Increasing Student Transition and Success: - PowerPoint PPT Presentation

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Increasing Student Transition and Success:

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According to a recent report issued by the Stanford University Bridge Project: ... Troubling Indicators - High HS drop-out rate. Up to 50% in large urban districts ... – PowerPoint PPT presentation

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Title: Increasing Student Transition and Success:


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

5
(No Transcript)
6
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
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
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
10
(No Transcript)
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
16
(No Transcript)
17
(No Transcript)
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 n2,764) 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 lt 7 Units Bio lt 7.500 Units
Health lt 0.750 Chem courses lt 0.500 ? Other
Degree (1,019 0.755) Chem courses gt
0.500 Last math lt 6 ? Health Degree (154
0.442) Last math gt 7 ? STEM Degree (52
0.538) Units Health gt 0.750 Time between CC
and Univ lt -1.875 ? STEM Degree (50
0.46) Time between CC and Univ gt -1.875 ?
Health Degree (126 0.833) Units Bio gt 7.500
Time to degree lt 1.562 ? STEM Degree (37
0.892) Time to degree gt 1.562 ? Health Degree
(687 0.846) Last Math gt 8 Health courses lt
0.500 ? STEM Degree (634 0.852) Health courses
gt 0.500 ? Health Degree (60 0.5)
22
How to Contact Us
  • Terrence Willett
  • Director of Research
  • twillett_at_calpass.org
  • (831) 277-2690
  • Nathan Pellegrin
  • Research Analyst
  • npellegrin_at_calpass.org
  • (619) 933-3973
  • Eden Dahlstrom
  • Assistant Director of Regional Collaboration/Resea
    rch Analyst
  • edahlstrom_at_calpass.org
  • (530) 204-7129
  • www.calpass.org
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