Grantee State - Texas
Websites:
2009-ARRA Grant Application
Texas Longitudinal Data System
Start Date: 7/1/2010
End Date: 6/30/2013
Project Director: Sharon Gaston
Amount Awarded: $18,195,078
Project Application 
25.8 MB
Project Abstract 255 KB
Major Outcomes:
- Integrate key data into the P-20 Data Warehouse to better understand students' preparedness to contribute to the twenty-first century workforce
- Load existing college readiness test score collections into the LDS
- Expand the LDS to include pre-K, kindergarten and workforce data
- Alleviate data collection burden on districts and improve data quality
- Realign statewide collection standards and protocols for districts
- Expand the architecture to support new standards and collection platform
- Automate data collection through the development of a state-sponsored SIS
- Develop data services and loading the District Connections Database
- Create District Connections Database extract certification and validation tools
- Deploy statewide data collection and management platform pilot
- Build performance management culture that uses data to continuously improve performance
- Develop timely, relevant reports and user-friendly tools for stakeholders
- Ensure compliance with Federal reporting and SFSF requirements
- Linkage of the enhanced PEIMS and EDC collections will be established through TPEIR.
- Improve accessibility of new and existing data - and functionality of systems - for basic level research and reporting, leading to improved student performance.
- A web portal hosted at TEA will provide access to a set of standardized aggregate reports for school administrators to follow the performance of their graduates in post-secondary education.
- Aggregate level data will be available for analysis of student performance by classroom and teacher attributes.
- School administrators will be able to run ad hoc reports against aggregate data, and select comparison groups based on student or teacher characteristics.
- Training in how to access data through the user interface will be completed (primary audience: ESCs, school districts).
- Facilitate the use of data for decision-making and research to improve student performance by working with key stakeholders to demonstrate the data's value.
- "Customized analytics" pilot completed.
- "Anonymous cohorts" pilot completed.
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2009 Grant Application
Texas Longitudinal Data System
Start Date: 7/1/2009
End Date: 6/30/2014
Project Director: Sharon Gaston
Amount Awarded: $7,879,785
Project Application 4.0 MB
Project Abstract 93 KB
Major Outcomes:
- Improve the robustness of existing databases by adding student performance and teacher data at the classroom level, K-20.
- PEIMS data collections will be expanded: Classroom level data and course completion data will be collected for grades 1-12.
- EDC data collection will be expanded to receive student/class data including grades and links to faculty, grades 13-20.
- K-12 districts and institutions of higher education will be trained and will have modified their systems to meet new reporting requirements.
- Linkage of the enhanced PEIMS and EDC collections will be established through TPEIR.
- Improve accessibility of new and existing data - and functionality of systems - for basic level research and reporting, leading to improved student performance.
- A web portal hosted at TEA will provide access to a set of standardized aggregate reports for school administrators to follow the performance of their graduates in post-secondary education.
- Aggregate level data will be available for analysis of student performance by classroom and teacher attributes.
- School administrators will be able to run ad hoc reports against aggregate data, and select comparison groups based on student or teacher characteristics.
- Training in how to access data through the user interface will be completed (primary audience: ESCs, school districts).
- Facilitate the use of data for decision-making and research to improve student performance by working with key stakeholders to demonstrate the data's value.
- "Customized analytics" pilot completed.
- "Anonymous cohorts" pilot completed.
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WDQI Grant Application
Project Application 2.2 MB
