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Teaching with Writing in an Age of AI: Supporting motivation and setting up guardrails

Anna Mills, College of Marin

A presentation for Southwestern College

January 29, 2026

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Housekeeping

  • Slides, open for comments: https://link.annarmills.com/Southwestern
  • Please feel free to comment in the chat as we go!

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As you’re probably aware, there is no perfect way to prevent AI misuse

  • But that doesn’t mean there’s nothing meaningful we can do.
  • Academic integrity researcher Dr. Phillip Dawson advocates a layered, “swiss cheese” approach. He argues on the AI in Education podcast and on LinkedIn that “many layers stacked (like layers of Swiss cheese) work better than any layer alone

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AI misuse is a “wicked problem”

“AI and assessment must be treated as something to be continually negotiated rather than definitively resolved."

“[A]dmitting there are no “correct” solutions does not mean there are not better and worse ones…”

Thomas Corbin, David Boud, Margaret Bearman, and Phillip Dawson, The Conversation, September 16, 2025

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My goal: To support you to build your own multipronged approach to reducing AI misuse as you teach with writing

  • In my presentation, I’ll review many strategies
  • You may want to reflect and select as we go in this worksheet (in the chat)
  • Discuss in breakout groups
    • What you already do that works
    • What you’ll add in next

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Strategies to reduce AI misuse:

Extrinsic to intrinsic motivation

Intrinsic motivation strategies

  • Pedagogy
  • Guidance on appropriate AI use

Combined extrinsic and intrinsic

  • Policy clarity
  • Nondigital and multimodal assignments

Extrinsic motivation strategies

  • Process observation and restrictions
  • AI detection

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Designing assignments to support intrinsic motivation

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Why is writing in college important? Not for the product. For the thinking process.

“A fundamental tenet of Writing Across the Curriculum is that writing is a mode of learning. Students develop understanding and insights through the act of writing.

-- The Association for Writing Across the Curriculum

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I frame the purpose of my writing course by inviting students to comment on a reading about what writing can do for us

“What makes writing so valuable? I would argue that academia and the professions need writing because it is our best tool for sharpening our thinking. It helps us slow down and clarify our ideas.”

Introduction to my OER text How Arguments Work: A Guide to Writing and Analyzing Texts in College

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Consider making the learning purpose explicit at the top of each writing assignment

A sample purpose section:

Purpose

  • Practice slow thinking in relation to an interesting reading
  • Understand a short argument deeply
  • Develop your own opinion and response, building on that deep understanding of the argument

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We need reading and writing practice more than ever in an AI era

  • To work with AI, you ask the AI system for what you want. You have to be able to describe it in words. So you have to write well.
  • Then you question what it gives you. You revise, reject, add, start over, tweak. So you have to read critically and edit.

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Let’s double down on what we know: research-based best practices for teaching writing have become yet more crucial

For one overview of principles in writing instruction, see the National Council of Teachers of English 2016 position statement Professional Knowledge for the Teaching of Writing.

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Are there ways the student can connect the writing to their own interests?

  • Create assignments that have intrinsic meaning and are likely to be motivating.
  • Allow room for choice about the focus of the assignment.

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Teach and support writing processes

  • Annotation of readings
  • Credit for prewriting, brainstorming, outlining, and drafting
  • Reflections on the thinking and writing process and on feedback
  • Peer review
  • Required tutor visits
  • Credit for revision

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Collaborative annotation/social annotation of class readings (try Hypothes.is or Perusall)

  • Students begin to form sentences in conversation with a text as they read.
  • Annotations can be short and informal: there isn’t as much temptation to auto-generate them.
  • Students write to peers in a social-media-like space where they may not feel as much pressure or self consciousness as in an essay draft.
  • Perusall can give automatic credit for participation in the Canvas gradebook

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Decrease the pressure and focus on grades: Alternative assessment

Various practices: ungrading, labor-based grading, collaborative grading

“One of the things that alternative grading can do is to help shift students’ focus from getting grades and generating products to learning and engaging in a learning process.” –Emily Pitts Donahoe

See Asao Inoue’s book on the subject (open access).

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An intrinsic motivation strategy: �Guide around AI uses that support learning, and help build skeptical AI literacy

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Giving AI a role supporting the student’s writing process may help deter other uses that replace the student’s writing

� 👍 Yes to AI for input�� 👎 No to AI for output

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Giving students AI context: Background materials on AI capacities, risks, and ethical concerns you might consider assigning and discussing before activities involving AI

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Working with AI feedback can build confidence and skepticism

  • Students practice looking for where the output is wrong or not aligned with their purpose or voice.
  • AI feedback can complement rather than replacing human feedback.

Photo by Mikhail Nilov: on Pexels.com

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The feedback approach I know best: Peer & AI Review + Reflection (PAIRR), a collaboration supported by the California Education Learning Lab

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The PAIRR Process: A Metacognitive Model

Step 4: Assessing and reflecting on feedback puts students in the driver’s seat.

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The Peer & AI Review + Reflection packet of assignment materials

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Consider experimenting with the PAIRR prompts for your own assignments

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Make the logistics easier for teachers: PAIRR partner not-for-profit app MyEssayFeedback protects privacy and syncs with your gradebook

  • Syncs with learning management systems
  • Gives automatic credit in the gradebook for uploading a draft, chatting back to the feedback and writing a reflection on the peer and AI feedback
  • Teachers decide how much they’re able to engage and comment.

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More varieties of tutoring-style writing assistance: the PapyrusAI prompts

PapyrusAI, from the Digital Learning Lab at UC Irvine, is also funded by the California Education Learning Lab and led by Tamara Tate and Mark Warschauer.

They have shared an open library of tested feedback prompts organized by student need, such as brainstorming, organization, evidence, thesis refinement, and grammar and mechanics.

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Another approach: invite students to evaluate the AI reasoning on a problem (See AIPedagogy.org)

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In the AI Validation activity, students evaluate competing accounts of how to think about a problem

“Take a challenging problem on the topic your class is working on. It should be a problem where there is either one right answer or where there are answers that are “more right” than others.

Give the problem … to an AI tool. Ask it to generate multiple solutions and explain its reasoning.”

- Robert Talbert, AI Validation, AI Pedagogy Project

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Ask students to share their chat sessions

Ask them to use a share function in the chatbot app to create a link to a web page transcript of their chat session

  • ChatGPT, Claude, or Gemini: use the share function
  • PlayLab: “share this conversation” creates a URL with the chat transcript. I have found this only works when the user is not chatting while logged into a PlayLab account (hoping they’ll fix that soon).

OR ask them to copy and paste into a word processing app and share that document. This will be necessary with Copilot chats.

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Intrinsic + extrinsic motivation through motivating assignments with elements that preclude or discourage AI

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Assignments that include writing but go beyond the essay may encourage engagement

  • Zines
  • Slide presentations
  • Wikipedia editing + reflection
  • Writing that will be shared more widely:
    • edited student journals,
    • Blogs and other putlic or community-based writing

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Build relationships and community as the context for reading and writing

  • Invite peer responses not just on strengths and weaknesses but on what is interesting in each student’s writing
  • Hold conferences with students
  • Offer video feedback
  • Ask students to share audio or video notes about their writing and respond to classmates.

Presentation by Anna Mills, licensed CC BY NC 4.0.

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Intrinsic + extrinsic motivation through clear AI policy

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AI is a lot to process for students as well as for us…

AI policy can warn students against misuse but also offer

  • Guidance
  • Anxiety relief as it clarifies
  • Empathy for the dilemmas students face today

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It’s hard to get specific enough about all possible uses of AI. That will always be a work in progress.

Consider possible uses beyond auto-generating the whole assignment (i.e. AI for brainstorming, AI for feedback, AI for help with organization, grammar, or genre conventions, AI that ask you questions, AI that suggests counterarguments)

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My approach is to recommend AI for tutoring-style assistance, not task completion

Would an ethical tutor help you in this way? Then it’s okay to use AI in that way.

Two pages from my OER textbook AI and College Writing: An Orientation, supported by a California Community Colleges Chancellor’s Office Zero Textbook Cost grant at Cañada College

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Two sources of scaffolding for teachers creating policy.

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One option: leave specific guidelines to a “Tools and Rules” section for each assignment

The idea and phrase come from ESL instructor Julie Carey of Cañada College. Here’s some sample language I use:

  • You are welcome to use grammar-checking software, just be skeptical of the suggestions.
  • No AI for coming up with ideas or text for your essay. The learning happens as you figure out what to say and clarify your points as you put the sentences together.
  • You can use AI to help with research or reading comprehension as long as you do the reading yourself and don't fully trust the AI summaries.
  • You can use AI for feedback on your writing or for ideas about writing strategies.
  • Did you think of another way AI could be useful for this assignment? Please run it by me! I am open to ideas as long as the AI use doesn’t get in the way of learning.

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Sample policies

–From Crafting Your GenAI & AI Policy: A Guide for Instructors by Tricia Bertram Gallant of UC San Diego

A large collection: Classroom Policies for AI Generative Tools, curated by Lance Eaton

My own syllabus statement for English composition, Fall 2025

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Extrinsic motivation through process observation

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Writing in class: considerations

Writing by hand: Many students are uncomfortable with this especially for a high stakes assignment. Many need accommodations but may not have documentation.

Writing on laptops: May only be possible with adequate laptop loaner programs or computer labs.

What other class activities are we giving up? Can we monitor effectively for AI use in class?

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Proctoring outside the classroom

Could we require some course assessment to be done in proctored centers whether writing or tutoring centers or testing centers?

An example: University of California San Diego’s Triton Testing Center, run by Dr. Tricia Bertram Gallant.

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Oral assessments can complement written ones

  • In person or Zoom: conference with each student. Time consuming. Some cancel class to do this…

  • Video and audio recording assignments. Ask students to record a video in Canvas Studio talking about their writing. Alternate option: Voicethread.

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Caution: audio and video can be deepfaked pretty easily, for free

With platforms like HeyGen, anyone can upload a brief video of themself and create an avatar that will read AI scripts in AI-generated videos.

See this sample HeyGen X post where Wharton business school professor Ethan Mollick’s avatar speaks German (Mollick doesn’t).

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Requiring document history

Looking at a document’s version history can be tedious.

Various apps and extensions facilitate the instructor’s analysis by showing time spent, copy/paste incidents, edits, and more.

There are free and paid options.

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Digital process observation apps that work with edit permission in Google Docs

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Digital process observation apps that ask students to write in a different app

  • Antecedent Writing (LMS integrated, also included in LibreTexts’ The Forge)
  • Turnitin Clarity (Includes AI feedback. Additional institutional cost on top of other Turnitin licenses)
  • Rumi (LMS integrated, includes detection, students write in their platform)

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ProcessFeedback.org: nonprofit, educator created (Dr. Badri Adhikari, University of Missouri)

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ProcessFeedback.org Chrome extension offers a ribbon across the top of a Google Doc that tells the number of edits

If you click “Explore Process” you get a lengthy report that shows time spent, the history of what was copied and pasted, and much more (see this sample).

The level of detail may send the message to students that the value of the assignment lies in the process of working in the document.

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In Grammarly Authorship, the user can decide if the authorship report includes a replay of the whole drafting process. I don’t require students to share this. I pay more attention to time spent.

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Digital process observation considerations

    • Accuracy: AI text can be retyped, either by hand or by free autotyping software like Duey.ai. Process may not show up in the app if students are using another system.
    • Fairness and bias: Accommodations needed in some cases.
    • Instructor labor: Depends on how consistently and closely instructors look at the process reports and follow up with students.
    • Privacy: Can be FERPA compliant. Students may not want the whole drafting process visible.

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My approach is to let students choose from a menu of process sharing options

My template assignment on Canvas Commons includes these options:

  1. Grammarly Authorship
  2. ProcessFeedback.org
  3. Share edit access on your Google Doc
  4. Record a reflection on your process or meet with me

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Is all digital process observation surveillance? Is the vibe necessarily big brother? Can it be more learning coach?

How do particular forms of digital observation feel to students? How do they compare to in-person proctoring?

See What is process tracking and how is it used to deter AI misuse?” a blog post with multiple perspectives from the MLA-CCCC Joint Task Force on Writing and AI.

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Software blocking AI use

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First, a little about a new development: agentic AI browsers

These are systems that move around digital environments and do things, much as a human would.

They are designed to behave like a personal assistant or a coworker.

They will complete coursework in Canvas.

Who or what moves the cursor?

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Agentic AI browsers are easy to access as of Fall 2025

  • As of September 2025, Perplexity offered its Comet browser and Pro subscription free to students and advertised it cheating.
  • ChatGPT Atlas and Claude in Chrome are available at the $20/month level.
  • More on this Friday 1/30 at 1 pm in a livestreamed CCCC webinar, “Addressing the Challenge of Agentic AI - Policies, Technology, Instruction, Assessment, and Learning Design Webinar”

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ChatGPT Atlas takes a quiz as a student

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Online proctoring via lockdown browser

Lockdown browsers prevent other activity besides the assignment or quiz itself, using a separate app or browser extension.

These may be used for online asynchronous assessment or in-class writing.

Respondus, Proctorio, and Honorlock are common examples.

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Lockdown browsers seem to block agentic AI

A lockdown browser limits which browser and/or extensions a student can use.

Some institutions are recommending Respondus and Honorlock as a stopgap approach to blocking agentic browsers.

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Lockdown browser considerations

    • Accuracy: Will probably block AI use on one device but not on a second one such as phone, glasses, or second laptop.
    • Fairness and bias: Accommodations may be needed. Students who can afford a second device may find it easier to circumvent.
    • Instructor labor: Some to set up and troubleshoot.
    • Privacy: Similar questions/need for institutional vetting as with any digital writing platform.
    • Teacher-student relationships: “Lockdown” has terrible connotations. Signals mistrust. Students may or may not feel it’s needed.

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Extrinsic motivation through AI detection

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We all have the experience of reading text and trying to decide if we think it was AI generated.

How well can we distinguish AI text from student writing?

Our intuition about what is AI text may help us initiate important conversations if we know the student’s writing well. But it could lead us astray. Could software help?

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How does AI detection software work?

“AI detectors…are trained on examples of AI-generated and human-generated text, and make their best probabilistic guess about whether a given piece of text is more like one than the other.” –A Guide to AI for Gonzaga Faculty, Gonzaga University

Commonly used apps (not necessarily recommended): Turnitin, GPTZero, Copyleaks, and Pangram

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AI detection considerations: Accuracy

  • Detection is widely known to be unreliable to varying degrees. Detection companies acknowledge this.
  • Detectors sometimes flag human writing as likely AI and AI text as likely human written.

How useful is an imperfect indicator?

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Free software exists that rephrases AI text to “humanize” it and get around AI detectors

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AI detection considerations: labor and privacy

Instructor labor: Reviewing results is quick but requires some administrative overhead.

Privacy: Any use of a detection system should be vetted by the institution’s IT department. It needs to be FERPA compliant.

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AI detection considerations: fairness and bias

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AI detection considerations: pedagogy and relationships

Many are concerned detection will create or reinforce an adversarial relationship between teachers and students.

To some extent this depends on framing. My syllabus language includes reassurance:

  • “I won’t entirely trust what the AI detector says…I am aware that AI detection software occasionally labels human writing as AI. It also fails to identify some AI text as AI…
  • If there is a question about whether work is your own, I will look into it…I may ask to meet with you.”

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A few detection resources

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To review, we’ve talked about strategies to Reduce AI misuse on a spectrum from extrinsic to intrinsic motivation

Intrinsic motivation strategies

  • Motivating, supportive pedagogy
  • Guidance on appropriate AI use

Combined extrinsic and intrinsic

  • Policy clarity
  • Nondigital or multimodal assignments

Extrinsic motivation strategies

  • Process observation
  • AI detection

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First, take 5 minutes on your own to consider the worksheet (in the chat).

Then, we’ll go into breakout groups for 10 minutes

Each person shares:

  • one thing you already do that you think helps a lot to reduce AI misuse
  • one thing you can and want to start doing
  • one open question in your mind about what to do next

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A few resources for continuing the conversation

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Questions?

Comments?

Thank you!

I’d be glad to connect and continue the discussion on LinkedIn or at annarmills.com

Slides, open for commenting: https://link.annarmills.com/Southwestern

Presentation licensed CC BY NC 4.0