Students need to bring the purpose; AI should not supply it for them

Definition

When people read, write, think, or inquire with AI, the learner still needs to set the purpose, make meaning, interpret the output, and stay responsible for the direction of the work.

Current synthesis

Potkalitsky and Underwood argue that AI-mediated learning should begin from a human “seminal intention” and that AI can clarify, focus, and reorganize that intention without originating intentionality itself. The Refraction Principle: How AI Bends

They describe productive AI interaction as producing “hybrid intention,” a transformed purpose that has changed through AI interaction but remains owned and directed by the human learner. The Refraction Principle: How AI Bends

Potkalitsky argues that human-authored literature and AI-generated text can both produce possibility, surprise, and otherness, but that they are grounded differently. For The Love Of Reading In The Age

Human-authored literature is framed as a traceable encounter with a specific author’s choices, ethical universe, and aesthetic vision, while AI-generated text is framed as distributed and emergent rather than authorially locatable. For The Love Of Reading In The Age

Linked articles

• The Refraction Principle: How AI Bends
• For The Love Of Reading In The Age

Linked claims

• AI can reshape a student’s purpose, but it should not replace it

• Human-authored literature gives students a real other person to encounter

• Students need boundaries for when to use AI and when to step back

• Prompting AI is a literacy practice, not just a technical trick

• Co-creative AI needs shared concepts about the world

• Treating AI like a person can help if students know the limits

• AI speed can make people feel guilty for thinking slowly

• Prompts can help people coordinate their thinking

• AI chat transcripts can be taught like texts

• AI can make a poorly framed problem worse

• Prompt-and-rubric writing is especially vulnerable to AI shortcuts

• Agentic AI can preserve thinking when students have to design the work

• Follow-up prompts should push AI inquiry toward evidence

Why this is expected to recur

Questions about intention, authorship, interpretation, and learner agency are likely to recur across AI literacy, writing instruction, humanities education, prompt design, tutoring, and debates over AI-generated text.

Open questions

• How can teachers tell whether AI interaction has strengthened student intention rather than substituted for it?
• How should students distinguish human-authored, AI-generated, and hybrid texts?
• What classroom routines help students document movement from initial intention to AI-refined intention?

Synthesis history

No prior synthesis.

• They’re Not Necessarily Trying To…

Articles

• Are You Guilty of “Cognitive Surrender”?

• Tawnya Means Part 1

• Against Brain Damage

• The Art of Conversational Authoring

• The Grounding Problem and Co-Creative AI

• AI-Proofing Your Classroom — Sort Of

• Could ChatGPT Do This Overnight If…?

• The Power of Treating AI Like a Colleague

• Use vs Relationship: What We’re Not Asking About AI

• You Don’t Have to Keep Up with AI

• Prompts Are Conversations You’re Not Present For

• Offloading vs Outsourcing in the AI Classroom

• How to Model Effective AI Use in Classrooms

• The Writing Doom Loop

• What Happened When We Taught AI Literacy Like Writing

• This Is How You Get Good at AI

• How Grading the Chats Makes Learning Visible

• What Happened When I Asked an AI Agent to Grade the Transcript

• If We’re Going to Adapt to the Age of AI, We Need to Chip Away at Transactional Education

• My Kids Do Long Division by Hand

• The Car Wash Problem

• Pretexting in Medias Res

• The Box and the Module

• AI Creep Is Real

• What Is the Matter with Grading in the Age of AI?

• What 81,000 People Told Anthropic

• Claude Dispatch and the Power of Interfaces

• What Does “Investigate the Evidence” Mean?