Health Specialties Teachers, Postsecondary

Prepare course materials, such as syllabi, homework assignments, and handouts.

AI: Fully automatable - AI can generate high-quality syllabi, homework, handouts, and other course materials tailored to objectives and standards, enabling full automation of material preparation with minor instructor review.

Maintain student attendance records, grades, and other required records.

AI: Fully automatable - Maintaining attendance, grades, and required records is an administrative task already handled end-to-end by AI/LMS integrations, so it can be fully automated.

Compile, administer, and grade examinations, or assign this work to others.

AI: Fully automatable - AI can compile question banks, generate and deliver exams (with proctoring aids), and auto-grade many item types and coordinate delegation, enabling full automation of routine examination workflows.

Prepare and deliver lectures to undergraduate or graduate students on topics such as public health, stress management, and work site health promotion.

AI: Fully automatable - By 2025 AI can generate accurate, curriculum-aligned lecture content and deliver it via text, slides, or high-quality synthesized audio/video, effectively preparing and delivering lectures with minimal human intervention for many topics.

Compile bibliographies of specialized materials for outside reading assignments.

AI: Fully automatable - Given access to databases and sources, AI can reliably search for, extract, format, and organize specialized citations and produce bibliographies quickly and accurately.

Evaluate and grade students' class work, assignments, and papers.

AI: Partial - AI can accurately grade objective items and draft feedback on essays, and can flag issues, but still struggles with nuanced, holistic, context-dependent evaluation that instructors provide.

Supervise undergraduate or graduate teaching, internship, and research work.

AI: Partial - AI can assist with scheduling, progress tracking, and feedback for teaching, internships, and research but cannot fully perform the mentorship, evaluation, and interpersonal oversight integral to supervision.

Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.

AI: Partial - AI can scan, summarize, and synthesize current literature and trends rapidly but cannot replicate the value of collegial discussions and active conference participation for professional development.

Perform administrative duties, such as serving as department head.

AI: Partial - AI can automate many administrative tasks (scheduling, reporting, drafting communications) but cannot fully assume leadership responsibilities, sensitive personnel decisions, or institutional accountability required of a department head.

Supervise laboratory sessions.

AI: Partial - AI can provide procedural guidance, simulations, and remote monitoring for lab sessions but cannot fully substitute for in-person safety oversight and hands-on instruction in many physical labs.

Plan, evaluate, and revise curricula, course content, course materials, and methods of instruction.

AI: Partial - AI can draft, model, and evaluate curricula and suggest pedagogical methods, but final planning, evaluation, and revisions require human judgment, accreditation considerations, and institutional context.

Maintain regularly scheduled office hours to advise and assist students.

AI: Partial - AI can provide scheduled virtual advising, answer questions, and triage cases but cannot fully replace in-person contextual judgment, institutional authority, and nuanced mentorship that faculty provide.

Initiate, facilitate, and moderate classroom discussions.

AI: Partial - AI can initiate and moderate online or hybrid discussions, prompt participation, and summarize debates, but struggles with complex group dynamics, conflict resolution, and real-time emotional cues in live classrooms.

Select and obtain materials and supplies, such as textbooks and laboratory equipment.

AI: Partial - AI can research, recommend, and even place orders for textbooks and equipment through integrated systems, but institutional procurement rules, approvals, and hands-on equipment selection still require human oversight.

Collaborate with colleagues to address teaching and research issues.

AI: Partial - AI can draft proposals, synthesize literature, and suggest collaborative plans, but cannot fully replicate the interpersonal negotiation, trust-building, and shared governance inherent in colleague collaboration.

Advise students on academic and vocational curricula and on career issues.

AI: Partial - AI can offer tailored curriculum and career advice based on data and labor-market signals, but lacks the full contextual understanding, credentialing authority, and long-term mentorship faculty provide.

Participate in student recruitment, registration, and placement activities.

AI: Partial - AI systems can automate large portions of recruitment communication, application processing, registration workflows, and candidate matching, yet in-person outreach, institutional decisions, and final placements often need human involvement.

Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.

AI: Partial - AI can analyze policy options, prepare briefs, and model outcomes for committees, but cannot hold institutional accountability, vote, or fully participate in governance and sensitive deliberations.

Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.

AI: Partial - AI can conduct literature reviews, run analyses, generate drafts, and even design computational experiments, but original hypothesis generation, ethical oversight, lab work, and final scholarly judgment remain partially human-driven.

Write grant proposals to procure external research funding.

AI: Partial - AI can research background literature and draft well‑structured proposals quickly, but cannot replace the PI's original research vision, institutional negotiation, and credibility needed to secure funding.

Act as advisers to student organizations.

AI: Partial - AI can advise student organizations on operations, event planning, and risk management, but cannot serve as an official institutional sponsor, provide in-person oversight, or assume liability for student activities.

Provide professional consulting services to government or industry.

AI: Partial - AI can generate technical analyses, models, and written recommendations useful for consulting, but cannot fully replicate the client relationship management, legal responsibility, and contextual judgment of a human consultant.

Participate in campus and community events.

AI: Partial - AI can assist with planning, promoting, and delivering remote presentations, but cannot fully substitute for in-person presence, community relationship building, and informal networking at campus events.