Is Ownership the Best Metaphor for Learning?
Source: Educating AI
Author: Nick Potkalitsky
Original source: https://nickpotkalitsky.substack.com/p/is-ownership-the-best-metaphor-for
Published: 2026-05-11
Source type: Essay
Private backup: the full article text is archived in the private repository at archives/articles/nickpotkalitsky-substack-com-is-ownership-the-best-metaphor-for.source.md. It is not published on the public Quartz site.
Summary
Potkalitsky argues that “ownership” is a tempting but limited metaphor for learning because it makes learning sound like possession: knowledge moves from outside the learner to inside the learner, and the visible proof becomes retention. AI makes the problem clearer because students can possess answers, essays, or arguments without having done the cognitive work those outputs are supposed to represent.
The article proposes “formation” as a stronger metaphor. Learning should move students through retention, transfer, and agency so that they can carry knowledge forward, use it in new contexts, and act from it. AI can either substitute for this trajectory or augment it, depending on whether instructional design protects the core disciplinary work before AI enters.
Pull quotes
Ownership has a property logic
Ownership is not a neutral word. It carries a logic — the logic of property.
— Nick Potkalitsky, Is Ownership the Best Metaphor for Learning?
Students can possess outputs without learning
The student has the output. They do not have what the output was supposed to be evidence of.
— Nick Potkalitsky, Is Ownership the Best Metaphor for Learning?
Formation is a better word
Formation is a better word than ownership. You are not the same after genuine learning as you were before.
— Nick Potkalitsky, Is Ownership the Best Metaphor for Learning?
AI can substitute or augment
AI can move a learner toward formation or away from it.
— Nick Potkalitsky, Is Ownership the Best Metaphor for Learning?
Big ideas
- Learning still needs some struggle, even when AI can make things easier
- Students need to bring the purpose; AI should not supply it for them
Claims
- Learning is formation, not possession of outputs
- Learning requires some productive struggle that AI can remove
Key evidence and examples
- Potkalitsky argues that ownership language can accidentally make learning sound like acquisition and possession rather than transformation.
- He uses AI-generated student outputs to show the gap between having an answer and having the learning the answer is supposed to evidence.
- He distinguishes retention, transfer, and agency as three kinds of cognitive work that formation requires.
- He argues that AI supports learning when it enters after the learner has generated, committed, and attempted the work, rather than substituting for those steps.
Education relevance
High relevance for AI-era assessment, assignment design, student agency, productive struggle, and deciding what evidence should count as learning when students can easily possess AI-generated outputs.
Durability note
Durability: High. The specific AI studies and examples may age, but the distinction between possessing outputs and being formed by learning is likely to remain central to AI-era pedagogy and assessment.