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Integrating Networked Communities and
Improvement Science
for Developmental Math
by Julie LaRoche
Research Problem
A persistent problem in the U.S. is the
failure rate in developmental math for
college-age students.
Approximately 60% of incoming
community college students are required
to take developmental math; 80% of these
students do not complete it.
Research Question
How can we structure and guide efforts to
improve efficacy reliably at scale for
developmental math?
Research Methods
●  Researched the Statway
developmental math program.
●  Reviewed Carnegie
Foundation publications.
●  Looked at other fields using
improvement science.
Case Study
●  Community College Pathways (CCP)
Network involves 6 foundations, 43
community colleges and universities
across 11 states.
●  In the first year, the Statway math
program tripled the success rate of
developmental math in half the time
compared to baseline.
CCP Results
Description % of students completing
developmental math with C
grade or better
# of students who
completed development
math
Baseline 17% over two years N/A
Statway results in 2011-12 51% in one year 1133
Statway results in 2012-13 52% in one year 1553
Statway target by 2016 50% in one year 7,500 annually
Student Demographics
Description %
Female 60%
Placed at least 2 levels below college-level math 71%
Raised in family with no maternal college education 69%
Raised in homes with English as a second language 40%
Race other than Caucasian 66%
Networked
Improvement Communities
●  Assemble diverse team with
clear leadership.
●  Set focused, attainable goals.
●  Set targets for measurable outcomes.
●  Implement hub for micro & macro
analytic activity.
Improvement Science
●  Plan-Do-Study-Act (PDSA).
●  Rapid prototyping (90-day
research cycles).
●  Frequent measures and reporting
to identify variables.
Conclusion
NICs and improvement science embrace:
•  Experiential learning to build
knowledge about varied, contextual
learning settings.
•  Use inter-institutional social learning
to build advocates for innovations.
•  Advance human capital and collective
knowledge to broaden innovations
across diverse audiences.

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ImprovementScience

  • 1. Integrating Networked Communities and Improvement Science for Developmental Math by Julie LaRoche
  • 2. Research Problem A persistent problem in the U.S. is the failure rate in developmental math for college-age students. Approximately 60% of incoming community college students are required to take developmental math; 80% of these students do not complete it.
  • 3. Research Question How can we structure and guide efforts to improve efficacy reliably at scale for developmental math?
  • 4. Research Methods ●  Researched the Statway developmental math program. ●  Reviewed Carnegie Foundation publications. ●  Looked at other fields using improvement science.
  • 5. Case Study ●  Community College Pathways (CCP) Network involves 6 foundations, 43 community colleges and universities across 11 states. ●  In the first year, the Statway math program tripled the success rate of developmental math in half the time compared to baseline.
  • 6. CCP Results Description % of students completing developmental math with C grade or better # of students who completed development math Baseline 17% over two years N/A Statway results in 2011-12 51% in one year 1133 Statway results in 2012-13 52% in one year 1553 Statway target by 2016 50% in one year 7,500 annually
  • 7. Student Demographics Description % Female 60% Placed at least 2 levels below college-level math 71% Raised in family with no maternal college education 69% Raised in homes with English as a second language 40% Race other than Caucasian 66%
  • 8. Networked Improvement Communities ●  Assemble diverse team with clear leadership. ●  Set focused, attainable goals. ●  Set targets for measurable outcomes. ●  Implement hub for micro & macro analytic activity.
  • 9. Improvement Science ●  Plan-Do-Study-Act (PDSA). ●  Rapid prototyping (90-day research cycles). ●  Frequent measures and reporting to identify variables.
  • 10. Conclusion NICs and improvement science embrace: •  Experiential learning to build knowledge about varied, contextual learning settings. •  Use inter-institutional social learning to build advocates for innovations. •  Advance human capital and collective knowledge to broaden innovations across diverse audiences.