WillAIReplaceMe
Vol. INo. 04April 20, 2026
Анализ воздействия ИИ

Заменит ли ИИ Computer Science Teachers, Postsecondary?

Оценка автоматизации на уровне задач для профессии Computer Science Teachers, Postsecondary. Узнайте, какие части работы под давлением, а какие остаются устойчивыми.

5 задач с высоким воздействием10 устойчивых задач30 навыков оценено

Воздействие ИИ по задачам

ЗадачаВоздействиеОбоснование
Prepare course materials, such as syllabi, homework assignments, and handouts.СРЕДНЯЯAI can prepare syllabi and assignments using pedagogical templates but needs faculty review for alignment and rigor.
Compile, administer, and grade examinations or assign this work to others.ВЫСОКАЯAI can compile, administer, and score objective exams; essay grading remains L2 but administration/scoring is L3.
Prepare and deliver lectures to undergraduate or graduate students on topics such as programming, data structures, and software design.НИЗКАЯDelivering CS lectures requires live coding demos, debugging walkthroughs, and adapting to student confusion—human instruction.
Evaluate and grade students' class work, laboratory work, assignments, and papers.СРЕДНЯЯAI can grade code assignments using test suites and rubrics but requires human review for design quality and edge cases.
Direct research of other teachers or of graduate students working for advanced academic degrees.СРЕДНЯЯDirecting others’ research involves mentoring, iterative feedback, and domain-specific guidance—AI can draft protocols or literature reviews but human review and judgment are essential.
Maintain student attendance records, grades, and other required records.ВЫСОКАЯMaintaining attendance and grade records is structured digital data entry with validation—routine L3 task.
Supervise undergraduate or graduate teaching, internship, and research work.СРЕДНЯЯSupervising student work benefits from AI-generated rubrics, progress checklists, and feedback drafts, but final evaluation and mentorship require human oversight.
Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.НИЗКАЯStaying current requires critical synthesis of evolving literature and identifying paradigm shifts—human scholarly discernment.
Plan, evaluate, and revise curricula, course content, and course materials and methods of instruction.НИЗКАЯCurriculum revision demands educational theory application, equity analysis, and long-term vision—human academic leadership.
Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.ВЫСОКАЯResearch execution (literature review, analysis, drafting) and publication formatting can be autonomously handled by AI agents within defined domains and citation standards.
Maintain regularly scheduled office hours to advise and assist students.НИЗКАЯOffice hours require real-time, empathetic, adaptive advising—physically and socially present human interaction.
Supervise students' laboratory work.СРЕДНЯЯSupervising lab work involves safety-critical decisions and real-time observation; AI can generate checklists and protocols but human supervision is mandatory.
Advise students on academic and vocational curricula and on career issues.НИЗКАЯAcademic/vocational advising requires deep understanding of individual goals, constraints, and life context—human-centric counseling.
Initiate, facilitate, and moderate classroom discussions.НИЗКАЯInitiating and moderating discussions requires reading classroom dynamics, encouraging quiet students, and managing conflict—human facilitation.
Develop and maintain Web sites for online courses.ВЫСОКАЯWeb development for online courses is digital, repeatable, and can be automated with modern LLM-powered dev agents using templates, CMS integrations, and static site generators.
Participate in student recruitment, registration, and placement activities.НИЗКАЯStudent recruitment involves persuasion, relationship-building, judgment of fit, and nuanced human interaction that requires trust and contextual awareness beyond current AI autonomy.
Write grant proposals to procure external research funding.ВЫСОКАЯGrant proposal writing follows structured formats, budget templates, and narrative conventions—LLMs can draft, revise, and align with funder guidelines autonomously.
Perform administrative duties, such as serving as department head.НИЗКАЯAdministrative leadership (e.g., department head) entails personnel decisions, conflict resolution, strategic vision, and accountability—requiring irreplaceable human judgment.
Collaborate with colleagues to address teaching and research issues.НИЗКАЯCollaborating on teaching/research issues demands shared understanding, negotiation, creative problem-solving, and interpersonal dynamics that require human leadership and judgment.
Select and obtain materials and supplies, such as textbooks and laboratory equipment.НИЗКАЯSelecting and obtaining physical materials like lab equipment requires procurement logistics, vendor coordination, physical handling, and inventory management outside AI’s physical capability.

Анализ навыков

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Ключевые выводы

  • 5 из 20 задач имеют высокую степень воздействия ИИ: Compile, administer, and grade examinations or assign this work to others., Maintain student attendance records, grades, and other required records., Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media., Develop and maintain Web sites for online courses., Write grant proposals to procure external research funding..
  • 10 задач остаются устойчивыми к автоматизации благодаря высокому контексту.
  • Administration and Management, Judgment and Decision Making, Oral Comprehension, Oral Expression, English Language и ещё 25 навыков остаются устойчивыми и ценными.

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