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AI exposure report

Will AI replace Computer Science Teachers, Postsecondary?

Some of your tasks will be automated. People who use AI will have the edge.

Task exposure to today's AI

43/100

Moderate exposure

This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.

Get your personal score

Will AI replace Computer Science Teachers, Postsecondary?

Not entirely. Today's AI tools can take on about 43% of the typical work in this occupation, mostly: prepare course materials, such as syllabi, homework assignments, and handouts. The parts that stay human include: Prepare and deliver lectures to undergraduate or graduate students on topics such as programming, data structures, and software design.; Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.; Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences..

People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.

Which tasks AI can take on

The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.

TaskAutomatable
Prepare course materials, such as syllabi, homework assignments, and handouts. 78%
Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.AI already used 60%
Evaluate and grade students' class work, laboratory work, assignments, and papers.AI already used 57%
Maintain regularly scheduled office hours to advise and assist students. 38%
Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.AI already used 33%
Prepare and deliver lectures to undergraduate or graduate students on topics such as programming, data structures, and software design. 20%

+ 20 more tasks (43% of the week) in the full test.

Your human edge

  • Prepare and deliver lectures to undergraduate or graduate students on topics such as programming, data structures, and software design.
  • Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.
  • Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.

AI tools to try

ChatGPT / Claude for lesson materialsAI quiz and feedback toolsPresentation and image generators

Related roles

A 3-phase AI learning plan

Phase 1

Materials and preparation

  • Lesson plans, tasks and differentiated materials with AI.
  • Quizzes and answer keys.
  • Check facts and age-appropriateness yourself.

Project

Use AI to build a full two-week data structures unit — slides, 3 tiers of coding exercises, and a 20-question quiz with answer key — then verify every code sample compiles and log hours saved.

Phase 2

Feedback and assessment

  • Rubrics and feedback drafts with AI.
  • Spotting common mistakes across student work.
  • Rules for student AI use and academic honesty.

Project

Draft an analytic rubric plus AI-assisted feedback for one anonymized programming assignment set, tag the 5 most common errors across submissions, and publish a course AI-use policy.

Phase 3

Teaching with AI

  • Teach students to use AI critically.
  • Assignments that work with AI, not against it.
  • Share materials and practice with colleagues.

Project

Redesign one assignment to require students to critique AI-generated code, run it with 2 class sections, and share the materials and results in a department workshop.
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