD, national

leader in educational systems/outcomes

  • 2015-16 goal: Make ERP’s work available to more

educators/districts

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What does ERP do? What does ERP do?

Maintains the nation’s largest

database on student achievement.

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What does ERP do? What does ERP do?

Applies data analytics to uncover

bright spots and find out why

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What does ERP do? What does ERP do?

Documents and disseminates

best practices to educators

(for free!)

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What does ERP do? What does ERP do?

Learn what works works

And copy it.

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16 ¡

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Public ¡K-­‑12 ¡Data ¡

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Public ¡K-­‑12 ¡Data ¡

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Public ¡K-­‑12 ¡Data ¡

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Public ¡K-­‑12 ¡Data ¡

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College-­‑Readiness ¡Charts ¡

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The ¡“How” ¡

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Transition Reports

Sample ¡District ¡ Sample ¡Local ¡College ¡

Sample ¡College ¡

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Related ¡Ini#a#ves ¡

  • Mul#ple ¡Measures ¡
  • Common ¡Assessment ¡
  • Foster ¡Youth ¡and ¡Financial ¡Aid ¡Dashboards ¡
  • CTE ¡Career ¡Pathways ¡Trust ¡
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Momentum Points Momentum Points

27 27 Early Childhood Education Third Grade Literacy 8th Grade Algebra College Ready Coursework Non- Remedial Placement College Success Labor Market Alignment

Placement ¡

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Momentum ¡Point: ¡ ¡Placement ¡

  • Tes#ng ¡and ¡placement ¡prac#ce ¡vary ¡widely ¡
  • Inaccurate ¡and ¡inefficient ¡placement ¡
  • High ¡rate ¡of ¡unnecessary ¡remedia#on ¡
  • Students ¡inconsistently ¡understanding ¡and ¡preparing ¡

for ¡the ¡test ¡

  • Tes#ng ¡and ¡remedia#on ¡is ¡expensive ¡
  • Mul#ple ¡Measures ¡inconsistently ¡or ¡inappropriately ¡

used ¡

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Common ¡Assessment ¡Goal ¡

  • To ¡develop ¡a ¡comprehensive, ¡common ¡assessment ¡

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 ¡

  • utcomes ¡
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Key ¡Objec#ves ¡

  • A ¡test ¡that ¡covers ¡curricular ¡areas ¡of ¡

– Math, ¡English, ¡English ¡as ¡a ¡second ¡language ¡(ESL) ¡

  • Mul#ple ¡Measures ¡(with ¡MMAP) ¡
  • Assessment ¡Prepara#on ¡(with ¡EPI/OEI) ¡
  • Professional ¡Development ¡
  • Integrate ¡data ¡across ¡the ¡system ¡
  • Align ¡where ¡possible ¡with ¡Common ¡Core/SBAC ¡
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Reimagining Student Capacity

Predictive Analytics and Multiple Measures

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Overview

  • Over-reliance on standardized assessment has led us to

systematically and substantially underestimate student capacity

  • Particularly for students of color, low income students, first

generation college students, women

  • Evidence-based, multiple measures is a key cornerstone on

which to rebuild the foundations of community college education

  • Demonstrates fundamental capacity of far more of our

students to succeed if given the chance

  • Powerful completion, equity, and real world implications
  • Based powerfully both on basic principles of assessment and

measurement as well as strong evidence

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But first, I digress

A little classics

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Daedalus and Icarus

  • Daedalus crafted the

labyrinth of inescapable complexity for King Minos

  • To escape from Minos,

Daedalus built wings of feather and wax for his son Icarus and himself

  • Don’t fly too high, lest sun melt

the wax and you plummet to your doom

  • Dangers of innovation/

invention, hubris,

  • Importance of knowing your

limits, listening to your wiser elders

  • But most of us forget the rest
  • f that story…
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Transition to College: Assessment and Placement

  • Community colleges are open enrollment

institutions

  • Requires assessing and planning for

educational needs of students.

  • Goal
  • Effectively place student at most appropriate

level for their skill

  • Ensure that all students complete their

courses, persist to the next academic term, and achieve their educational objective(s) in a timely manner.

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What we are actually doing: Community college student transition to college

  • Community colleges rely nearly entirely on

standardized assessment (WestEd, 2011)

  • Most CC students placed below college-level
  • Significant barrier (Bailey, Jeong, and Cho, 2010)
  • What does this mean?
  • First interaction is to tell students they don’t belong
  • Imply that most students are not ready for college

and are likely to fail

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What if?

  • What if the problem is not primarily

with our students but with limitations in how we have assessed and understood their capacity to do college-level work?

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LBCC Multiple Measures Research

  • Five cohorts tracking more than 7,000 HS

grads who matriculate to LBCC directly

  • Examined predictive utility of wide range
  • f high school achievement data
  • For predicting:
  • How students are assessed and placed
  • How students perform in those classes
  • (and alignment between them)
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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

Alignment in English

* 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

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.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

Alignment in Math

* p <.05 **, p <.01, *** p<.001, x = p< 1 x 10-10

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Key Takeaways

  • Assessment should predict how students will

perform at our colleges

  • Instead:
  • Current standardized tests predict standardized

tests

  • Classroom performance predicts classroom

performance

  • More info tells us more about student capacity

than less info

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Re-imagined student capacity

  • Starting in Fall 2012, students from LBUSD (now

6 districts covering >30 high schools and growing) were provided an alternative assessment

  • Reverse engineered the analysis to place

students using:

  • Last high school course in discipline
  • Grade in last course in discipline
  • Overall HSGPA
  • Last standardized test in discipline (and level)
  • Placed students in highest course where

projected success rate higher than average success rate for that course.

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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

  • Accuplacer Only

F2012 Promise Pathways

  • Multiple Measures
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But …

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… didn’t that just flood transfer- level courses with unqualified students?

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Comparison against traditional sequence: Success rates in transfer-level courses

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

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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)

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Conservative statewide projection of MMAP impact on transfer-level courses

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

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Multiple Measures means: Additional first time

transfer-level students each year in CA

  • Math: AT&T Park

(~40,000) .

  • English: Dodger Stadium

(~60,000)

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Equity impact: F2011 Baseline Equity Gaps for 2-year rates of achievement

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

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Equity impact: F2012 2-year rates of achievement

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

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What might this mean for students?

  • LBCC saved students >10,000 semesters (5000 years)
  • f unneeded remediation in first three years.
  • ~$250 per course for student (plus books!), $750 per course

for state

  • Bakersfield College saved 860 semesters for 370

students in one year.

  • Dramatic opportunity costs of college reduced
  • Median 2012 salary of “some college” is ~$30,000/year
  • Don’t lose their first year or median salary though, they lose

their last year.

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What is gained through reimagining student capacity

  • The ability to transform student outcomes
  • Powerful levers to address student equity gaps
  • A clarion call to reassess our understanding of

student capacity

  • An opportunity to stop meeting students at the front door to work so very

hard to convince them that they’re not college material

  • A renewed opportunity to collaborate with our K-12 educational partners
  • A critical reminder of Daedalus’ second

instruction to Icarus

  • It’s just as important not to fly too low.
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Your Thoughts!

  • ur Thoughts!

Questions?

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Closing Idea Closing Idea

Learn What Works

  • rks

And copy it.

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We’r e’re learning what works. e learning what works.

From pointing out failure to

Promoting Success

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LET’S CHANGE THE CONVERSATION