Expand the data collected and hosted by collecting additional early learning data, expanding organization data in the ODS (Office of Disability Services), and creating assessment converter tools.
Expand participation in SLDS by allocating ECDS adoption support, inputting new early learning data in studentGPS®, creating educator work groups, analyzing studentGPS® metrics, adding FHSP (Foundation High School Program) to studentGPS®, and supporting further studentGPS® adoption by local education agencies.
Improve transparency by providing better access to TEDS (Texas Education Data Standards) and studentGPS® metrics database.
Share new and existing analysis with the public by adding new early leaning reports in TPEIR (Texas Public Education Information Resource)
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.
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.