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Increasing Student Transition and Success:

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1 Increasing Student Transition and Success:
Cal-PASS California Partnership for Achieving Student Success

2 A Matter of Misalignment
According to a recent report issued by the Stanford University Bridge Project: “…the coursework between high school and college is not connected; students graduate from high school under one set of standards and, three months later, are required to meet a whole new set of standards in college.”

3 Troubling Indicators - High HS drop-out rate
Up to 50% in large urban districts - Poor transition rates from HS to college - Significant remediation needs in higher education Over 70% in Community Colleges Almost 50% in California State Universities Over 30% in University of California

4 What is Cal-PASS? Publicly funded initiative
Links primary, secondary and post-secondary institutions on a regional basis Tracks students from one segment to the next Engages faculty across segments in instructional conversations Includes over 3,000 K-12 schools, community colleges, and universities throughout California

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6 Continuity/Alignment Innovation Evaluation Expansion
Cal-PASS Principles Collaboration Discovery Continuity/Alignment Innovation Evaluation Expansion

7 Making Cal-PASS Work: Intersegmental Professional Learning Councils
English Mathematics Counseling EL Tech Prep Science

8 First math class attempted in community college
Relation between last math passed at Alpha High School and first math attempted at Beta College Red = attempted class in college lower than that already passed in high school Gold = attempted class in college equal to that already passed in high school Green = attempted class in college higher than that already passed in high school First math class attempted in community college Total Basic Math Pre-Alg Beg Alg Geo Int Alg Stats+ Pre-Calc Calc % N Max HS math with grade of C or better 11% 14% 41% 1% 28% 5% 0% 100% 730 * 10% 42% 29% 2% 1291 3% 49% 9% 1758 47% 21% 13% 5966 26% 19% 4% 238 38% 2485 48% 585 320 377 2232 101 4824 2743 1775 682 13054

9 Relation between last math passed at Alpha High School and success in first math attempted at Beta College Red = attempted class in college lower than that already passed in high school Gold = attempted class in college equal to that already passed in high school Green = attempted class in college higher than that already passed in high school Success rate (grade of C or better) in first math class attempted in community college Basic Math Pre-Alg Beg Alg Geo Int Alg Stats+ Pre-Calc Calc Total Max HS math with grade of C or better 57% 58% 44% * 45% 56% 86% 49% 100% 60% 41% 72% 50% 46% 76% 67% 54% 61% 78% 75% 64% 59% 68% 69% 70% 79% 92% 74% 91% 87% 80% 82% 55% 66%

10 Rank Description 1 Basic Math 2 Pre-Algebra 3 Beginning Algebra 4 Geometry 5 Intermediate Algebra 6 Statistics/Finite/Discrete/Other Transferable Math 7 Advanced Algebra/College Algebra/Precalculus/Trigonometry 8 Calculus 9 Linear Algebra/Diff Eq/Other higher math

11 Relationship between sequence in which math courses were taken in high school and the level of the first math class attempted at a local community college Red = attempted class in college lower than that already passed in high school Gold = attempted class in college equal to that already passed in high school Green = attempted class in college higher than that already passed in high school

12 Success* in First Community College Math Course after Successfully Completing High School Math by Senior Math Status

13 Relationship between the last English class passed at Alpha High School and the first English class attempted at Beta College

14 Success in a Community College Biology Course by Highest Level of English Completed in High School

15 Misclassification Rate = 35%

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18 Transition pathways from last community college math at nearby feeder colleges to first math at the local CSU campus (STEM = Science, technology, engineering, math)

19 Exploratory Analysis on Science, Technology, Engineering, and Math (STEM) Pathways from Community College to University Use classification and regression tree (CART) to predict degree based upon: Highest level math completed at community college Number of classes passed and units earned at a CC in Biology, Chemistry, Physics, Mathematics Financial aid, time at CC, time at university, time to degree, zip code Whether student had same major in first and last university term Ethnicity, gender, age, disability status

20 Using CART to Predict Degree
Highest level math completed at community college (available for n=2,764) correctly predicted 49% of balanced sample compared to 33% with random guess Using all variables correctly predicted 76% of balanced sample compared to 33% with random guess Using all variables correctly predicted 90% of total sample compared to 88% for guessing “other” for all degrees

21 Model using CART on balanced sample
Last Math <= 7 Units Bio <= 7.500 Units Health <= 0.750 Chem courses <=  Other Degree (1,019; 0.755) Chem courses > 0.500 Last math <= 6  Health Degree (154; 0.442) Last math >= 7  STEM Degree (52; 0.538) Units Health > 0.750 Time between CC and Univ <=  STEM Degree (50; 0.46) Time between CC and Univ >  Health Degree (126; 0.833) Units Bio > 7.500 Time to degree <=  STEM Degree (37; 0.892) Time to degree >  Health Degree (687; 0.846) Last Math >= 8 Health courses <=  STEM Degree (634; 0.852) Health courses >  Health Degree (60; 0.5)

22 Assistant Director of Regional Collaboration/Research Analyst
How to Contact Us Terrence Willett Director of Research (831) Nathan Pellegrin Research Analyst (619) Eden Dahlstrom Assistant Director of Regional Collaboration/Research Analyst (530)


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