Education Administrators, Postsecondary

Design or use assessments to monitor student learning outcomes.

AI: Fully automatable - AI can design assessments, deliver them digitally, auto-score responses, and analyze outcomes to monitor learning, enabling fully automated assessment design and use in many postsecondary contexts.

Determine course schedules, and coordinate teaching assignments and room assignments to ensure optimum use of buildings and equipment.

AI: Fully automatable - Constraint-optimization and scheduling algorithms can fully generate course schedules and coordinate teaching and room assignments from constraints and historical data with minimal human intervention.

Prepare reports on academic or institutional data.

AI: Fully automatable - AI systems can ingest academic data, perform analyses, generate visualizations and narratives, and produce standardized institutional reports end-to-end.

Coordinate the production and dissemination of university publications, such as course catalogs and class schedules.

AI: Fully automatable - AI systems can assemble, validate, format, schedule, and disseminate catalogs and schedules end-to-end with minimal human intervention.

Audit the financial status of student organizations and facility accounts.

AI: Fully automatable - AI can reconcile records, detect anomalies, and generate audit reports for student organizations and facility accounts, enabling routine audits to be fully automated.

Direct activities of administrative departments, such as admissions, registration, and career services.

AI: Partial - AI can automate workflows, monitor performance metrics, and generate recommendations for admissions, registration, and career services, but cannot assume ultimate leadership, accountability, or resolve complex interpersonal and policy conflicts.

Appoint individuals to faculty positions, and evaluate their performance.

AI: Partial - AI can screen CVs, quantify publications/teaching evidence, and draft evaluation summaries, but cannot make final hiring or tenure decisions that require holistic judgment, interviews, and legal/ethical accountability.

Develop curricula, and recommend curricula revisions and additions.

AI: Partial - AI can generate curricula, align learning objectives with standards, and propose data-driven revisions, but cannot finalize curricular changes that require faculty consensus, institutional priorities, and contextual judgment.

Recruit, hire, train, and terminate departmental personnel.

AI: Partial - AI can handle job posting, candidate sourcing, screening, and training content generation but cannot fully assume legally sensitive hiring and termination decisions that require human judgment and accountability.

Direct, coordinate, and evaluate the activities of personnel, including support staff engaged in administering academic institutions, departments, or alumni organizations.

AI: Partial - AI can coordinate schedules, monitor performance metrics, and provide recommendations, but cannot fully replace human leadership, conflict resolution, and contextual managerial decisions.

Consult with government regulatory and licensing agencies to ensure the institution's conformance with applicable standards.

AI: Partial - AI can analyze regulatory texts, produce compliance reports, and draft communications, but cannot conduct official negotiations or bear legal responsibility when consulting regulatory and licensing agencies.

Advise students on issues such as course selection, progress toward graduation, and career decisions.

AI: Partial - AI can provide degree audits, course recommendations, and career resources at scale, but complex personal, ethical, or high-stakes advising still requires human advisors.

Participate in student recruitment, selection, and admission, making admissions recommendations when required to do so.

AI: Partial - AI can automate recruitment outreach, score and rank applicants, and recommend admissions decisions using predictive models, but holistic review, equity considerations, and final admissions authority require human oversight.

Plan, administer, and control budgets, maintain financial records, and produce financial reports.

AI: Partial - AI can automate recordkeeping, reporting, forecasting, and control workflows, yet strategic budget decisions, approvals, and compliance oversight remain human responsibilities.

Formulate strategic plans for the institution.

AI: Partial - AI can analyze data, model scenarios, and draft strategic options, but ultimate formulation, stakeholder negotiation, and vision-driven choices require human leadership.

Establish operational policies and procedures and make any necessary modifications, based on analysis of operations, demographics, and other research information.

AI: Partial - AI can analyze operations and recommend policy or procedural changes, but establishing, validating, and authorizing institutional policies still needs human governance and contextual judgment.

Provide assistance to faculty and staff in duties such as teaching classes, conducting orientation programs, issuing transcripts, and scheduling events.

AI: Partial - Many support tasks (scheduling, transcript issuance, content for orientation, automated teaching aids) can be automated, yet hands-on teaching, nuanced orientation, and some staff support need human oversight.

Represent institutions at community and campus events, in meetings with other institution personnel, and during accreditation processes.

AI: Partial - AI can prepare materials, briefings, and even participate virtually, but representing an institution in person, building relationships, and handling accreditation negotiations require human presence and credibility.

Promote the university by participating in community, state, and national events or meetings, and by developing partnerships with industry and secondary education institutions.

AI: Partial - AI can support promotion via targeted outreach, content creation, and partner research, but effective relationship-building and in-person networking for partnerships still depend on humans.

Participate in faculty and college committee activities.

AI: Partial - AI can prepare agendas, summarize materials, and simulate contributions for committee work, but cannot authentically participate, represent stakeholders, or exercise the political judgment and relationship-building human administrators provide.

Teach courses within their department.

AI: Partial - AI can deliver lectures, generate materials, grade assignments, and provide tutoring, but cannot fully replicate the mentorship, real-time classroom leadership, and nuanced judgment of a human instructor.

Review student misconduct reports requiring disciplinary action, and counsel students regarding such reports.

AI: Partial - AI can analyze misconduct reports, suggest sanctions, and draft counseling communications, but adjudicating disciplinary cases, ensuring due process, and providing empathetic, context-sensitive counseling require human administrators.

Review registration statistics, and consult with faculty officials to develop registration policies.

AI: Partial - AI can review registration statistics, model demand, and draft policy options, but developing and implementing registration policies requires faculty consultation, negotiation, and institutional decision-making.

Confer with other academic staff to explain and formulate admission requirements and course credit policies.

AI: Partial - AI can draft, model, and explain admission and credit policy options but cannot fully replicate the interpersonal negotiation and institutional judgment required to confer with academic staff.

Direct and participate in institutional fundraising activities, and encourage alumni participation in such activities.

AI: Partial - AI can manage donor segmentation, generate personalized outreach, and run campaigns, but cannot fully replace high-touch relationship-building and stewardship central to fundraising leadership.

Direct scholarship, fellowship, and loan programs, performing activities such as selecting recipients and distributing aid.

AI: Partial - AI can screen applicants, apply eligibility rules, recommend recipients, and automate disbursements, but human oversight is typically required for ethical decisions, appeals, and policy exceptions.

Write grants to procure external funding, and supervise grant-funded projects.

AI: Partial - AI can write strong draft grant proposals and monitor compliance metrics, but supervising grant-funded projects requires human project management, stakeholder coordination, and judgement.

Plan and promote sporting events and social, cultural, and recreational activities.

AI: Partial - AI can plan event logistics and run promotion and registration processes, but on-the-ground coordination, vendor negotiation, and real-time problem-solving need human involvement.

Oversee facilities management for the university, including construction, repair, and maintenance projects.

AI: Partial - AI can optimize maintenance schedules, predict repairs, and assist project planning, but overseeing construction, contractor relations, and legal/compliance responsibilities requires human leadership.