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Engaging with the Pros of AI Use

By approaching AI not as a shortcut but as a generative site for ethical reflection, rhetorical awareness, and intellectual growth, you can help students deepen their learning and prepare them for a world in which AI will continue to shape communication.


How does AI help student writers?

AI can support student writers when it helps them explore possibilities, make decisions, and reflect on their writing processes—not completing the intellectual work an assignment is designed to develop.

Across disciplines, students may use AI at different stages of writing: interpreting an assignment, brainstorming, organizing ideas, seeking feedback, examining genre conventions, revising, or reflecting on their choices. AI tools can be used beyond the purpose of "making writing faster". The most useful output gives students something to question, evaluate, adapt, or answer.

Make complex assignments more manageable

Students can use AI to break a complex assignment into stages, create a tentative work plan, turn directions into a checklist, or restate instructions in more accessible language. These uses can make the writing process easier to see and navigate, particularly when an assignment involves several genres, deliverables, or stages.

AI-generated plans should still be treated as recommendations or proposals. Reinforce with students that AI output is not fixed instructions or rules. Remember that the tool may misunderstand the assignment, overlook course expectations, or suggest a process that does not fit the writer.

Generate possibilities

AI can function as a brainstorming partner by generating possible questions, perspectives, counterarguments, examples, titles, organizational strategies, or approaches to a problem.

This works best when students use AI to expand the range of possibilities they can consider; the AI should not determine what students write. The writer still needs to decide what is useful, relevant, interesting, and worth developing.

Seek feedback

AI can provide immediate and low-stakes feedback while students are drafting or revising. For example, students might ask whether a paragraph clearly communicates its main point, whether an argument addresses the assignment, or where a reader might need additional explanation.

But AI feedback is not automatically good feedback. It can be generic, inaccurate, overly confident, or disconnected from the expectations of a particular course or discipline. Students therefore need opportunities to evaluate feedback before acting on it.

  • Does this suggestion actually address my purpose?
  • Is it consistent with the assignment and course expectations?
  • What would I gain or lose by making this change?
  • Do I agree with the feedback?
  • What feedback should I ignore?

Reflection on the feedback can be a writing-to-learn moment, in which students engage in rhetorical decision-making.

Examine genres and rhetorical choices

AI-generated texts can give students material to analyze. Students might compare an AI-generated response with a human-authored example and examine differences in genre conventions, organization, evidence, tone, audience awareness, specificity, voice, and disciplinary expectations.

The comparison does not need to find a "better" text. Students can consider why particular rhetorical choices work in one context but not another, and what knowledge about the context or discipline a writer needs to make those decisions.

Learn more about "genre" and "rhetorical" as terms

Support flexible access and participation

AI-enabled tools can provide different entry points into writing and participation. Students might use them to transcribe spoken ideas, reorganize notes, create step-by-step checklists, restate complicated directions, generate questions before a discussion, or experiment with different ways of expressing an idea.

Consider access: No tool supports every student in the same way. Before requiring AI use, instructors should consider access, cost, privacy, accessibility, course policies, and available alternatives. Whenever possible, students should have an equivalent way to participate without having to disclose a disability or personal circumstance.

Make the writing process visible

Writing involves many decisions that may not be visible in the final text. AI activities can create opportunities for students to articulate how they write, revise, and make choices throughout the writing process.

Students can document what they asked a tool to do, what it produced, what they accepted or rejected, and how their thinking changed as a result. Reflection shifts attention away from the final AI output and toward the student's process, judgment, and authorship.


Ways to Talk About It With Students

Instead of discussing AI only through rules and policies about what students may or may not do, invite students to consider what different uses of AI do to their learning and writing processes. What consequences do these uses have?

A useful starting question

What are you supposed to learn or practice here, and would using AI help you practice it or allow you to avoid it?

Discussion questions

  • What part of this writing task feels most difficult, and why?
  • Where in your writing process might AI be useful?
  • What can you contribute to this task that an AI system cannot?
  • How can you tell whether AI-generated feedback is useful?
  • What might be lost if you automatically accept an AI revision?
  • What seems generic, formulaic, inaccurate, or incomplete?
  • How might another writer respond differently to the same prompt?

These discussions can start moving conversations away from a AI/no-AI binary. Purpose, context, learning goals, and the consequences of different choices are aspects of the writing that students should be thinking about and making choices as they engage with technologies.


Activities

Activity 1

🧩 Turn an Assignment Into a Writing Plan

Goal: Help students unpack an assignment while practicing evaluation of AI output.

Give students an upcoming assignment prompt. Ask them to use an AI tool to turn the assignment into a proposed sequence of tasks or a checklist.

Then ask students to annotate the result:

  • What did the AI understand correctly?
  • What did it miss?
  • What course-specific expectations does it not know?
  • Which steps would you change, remove, or add?
  • Does this sequence match the way you would actually approach the assignment?

Students then create their own revised writing plan.

Variation: Have students develop the plan themselves first, and compare it with the AI-generated version afterward.

Activity 2

💭 Brainstorm, Compare, Choose

Goal: Position AI as a source of possibilities rather than answers.

Before using AI, ask students to brainstorm three possible approaches to an assignment, research question, argument, example, or problem.

Then ask AI to generate several additional possibilities. Students categorize the suggestions:

  • Already considered
  • New and useful
  • Generic
  • Not relevant
  • Needs more investigation

Finally, students select, combine, modify, or reject ideas and briefly explain their choices. The explanation of why they categorized the output is what matters most in this activity. It shows why the student chose to develop one possibility and not another.

Activity 3

🔍 Human vs. AI Genre Analysis

Goal: Use AI output as an object of rhetorical analysis.

Give students a writing task connected to your discipline or course. Students examine:

  1. A human-authored example of the genre
  2. An AI-generated response to the same or a similar task

In small groups, ask students to compare:

  • What does each text seem to understand about the genre?
  • How does each address its audience?
  • What kinds of evidence or examples appear?
  • Where is the writing specific? Where is it generic?
  • What assumptions does each text make?
  • What sounds credible, and why?
  • What does the human writer do that the AI response does not?
  • What does this comparison teach us about writing effectively in this context?

Students can finish by revising one part of the AI response and explaining the rhetorical decisions behind their revision.