Teaching Assistant Institute
The Teaching Assistant Institute (TAI), hosted by the Graduate and Professional School and the Center for Teaching Excellence, is a university-mandated one day face-to-face workshop with additional online modules designed to prepare graduate students for college classroom teaching. TAI is offered every year at the beginning of the fall and spring semesters and is required for new TAs who serve as recitation leaders, laboratory instructors, and/or full responsibility lecturers. TAI is a component of the Teaching Assistant Training and Evaluation Program (TATEP).
The Spring 2025 TAI will be held in January 2025.
Spring 2025 TAI Dates:
To earn the TAI Certificate of Completion and receive TATEP compliance for the Teaching Assistant Institute, each new TA must:
1) Register for a TAI session in the Event Registration System by Wednesday, January 22, 2025, using this link https://ers.tamu.edu/event/10998. Registration is open now. New TAs are encouraged to register early. The Spring 2025 TAI sessions will be held in the John R. Blocker Building (BLOC) located at 155 Ireland Street, College Station, Texas 77840. Please arrive for check-in at 7:15 AM. The Institute begins promptly at 8:00 AM and ends at 4:30 PM. You must attend and complete all the face-to-face modules to receive credit for the TAI. Lunch will be provided. If you have dietary restrictions, please follow the instructions on the registration page.
2) Complete the TAI content modules and quizzes in Canvas prior to January 24, 2025. New TAs will be given access to the modules in Canvas following registration for a TAI session (See item 1.) TAs should allow between 3-5 business days for modules to appear in their Canvas dashboards. TAI content modules and quizzes should be completed before the face-to-face training.
3) Complete the Family Educational Rights and Privacy Act (FERPA) training on TrainTraq (course number 11012) prior to the start of the semester. FERPA training is required for all faculty and staff (including TAs) who have access to student records and information. TAs may need to wait until they have been added to the payroll system to access TrainTraq.
The Spring 2025 TAI will be held in January 2025.
Spring 2025 TAI Dates:
| Session Dates: 8:00 am to 4:30 pm | Departments/Colleges | Location |
| Tuesday - January 7, 2025 | All Departments and Colleges | John R. Blocker Building - First Floor |
| Saturday - January 25, 2025 (Make-up session) | All Departments and Colleges | John R. Blocker Building - First Floor |
*Check-in 7:15-7:45am
Registration is OPEN now.
To earn the TAI Certificate of Completion and receive TATEP compliance for the Teaching Assistant Institute, each new TA must:
1) Register for a TAI session in the Event Registration System by Wednesday, January 22, 2025, using this link https://ers.tamu.edu/event/10998. Registration is open now. New TAs are encouraged to register early. The Spring 2025 TAI sessions will be held in the John R. Blocker Building (BLOC) located at 155 Ireland Street, College Station, Texas 77840. Please arrive for check-in at 7:15 AM. The Institute begins promptly at 8:00 AM and ends at 4:30 PM. You must attend and complete all the face-to-face modules to receive credit for the TAI. Lunch will be provided. If you have dietary restrictions, please follow the instructions on the registration page.
2) Complete the TAI content modules and quizzes in Canvas prior to January 24, 2025. New TAs will be given access to the modules in Canvas following registration for a TAI session (See item 1.) TAs should allow between 3-5 business days for modules to appear in their Canvas dashboards. TAI content modules and quizzes should be completed before the face-to-face training.
3) Complete the Family Educational Rights and Privacy Act (FERPA) training on TrainTraq (course number 11012) prior to the start of the semester. FERPA training is required for all faculty and staff (including TAs) who have access to student records and information. TAs may need to wait until they have been added to the payroll system to access TrainTraq.