How exposed to AI is a Nursing Instructors and Teachers, Postsecondary?

Of the 29 tasks O*NET lists for nursing instructors and teachers, postsecondary, 5 could be done in half the time with a chat window today. 11 cannot be sped up at all. Here is which.

Exposure means published research judged an AI could halve the time a task takes, at the same quality. It does not mean the task stops needing a person. How to read this


Also called
Assistant ProfessorAssociate ProfessorClinical Nursing InstructorFaculty MemberInstructorLecturerNurse EducatorNursing InstructorNursing ProfessorProfessor
Reachable today Needs software built first Cannot be sped up
29
tasks rated for this occupation
100%
hold a degree, from a survey of 33
68k
people do this job in the US
33 of 62
least protected in education

Every task, and what AI can do with it

These are O*NET's task statements for this occupation, exactly as written, sorted into the three bands by the ratings behind this report. Nothing has been reworded.

Reachable with a chat window today

5
  • Prepare course materials, such as syllabi, homework assignments, and handouts
  • Compile bibliographies of specialized materials for outside reading assignments
  • Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media
  • Write grant proposals to procure external research funding
  • Provide professional consulting services to government or industry

Only with software built on top

13
  • Evaluate and grade students' class work, laboratory and clinic work, assignments, and papers
  • Assess clinical education needs and patient and client teaching needs using a variety of methods
  • Compile, administer, and grade examinations, or assign this work to others
  • Demonstrate patient care in clinical units of hospitals
  • Plan, evaluate, and revise curricula, course content, course materials, and methods of instruction
  • Maintain student attendance records, grades, and other required records
  • Advise students on academic and vocational curricula and on career issues
  • Collaborate with colleagues to address teaching and research issues
  • Maintain regularly scheduled office hours to advise and assist students
  • Coordinate training programs with area universities, clinics, hospitals, health agencies, or vocational schools
  • Select and obtain materials and supplies, such as textbooks and laboratory equipment
  • Perform administrative duties, such as serving as department head
  • Conduct faculty performance evaluations

Cannot be sped up

11
  • Supervise students' laboratory and clinical work
  • Initiate, facilitate, and moderate classroom discussions
  • Prepare and deliver lectures to undergraduate or graduate students on topics such as pharmacology, mental health nursing, and community health care practices
  • Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences
  • Mentor junior and adjunct faculty members
  • Maintain a clinical practice
  • Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues
  • Participate in student recruitment, registration, and placement activities
  • Participate in campus and community events
  • Supervise undergraduate or graduate teaching, internship, and research work
  • Act as advisers to student organizations
What this does not say

This is not a prediction about your job

Nobody surveyed an employer. Tasks are counted equally, so a percentage here is a share of the list rather than a share of your week. And the ratings were made in 2023, which makes every figure a floor rather than a ceiling.

It must never be used to select anyone for redundancy. The full limits are here.

Where to go next

This is the standard task list for the title. The useful next question is which of the tasks you actually do should go near AI, and which should not.


Exposure ratings from Eloundou, Manning, Mishkin and Rock, GPTs are GPTs: Labor market impact potential of LLMs, Science 384, 1306–1308, 2024, used under the MIT licence. This page includes information from the O*NET Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. People Team AI has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. Employment figures from the US Bureau of Labor Statistics.