Skip to content
Ideas for a more human education
Faceless figures around a table as a student with a backpack pulls up a chair beside a notebook and laptop.
Illustration: Human Learning Review, made with AI. It does not depict real people or events.
Opinion · Human Experience

Dialogue, Trust, and Learning in the Age of AI: Why Students Belong at the Table

Source: Faculty Focus, . Summarized by Human Learning Review.

Summary

This Faculty Focus essay by Mary Ruth Wallen, who has taught writing at Big Sandy Community and Technical College in Kentucky since 2003, asks how colleges should respond to AI and argues that students belong in those discussions. It opens with a debate in her Writing II class, where a student said she was in college for a reason and asked how having ChatGPT summarize an article would build her analytical skills.

Wallen writes that technology has moved faster than our understanding of it and that no educator or institution has the single right approach. She says surveillance and fear-messaging haven't curbed AI use, that checkers can be faulty, and, citing Jess Luo, that trust between teachers and students has suffered. Students face mixed signals, from signed no-AI contracts and blue-book essays to rules asking them to cite their AI use, and many stay silent as a result. She also notes graduates booing commencement speakers over AI remarks. In her own online asynchronous classes, a focus on detection and the required meetings that followed tainted the spirit of the course.

The student's comment made her see how comfortable she'd become waiting for direction from above, a point she connects to California math teacher Al Rabanera. She then proposes ways to reset the classroom:

  • Ask students early on to reflect on their goals and the skills the course offers, along with the obstacles they expect and how to handle them, an idea she ties to Pauline Stamp's Purpose-First Learning.
  • Survey students about their AI use in private and academic life, then use the results to start a two-way discussion about ethical and unethical use.

She cites a Swansea University study finding that disengaged students are more likely to use AI tools, and argues that students who see value in their work are more likely to own their writing. She closes by calling for classrooms built on trust, dialogue and shared reflection, with students given a genuine seat at the table.

Main points

  • Mary Ruth Wallen, a community college writing instructor, argues that students have been left out of higher education discussions about AI, including the AI professional development sessions she attended.
  • She contends that surveillance and fear-based messaging have not curbed student AI use, and cites research suggesting generative AI has worn down trust between students and teachers.
  • Wallen writes that a focus on detection and required meetings over AI-written drafts soured the atmosphere of her online asynchronous classes, and she has mostly stopped using AI checkers.
  • She recommends having students reflect early on their educational and career goals and on their own AI use, then discussing the results as a two-way conversation.
  • Citing a Swansea University study linking disengagement to greater AI use, she argues that students who see the value of their work are more likely to own their writing.

The editor’s perspective

"I'm in college for a reason."

A student said that from the back of a Writing II classroom, speaking for her group during a debate about AI. The summary I have cuts her off right after "Sure, I could ask," and I keep wanting the rest of the sentence.

My guess is she was about to say why she wouldn't. And she said it out loud, in front of her peers.

Our AI policies usually get written without that sentence in the room.

The issue is that schools are deciding what students want from learning without asking them.

The fair objection is that a student can say the right thing in a debate and do otherwise at 11 p.m. with a paper due. I use these tools on deadline too, so I won't pretend the pull isn't there. And a rule built on our worst guess about students teaches them which guess we made.

It's like setting a teenager's allowance rules without asking what they're saving for. You get compliance and you lose the reason.

Before you finalize the AI language in your syllabus, ask your class what they're in college for. Write down what they say.

This page is a short summary. The full piece belongs to Faculty Focus.

Read the original at Faculty Focus
A little room for reflection

A more considered
view of education.

Ideas worth sitting with. Practical questions worth asking. Human Learning Review, in your inbox.

Dialogue, Trust, and Learning in the Age of AI: Why Students Belong at the Table: summary and main points | Human Learning Review