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8/13/2019 Strengthening Multiple Measures of Assessment: Harnessing the Power of Alternative Assessment to Advance the Completion Agenda - 2013 Strengthening Student Success Conference
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Harnessing the Power of
Alternative Assessment to Advancethe Completion Agenda
Eloy Ortiz Oakley
Superintendent-President, Long Beach City College
Terrence Willett
Director of Planning and Research, Cabrillo College/RP Group Researcher
Patrick Perry
Vice Chancellor, CCCCO
Strengthening Student Success Conference Ocotber9, 2013
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LBCCs Research
Examined five cohorts of more than 7,000
LBUSD grads who attend LBCC directly
after high school
Determined strongest predictors ofsuccess in college courses
Improved alignment of assessment and
placement with evidence based
predictors of success
3
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Key Findings
1. Standardized tests predict standardized
tests very well but
2. Classroom performance predicts
classroom performance3. More information tells us more about our
students likelihood to succeed
Findings presentedreal opportunitiestosignificantly improve student placement and
achievement, and their college experience
4
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Reimagining the Transition to
College: Fall 2012 Promise Pathways
Predictive placement model using multi-
method, evidence-based assessment
Prescriptive, full-time course load via first-
semester success plan
Emphasis on Foundational Skills
English, Reading, Math
5
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11% 7%
13%
9%
60%
31%
0%
10%
20%
30%
40%
50%
60%
70%
Transfer Level English Transfer Level Math
F11 First time students F11 LBUSD F12 Promise Pathways
Alternative placement:Transfer-level Placement Rates
6
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F2012 Promise Pathways 1-year vs. F20066-year rates of achievement
5.1%
11.9% 12.9%15.0%
41.4%
35.9%
9.9%
27.3%
31.2%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
Successfully Completed
Transfer Math
Successfully Completed
Transfer English
Behavioral Intent to
Transfer
F2011 LBUSD (N=1660) F2012 Promise Pathways (N=976) F2006 LBUSD 6 Year Rate 7
8/13/2019 Strengthening Multiple Measures of Assessment: Harnessing the Power of Alternative Assessment to Advance the Completion Agenda - 2013 Strengthening Student Success Conference
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64%55%
62%
51%
0%
10%
20%
30%
40%
50%
60%
70%
Transfer Level English Transfer Level Math
Non-Pathways (n=2095 English, 1803 Math)
Promise Pathways (n=516 English, 156 Math)
Success rates in transfer-level coursesFall 2012
Neither of these differences approach significance, p >.30 8
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Equity Impact of Promise Pathways:
F2011 Baseline Equity Gaps
1%7% 5%
18%
11% 11%
21%
36%
4%
11% 11%
29%
10%
22% 22%
31%
0%
10%
20%
30%
40%
50%
60%
70%
Successfully
Completed Transfer
Math
Successfully
Completed Transfer
English
Behavioral Intent to
Transfer
Full-time, full year
F2011 Black F2011 Asian F2011 Hispanic F2011 White
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Equity Impact: F2012 Students of Color
Compared to F2011 White Baseline
6%
28% 28%
53%
15%
44%39%
65%
13%
40%
33%
62%
10%
22% 22%
31%
0%
10%
20%
30%
40%
50%
60%
70%
Successfully
Completed Transfer
Math
Successfully
Completed Transfer
English
Behavioral Intent to
Transfer
Full-time, full year
F2012 Black F2012 Asian F2012 Hispanic **F2011 White
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Equity gaps remain but significant gains for all
F2012 Students
6%
28% 28%
53%
15%
44%39%
65%
13%
40%
33%
62%
29%
57%52%
60%
0%
10%
20%
30%
40%
50%
60%
70%
Successfully
Completed Transfer
Math
Successfully
Completed Transfer
English
Behavioral Intent to
Transfer
Full-time, full year
F2012 Black F2012 Asian F2012 Hispanic **F2011 White
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Cohort 1 and 2 PromisePathways Demographics
15% 16%
53%
15%
2%
10% 12%
66%
10%
2%
0%
10%
20%
30%
40%
50%
60%
70%
African American Asian/PI/Filipino Hispanic White Unknown
F2012 (N=976) F2013 (N=1321)
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A BRIEF OVERVIEW
The Student Transcript-
Enhanced PlacementProject (STEPS)
13Harnessing the Power of Alternative Assessment to Advance the Completion Agenda
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What Are We Seeking to Do?
Examine the value of using transcripts as part of
the assessment process
Create predictive models using intersegmental
data to study students who had already takencommunity college courses
Use models to analyze how well transcript data
predicts the first English & math courses students
take and how well they do in them
Recruit colleges to do local analyses to generate
campus-specific insights and trigger CCC/K-12
conversations
14Harnessing the Power of Alternative Assessment to Advance the Completion Agenda
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In English
tests
predict tests,grades and courses
matter butvary by college
15
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16
Cox & Snell pseudo R-square ~ 0.35
Harnessing the Power of Alternative Assessment to Advance the Completion Agenda
01234
5678910
11
CST's A-G
Courses
HS
CourseLevel
HS
CourseGrade
HS GPA*
Coun
tofColleges
Showin
gSignificance
Predictor Variable Category
Predicting College English Level
Weakest
Intermediate
Strongest
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In math
tests
predict tests,but high school
level is alsoimportant
17
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18
Cox & Snell pseudo R-square ~ 0.50
Harnessing the Power of Alternative Assessment to Advance the Completion Agenda
01234
5678910
11
CST's A-G
Courses
HS
CourseLevel
HS
CourseGrade
HS GPA*
Coun
tofColleges
Showin
gSignificanc
e
Predictor Variable Category
Predicting College Math Level
Weakest
Intermediate
Strongest
8/13/2019 Strengthening Multiple Measures of Assessment: Harnessing the Power of Alternative Assessment to Advance the Completion Agenda - 2013 Strengthening Student Success Conference
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In English,
gradespredict
grades
19
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20
Cox & Snell pseudo R-square ~ 0.20
Harnessing the Power of Alternative Assessment to Advance the Completion Agenda
0123456789
1011
CST's A-G
Courses
HS
CourseLevel
HS
CourseGrade
HS
GPA*
College
CourseLevel
Coun
tofColleges
Showin
gSignificance
Predictor Variable Category
Predicting College English Success
Weakest
Intermediate
Strongest
8/13/2019 Strengthening Multiple Measures of Assessment: Harnessing the Power of Alternative Assessment to Advance the Completion Agenda - 2013 Strengthening Student Success Conference
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In math,success
predictors
vary by
college
21
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22
Cox & Snell pseudo R-square ~ 0.20
Harnessing the Power of Alternative Assessment to Advance the Completion Agenda
0123456789
1011
CST's A-G
Courses
HS
CourseLevel
HS
CourseGrade
HS
GPA*
College
CourseLevel
Coun
tofColleges
Showin
gSignificance
Predictor Variable Category
Predicting College Math Success
Weakest
Intermediate
Strongest
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What Does This Mean?
There is a disconnect between test scoresand performance in the first course taken
at many institutions
Using transcript elements would help torefine assessment
The relative weight of variables might be
influenced by local factors, due toconsiderations such as articulation and
curriculum
23Harnessing the Power of Alternative Assessment to Advance the Completion Agenda
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What Happens Next?
Updating the statewide analysis
Encouraging more colleges to replicate the study
so they understand the value of transcript data for
their own students
Starting conversations about how the study relates
to other aspects of developmental education
reformsuch as alignment, course offerings, and
curriculum Helping to develop a tool that enables colleges to
access high school data to inform multiple
measures assessment
24Harnessing the Power of Alternative Assessment to Advance the Completion Agenda
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Chancellors Office Multiple
Measure Warehouse ProjectPatrick Perry
Vice Chancellor of Technology,Research & Information Systems
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Common Assessment Project
AB743 passed in 2011 (AB743, Block): BOG shall establish a common assessment system
to be used as one of multiple measures for
placement and advisement
Ongoing funding provided in 2013-14 budget for
project
RFA to move $$ to district currently underway
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Common Assessment Project
Project intends to:
Identify a common, systemwide assessment for
math, English, ESL
Provide the assessment at no cost to districts forunlimited usage
Provide for score portability statewide
Create a multiple measures data warehouse toenhance placement activities
8/13/2019 Strengthening Multiple Measures of Assessment: Harnessing the Power of Alternative Assessment to Advance the Completion Agenda - 2013 Strengthening Student Success Conference
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Multiple Measures Warehouse
Will include:
Outcomes of the common assessments
CCC statewide MIS Enrollment data
EAP scores
CAHSEE scores
All HS math and English enrollment records, GPAs
(likely through 11thgrade)
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Multiple Measures Warehouse
Application will be written allowing a student
placement profile to be viewed by student
services personnel
big data predictive analytics applied to
multiple measures variables to assist in
placement effectiveness
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Contact Information
Eloy Ortiz Oakley
Terrence Willett [email protected]
Patrick Perry
30
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Additional Resources More information about Long Beach City College's research
http://bit.ly/PathwaysResearch
More information about the RP Groups Student Transcript-
Enhanced Placement (STEPS) Project
http://bit.ly/RPSTEPS
Step by Step process for replicated the research andplacement:
http://bit.ly/RPSTEPS2
Jobs for the Future Report: Where to Begin?: The Evolving Role
of Placement Exams for Students Starting College http://bit.ly/JFFReport
CCRC research on Assessment, Placement, and Progression in
Developmental Education
http://bit ly/CCRCAssess 31
http://bit.ly/PathwaysResearchhttp://bit.ly/RPSTEPShttp://bit.ly/RPSTEPS2http://bit.ly/JFFReporthttp://bit.ly/CCRCAssesshttp://bit.ly/CCRCAssesshttp://bit.ly/JFFReporthttp://bit.ly/JFFReporthttp://bit.ly/RPSTEPS2http://bit.ly/RPSTEPS2http://bit.ly/RPSTEPS2http://bit.ly/RPSTEPShttp://bit.ly/RPSTEPShttp://bit.ly/PathwaysResearchhttp://bit.ly/PathwaysResearchhttp://bit.ly/PathwaysResearch