Assist faculty or other instructional staff in postsecondary institutions by performing teaching or teaching-related duties, such as teaching lower level courses, developing teaching materials, preparing and giving examinations, and grading examinations or papers. Graduate teaching assistants must be enrolled in a graduate school program. Graduate assistants who primarily perform non-teaching duties, such as research, should be reported in the occupational category related to the work performed.
20 of 20 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Develop teaching materials, such as syllabi, visual aids, answer keys, supplementary notes, or course Web sites.
AI: Fully automatable - AI in 2025 can generate syllabi, slides, answer keys, supplementary notes, and build or update course websites to a high standard, with only light human review typically needed.
Inform students of the procedures for completing and submitting class work, such as lab reports.
AI: Fully automatable - Communicating procedures for completing and submitting work is a routine informational task that AI chatbots and automated communications systems can reliably perform.
Return assignments to students in accordance with established deadlines.
AI: Fully automatable - Returning assignments and issuing deadline-based notifications can be fully automated via LMS integrations and workflow automation tools.
Attend lectures given by the supervising instructor.
AI: Fully automatable - AI can reliably 'attend' lectures by recording, transcribing, summarizing, and extracting action items or questions without needing a human to be physically present.
Copy and distribute classroom materials.
AI: Fully automatable - Digital copying and distribution plus automated print-job submission and LMS/file-share integration are reliably automatable end-to-end by 2025 tools.
Notify instructors of errors or problems with assignments.
AI: Fully automatable - AI can automatically detect many errors in assignment files or metadata and send templated or customized notifications to instructors via email/LMS with high reliability.
Teach undergraduate level courses.
AI: Partial - As of 2025, AI can deliver lectures, present explanations, and run scripted instruction effectively but cannot fully replace human classroom management, real-time pedagogical judgment, and accreditation/mentorship responsibilities.
Evaluate and grade examinations, assignments, or papers and record grades.
AI: Partial - AI can fully automate grading for structured exams and assist with rubric-based scoring and record-keeping, but subjective assessment of nuanced papers still requires human oversight and calibration.
Lead discussion sections, tutorials, or laboratory sections.
AI: Partial - AI can facilitate and moderate online discussions and tutorials and provide guided lab instructions, but it cannot fully replicate in-person facilitation, hands-on supervision, or spontaneous group dynamics management.
Prepare or proctor examinations.
AI: Partial - AI can generate exam content and run automated online proctoring tools, but proctoring remains partially automatable due to reliability, privacy, and in-person supervision limits.
Tutor or mentor students who need additional instruction.
AI: Partial - AI tutors can provide personalized instruction, practice, and feedback, but genuine mentorship and emotionally attuned guidance still require human instructors.
Complete laboratory projects prior to assigning them to students so that any needed modifications can be made.
AI: Partial - AI can run simulations, validate protocols and identify probable issues in advance, but cannot physically execute many wet-lab or hands-on projects to verify needed modifications.
Demonstrate use of laboratory equipment and enforce laboratory rules.
AI: Partial - AI can produce high-quality demonstrations (videos, AR guidance) and monitor safety via sensors/cameras, but live in-person demonstration and authoritative enforcement of lab rules remain human-centric.
Provide assistance to faculty members or staff with laboratory or field research.
AI: Partial - AI can provide substantial support (literature review, data analysis, protocol drafting) but cannot perform hands-on experimental or field tasks that require physical presence and dexterity.
Meet with supervisors to discuss students' grades or to complete required grade-related paperwork.
AI: Partial - AI can prepare reports, summarize grades, and pre-fill paperwork, but formal meetings with supervisors and joint sign-offs typically need human-to-human discussion and accountability.
Schedule and maintain regular office hours to meet with students.
AI: Partial - Scheduling and hosting virtual office hours can be automated and conducted by AI, yet maintaining regular in-person availability and providing nuanced, empathetic support remain human tasks.
Order or obtain materials needed for classes.
AI: Partial - AI can handle online ordering, vendor integration and generate purchase requests but struggles with campus-specific approval workflows, special procurement rules, and exception handling that often require humans.
Arrange for supervisors to conduct teaching observations and provide feedback about teaching performance.
AI: Partial - Scheduling and arranging observations can be fully automated, but producing credible, context-sensitive evaluative feedback on teaching performance still typically requires human judgment.
Provide instructors with assistance in the use of audiovisual equipment.
AI: Partial - AI can provide remote diagnostics, step-by-step setup help and automated control for many AV systems, but hardware faults and some on-site troubleshooting still need human technicians.
Assist faculty members or staff with student conferences.
AI: Partial - AI can schedule conferences, prepare briefs, and take notes or draft follow-ups, but cannot fully replicate the interpersonal, confidential, and empathetic elements of in-person student conferences.