Find out more by visiting the TIA website by clicking HERE.
TIA is built for Texas school districts to designate and reward top-performing teachers. Teachers can earn one of three levels of designation – Recognized, Exemplary, or Master. Teachers with a National Board certification may be designated as Recognized.
The Teacher Incentive Allotment (TIA) is a key part of House Bill 3, dedicated to recruiting, supporting, and retaining highly effective teachers in all schools, with particular emphasis on high-needs and rural schools. Districts that choose to participate are charged with developing local teacher designation systems that measure teacher effectiveness based, at a minimum, on both teacher observation and student growth data. These systems must be submitted to the Texas Education Agency (TEA) for approval and undergo a data validation process, which will be conducted by Texas Tech University.
Teacher designations generate additional teacher-focused allotment funding for districts to reward and retain their most effective teachers. Teachers earn designations through two different routes. First, National Board Certified teachers are eligible to earn a Acknowledged designation. Second, districts may designate their effective teachers when they are approved for a local teacher designation system. The approval process is multi-step and includes the submission of a system application to the Texas Education Agency (TEA) and then a data validation process through Texas Tech University. New this year is the Acknowledged designation, which will apply beginning with 2025–2026 school year data.
Any number of teachers may be put forth for designation under a local designation system if they meet the district’s designation criteria and the eligibility requirements under the rules defined by the Texas Education Agency (TEA). TEA does not cap or limit the number of designations a district may issue.
Teachers with an active National Board Certification may automatically be designated as Acknowledged if they meet the eligibility requirements under the rules defined by TEA.
Presented By: Nicole Rodriguez & Christina Campbell
This PowerPoint presentation was shared with London ISD staff by Nicole Rodriguez and Christina Campbell in July of 2025 to provide an overview of the district’s Teacher Incentive Allotment (TIA) plan and additions. It outlines key components, eligibility criteria, growth measures, and implementation details specific to London ISD for the 2025-2026 school year.
*Please note that the new Acknowledged designation had not yet been approved at the time of this presentation.
2024-2025 Phase 1 (Year One) Eligible teaching assignments include:
✓ Reading/English: PK through Grade 8 Reading, Grade 5-8 Inclusion Support, and English 1-2
✓ Mathematics: Grades 2-8, Grades 5-8 Inclusion Support, and Algebra 1
✓ Science: Grades 5, 8, and Biology
✓ Social Studies: Grade 8 and U.S. History
2025-2026 Phase 2 (Year Two) Eligible teachers include:
The following core teachers will be added to the list shown above.
✓ Reading/English: English III, English IV
✓ Mathematics: Geometry, Algebra 2, Precalculus
✓ Science/CTE: Anatomy & Physiology, Pathophysiology, Forensic Science, Health Science, Medical Terminology, Scientific Research and Design, Culinary Arts, Floral Design, Principles of Agriculture, Principles of Business, Marketing & Finance, Principles of Hospitality, Professional Communications, Small Animal Management, Veterinary Medical Applications, Sports & Entertainment Marketing, Computer Science 1, Grade 7-8 Technology Applications
✓ Social Studies: Social Studies Grades 5-7, World Geography, World History, Government, Economics.
London ISD will use the following measurements for the local designation system:
Measure #1 50% Teacher Observation/T-TESS - Strongly calibrated teacher observation system which shows a congruence of observation scores to student growth.
Measure #2 50% Student Performance - Accurate and reliable measures of a teacher’s impact on student growth, with constant disaggregation and analysis of data to show a high level of validity and reliability.