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Local Vertical Alignment Through
Data-Driven Decision Making
Dr. Colby Stoever
April 4, 2011
• Inability to coordinate between secondary and postsecondary educational levels
• Inability to share and understand data
• Inability to make data-driven improvements to institutional processes
2
These barriers negatively impact
student enrollment and persistence,
time-to-degree,
and degree completion in Texas postsecondary education.
3
• Eliminate barriers to sharing student-level data across educational segments
• Provide resources to make data more accessible to educators and policy-makers at all levels
• Provide training in reading, interpreting, and using data to improve curriculum and institutional processes
• Improve student outcomes by giving educators the data, knowledge, and the training to make data-driven decisions
• Provide evaluation of interventions and systemic policy changes generated as a result of Pathways
• Provide a forum to communicate education improvements to a statewide audience of educational practitioners 4
Highest H.S. Math Course Taken by Students Entering Community College
Region A
5%
18%
1%
68%
8%
AP Calc
Pre-Calc
Stats
Algebra 2
BelowAlgebra 2
Region B
6%
29%
0%52%
13%
AP Calc
Pre-Calc
Stats
Algebra 2
BelowAlgebra 2
The level of content knowledge can be different between regions.
5
First College Math Course at a 2-year institutionStudents who Passed Algebra 2 in High School (H.S.)
H.S. Graduates 3 years of Cohort Data
Region A
55%
37%
7%
*
*
0% 20% 40% 60% 80% 100%
DE Math
Inter. Algebra
Algebra
Pre-Calc
Calc/Other
Region B
44%
12%
43%
*
*
0% 20% 40% 60% 80% 100%
DE Math
Inter. Algebra
Algebra*
Pre-Calc
Calc/Other
Different institutional policies can cause large differences in student experience.
6
First College Math Course at a 2-year institution Pass RatesStudents who Passed Algebra 2 in H.S.H.S. Graduates 3 years of Cohort Data
Location A
71%
57%
62%
*
*
0% 20% 40% 60% 80% 100%
DE Math
Inter. Algebra
Algebra
Pre-Calc
Calc/Other
Location B
49%
41%
33%
*
*
0% 20% 40% 60% 80% 100%
DE Math
Inter. Algebra
Algebra
Pre-Calc
Calc/Other
Different institutional policies can cause large differences in placement and success.
7
Starting College Developmental Education (DE) Course Level For Math StudentsTracked for Three YearsFTIC Fall 2006 Cohort
17.3%
27.3%
22.0%
9.1%
24.4%
0
200
400
600
800
1000
1200
No Math CourseTaken
Lowest Level ofMath DE
Medium Level ofMath DE
Highest Level ofMath DE
Credit BearingMath Course
58.4% of Students started in DE Math
Students that transferred to other institutions were removed from this report..
Institutional policies and lack of data resources can impact negatively impact students.
8
100%*
57.3%*
29.4%*
15.7%*8.5%*
0
200
400
600
800
1000
1200
All Students Passed LowestDE Course
Passed MediumDE Course
Passed HighestDE Course
Passed CreditCourse
Tota
l Stu
de
nts
Flow of Math Developmental Education Students Starting at the Lowest Level of Developmental Education
Tracked for Three YearsFTIC Fall 2006 Cohort
*All percentages are based on the total number of FTIC students that started at the lowest level of developmental education.
Students that transferred to other institutions were removed from this report.
Institutional policies and lack of data resources can impact negatively impact students.
9
• Form Regional Partnerships– Use feeder patterns to determine partners– Develop data sharing agreements– Coordinate data collection– Form subject area Vertical Teams (VTs)
• Increase P-16 Data Access– Generate regional reports– VTs review reports– VTs request data specific to regional needs
• Increase Understanding of Data– Train VTs to interpret data and reports– Formative evaluation of training– Modify training and reports
10
11
Regions
• El Paso
• Houston 1
• Houston 2
• Rio Grande Valley
• San Antonio
Number of Institutions
• 40 ISD’s
• 13 Community Colleges
• 9 Universities
12
Regional Coordinator
Secondary Co-Chair Postsecondary Co-chair
Secondary and PostsecondaryContent Team Members
12-15
Each Region has at least 4 content area teams.
13
• The heart of the Texas Pathways
• Meet once a month for ~2 hours
• Develop interventions and system policy change
• Complete work outside of team meetings
• Co-chairs (vertical team leaders) have numerous responsibilities
14
• Advise co-chairs on their duties and help them build leadership abilities
• Provide direct links to state and local educational leadership
• Ensure the teams needs are met
15
Senior Research Specialist(3/4 Time)
16
• Collects and stores all Pathways data
• Generates and writes all data reports for the vertical teams
• Provides all data training for vertical teams
• Evaluates content team interventions
• Provides technical support in the form of research and evaluation expertise
• Maintains and supports the statewide project
• Provides team website and data access portals
17
18
Strategies(Interventions)
Inputs Outputs Short-Term Impacts(1-4 years)
Form Regional Partnerships•Use feeder patterns to determine partners•Develop data sharing agreements•Coordinate data collection•Form subject area Vertical Teams (VTs
•THECB research staff•THECB data collection staff•Institutional research staff from regional partners•Regional partners program staff•Regional program director (regional coordinator)•Large data storage•Team start-up funds•Vertical Team Members
•# of regional partnerships•# of data sharing agreements•# of Vertical Teams•# of subject area curriculum revisions•# of systematic policy changes•↑ the # of secondary/Post secondary interventions•Team satisfaction•Regional Program director satisfaction•Regional partners satisfaction
•Subject area curricular alignment between post-secondary institutions and feeder high schools•↑ Postsecondary enrollment•↓ Developmental course enrollment•↑ College readiness assessment scores•↓ student’s educational costs •↑ Retention rates•↑1st year course completion•↑1st & 2nd year persistence rates•↑ communication and understanding between educational segments •↑ communication between regional and state policy-makers
19
Strategies(Interventions)
Inputs Outputs Short-Term Impacts(1-4 years)
Increase P-16 Data Access•Generate regional reports•VTs review reports•VTs request data specific to regional needs
•THECB research staff•Regional program director (regional coordinator)•Web designer•Secure data portal•THECB evaluation staff
•# of reports produced•# of special data requests•# of special reports produced•# of presentations to stakeholders•Data access satisfaction
•Improved P-16 data access•↑ Data-driven decisions• Improve statewide data reports based on Pathways information•↑ use of data sources outside of pathways
20
Strategies(Interventions)
Inputs Outputs Short-Term Impacts(1-4 years)
Increase Understanding of Data
•Train VTs to interpret data and reports•Formative evaluation of training•Modify training andreports
•Training materials•Trainers•VT members•Regional program director (regional coordinator)•THECB research staff•THECB Evaluation Staff
•# of trainings•# of people trained•Training satisfaction•Report satisfaction•Process satisfaction
•Improved understanding of P-16 data•↑ Data-driven decisions•Improve statewide data reports based on Pathways information• ↑ use of data sources outside of Pathways
21
• Increase graduation rates (secondary and postsecondary)
• Increase certificates and degrees awarded
• Increase transfer rates between 2-year and 4-year institutions
• Increase the number of STEM field majors
• Decrease time to degree
• Decrease credits to degree
• Comparable and valid metrics for all regions to inform state-level education decisions and policy
• Increase 3rd & 4th year persistence rates22
• Vertical team members with the time to solve problems
• Strong co-chair leadership
• Funds to start team interventions
• Increased training for vertical team members
• Decrease time to generate data reports
• Dedicated statewide program coordinator (1 FTE)
• Dedicated statewide program evaluator (1 FTE)
• Dedicated statewide researcher (1 FTE)
• Funds to expand23