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Prompt course · 8 lessons · 30 prompts · 1 hour · Beginner

AI for Professors

This prompt course walks professors through eight practical lessons, from course materials to committee work. You will learn to use AI for lectures, grading, advising, research, publishing, grants, and admin while keeping your academic judgment.

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What you'll learn

  • Course Setup: Draft syllabi, schedules, and policy language you can refine.
  • Lecture Prep: Turn topics into explanations, examples, and activities.
  • Grading Feedback: Build rubrics and draft fair, consistent comments.
  • Student Advising: Prepare supportive notes and plans for student meetings.
  • Research Literature: Map sources, questions, and gaps for your next project.
  • Academic Publishing: Outline manuscripts and respond to reviewer notes.
  • Grant Proposals: Shape aims, draft sections, and check sponsor needs.
  • Committee Admin: Summarize meetings, draft policies, and prepare reports.

What's inside

8 lessons · 30 prompts
  1. Before you start · framework course RACE Prompt Framework: Role, Action, Context, ExpectationRACE helps professors specify role, action, context, and expectation, like asking for a grading rubric aligned to learning outcomes.
  2. Start here Priya's Thursday, Two WaysA day in the life of a Professor, before and after these prompts.
  3. 01 Lesson 1 · 3 prompts Course Materials Setup
  4. 02 Lesson 2 · 3 prompts Lecture Preparation
  5. 03 Lesson 3 · 5 prompts Grading And Feedback
  6. 04 Lesson 4 · 3 prompts Student Advising
  7. 05 Lesson 5 · 3 prompts Research And Literature
  8. 06 Lesson 6 · 5 prompts Academic Publishing
  9. 07 Lesson 7 · 3 prompts Grant Proposals
  10. 08 Lesson 8 · 5 prompts Committee And Admin

About this course

7 topics

Prompts for Professors: Teach, Research, Advise, Serve

This course is for professors who want to use AI in everyday academic work without losing their voice or standards. Each lesson gives you a clear task, a prompt you can adapt, and a way to check the result.

You will move from setting up a course to preparing lectures, grading, advising, research, publishing, grants, and committee duties. The lessons build on each other, so you can start where you need and return as the term moves.

  1. The lessons
    1. Course Materials Setup: Use AI to draft and refine the core documents that structure a course before the term starts.
    2. Lecture Preparation: Use AI to turn your lecture topics into clear explanations, examples, and in-class activities.
    3. Grading And Feedback: Use AI to build consistent rubrics, draft feedback, and spot patterns in student work.
    4. Student Advising: Use AI to prepare clear, supportive communication and plans for advising conversations.
    5. Research And Literature: Use AI to accelerate literature review, idea mapping, and research planning.
    6. Academic Publishing: Use AI to outline, draft, and revise scholarly manuscripts and peer-review responses.
    7. Grant Proposals: Use AI to shape funding ideas, draft proposal sections, and meet sponsor requirements.
    8. Committee And Admin: Use AI to handle meeting documentation, policy drafts, and accreditation reporting efficiently.
  2. What the Course Covers

    The course covers eight lessons that match a professor's year: course materials, lectures, grading, advising, research, publishing, grants, and committee work. Each lesson shows you what to ask AI, what to review, and what to keep in your own words.

  3. How the Lessons Connect

    The lessons follow the academic cycle. You set up a course, prepare teaching, give feedback, support students, then move into research, writing, funding, and service. You can also jump to the lesson you need today.

  4. How to Use Prompts Well

    Good prompts include your course level, your goal, and the tone you want. Ask for a draft, then revise with your own examples and standards. Treat the first answer as a starting point, not a final product.

  5. Who This Course Is For

    This course is for professors at any career stage who want practical AI help without becoming technical. It suits teaching-focused faculty, researchers, and those with heavy service loads. No prior AI experience is needed.

  6. Safety and Privacy for Professors

    Protect student privacy by removing names and identifying details before using AI. Follow your institution's rules on approved tools, academic integrity, and disclosure. You remain responsible for every message, grade, and manuscript you share.

  7. Your Next Step

    Start with the Course Materials Setup lesson and bring one real task, such as a syllabus section or a lecture topic. After that, choose the next lesson that matches your week. Small, steady practice will make the prompts feel natural.