Computer Science Teachers, Postsecondary

Prepare and deliver lectures to undergraduate or graduate students on topics such as programming, data structures, and software design.

AI: Fully automatable - By 2025 AI can generate high-quality lecture content and deliver it via recorded presentations, automated tutors, or interactive dialogue systems that cover standard computer science topics with minimal human intervention.

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

AI: Fully automatable - AI tools in 2025 can produce syllabi, homework, handouts, and other course materials tailored to learning objectives and constraints with little human effort.

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

AI: Fully automatable - Maintaining attendance, grades, and records is routine administrative work that LMSs and AI systems can fully manage and update reliably by 2025.

Compile bibliographies of specialized materials for outside reading assignments.

AI: Fully automatable - AI can rapidly search scholarly databases, identify relevant works, and format citations to compile specialized bibliographies with high accuracy and speed.

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

AI: Partial - AI can fully auto-grade objective and many coding assignments and provide draft feedback on papers, but nuanced, holistic evaluation and judgement about originality and higher-level arguments still require human oversight.

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

AI: Partial - AI can compile exam items and automatically grade many formats and support proctoring, but secure administration of high‑stakes exams and complex subjective grading often need human control or validation.

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

AI: Partial - AI can analyze learning outcomes and propose curriculum revisions and new pedagogical methods, but final planning and institutional/accreditation decisions still require human expertise and context.

Initiate, facilitate, and moderate classroom discussions.

AI: Partial - AI can initiate and moderate online discussions and prompt student engagement, but facilitating live, nuanced classroom discourse and socioemotional dynamics remains partially human-dependent.

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

AI: Partial - AI can continuously scan and summarize new literature and conference outputs, but meaningful professional networking and interpretive judgment from colleague interactions and conference participation are not fully automatable.

Maintain regularly scheduled office hours to advise and assist students.

AI: Partial - AI can provide ongoing advising and tutoring at scale, yet scheduled office hours that involve mentorship, sensitive advising, and career guidance still benefit from human involvement.

Supervise students' laboratory work.

AI: Partial - AI can support and remotely monitor laboratory activities and virtual labs, but in‑person lab supervision for safety, complex hands‑on mentoring, and real‑time troubleshooting is not fully automatable.

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

AI: Partial - AI can provide tailored curriculum and career suggestions and predictive analytics but lacks the contextual judgment, institutional authority, and trusted personal mentorship to fully replace human advisors.

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

AI: Partial - AI can research and recommend textbooks and lab equipment and automate parts of ordering, but procurement approvals, budgeting, vendor relations, and physical receipt typically require human or institutional action.

Collaborate with colleagues to address teaching and research issues.

AI: Partial - AI can generate proposals, analyze teaching and research data, and facilitate communication, but cannot participate as an autonomous colleague in decision-making, negotiation, and social consensus building.

Maintain computer equipment used in instruction.

AI: Partial - AI can diagnose software and configuration issues remotely, guide repairs, and run automated maintenance scripts, but cannot perform onsite physical hardware repairs or hands‑on replacements autonomously.

Direct research of other teachers or of graduate students working for advanced academic degrees.

AI: Partial - AI can advise on methods, provide literature and project management support, and monitor milestones, but directing graduate-level research requires mentorship, judgment, and accountability that AI cannot fully assume.

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

AI: Partial - AI can greatly accelerate literature reviews, data analysis, simulations, and manuscript drafting, yet original hypothesis generation, experimental leadership, and ethical oversight remain human-led activities.

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

AI: Partial - AI can assist with scheduling, analytics, feedback generation, and administrative coordination, but supervising teaching, internships, and research entails human mentorship, performance evaluation, and responsibility.

Participate in student recruitment, registration, and placement activities.

AI: Partial - AI can automate outreach, application screening, administrative registration tasks, and placement matching, but relationship-building, final admissions/placement decisions, and institutional coordination require humans.

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

AI: Partial - AI can draft policy options, model impacts, and summarize issues, but cannot assume fiduciary responsibility or fully engage in the political, ethical, and consensus-building roles of committee members.

Perform administrative duties, such as serving as department head.

AI: Partial - AI can assist with drafting reports, schedules, and decisions but cannot fully replace the human leadership, political judgment, and personnel management required of a department head.

Write grant proposals to procure external research funding.

AI: Partial - AI can draft strong proposal text, budgets, and literature context, but proposals require original research vision, PI credibility, and iterative human refinement for competitive funding.

Act as advisers to student organizations.

AI: Partial - AI can provide advising resources, event ideas, and guidance, yet it cannot fully replicate the human mentorship, institutional navigation, and relationship-building advisors provide.

Participate in campus and community events.

AI: Partial - AI can help prepare materials and even participate virtually, but cannot fully substitute for in-person presence, networking, and community relationship work at events.

Provide professional consulting services to government or industry.

AI: Partial - AI can perform technical analyses, generate reports, and support recommendations, but professional consulting requires client relationships, legal accountability, and contextual judgement that remain human responsibilities.