Curriculum, enclosure, and the refusal of frictionless learning
What if the most consequential curriculum decision in the age of generative AI is deciding which difficulties must not disappear?
Micah J. Miner · National Louis University · micahminer.com
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When polished output conceals diminished learning.
Ong, learning science, and the curricular stakes of friction.
Access, exclusion, curriculum studies, and uneven enclosure.
Subversive practices, research, and institutional redesign.
Rhetorical saturation: fluent prose performs conviction the learner may never have formed.
Noetic displacement: structure and conclusions arrive without the interpretive labor that makes them usable later.
Unproductive success: formal criteria are met while the ability to explain, defend, or extend remains weak.
This is not primarily a problem of academic integrity. It is a problem of learning and of curriculum.
Article and companion: trace the published argument after the session.
Make a provisional choice before we talk.
Select one site of authority. Then ask who controls it—and whose judgment becomes invisible there.
Algorithmic enclosure is not equivalent to every form of violent enclosure. It names one curricular mechanism through which judgment, labor, and authority can be displaced.
The invisible substitution of generated completion for study.
The narrowing of expression toward statistically available fluency.
The relocation of curricular decisions into platforms and systems.
National reports show rapid growth within a short policy window.
Diliberti et al., 2024; Doss et al., 2025
Institutional scaffolding has not kept pace with tool availability.
Kaufman et al., 2025
Silence leaves teachers and learners to navigate defaults alone.
Kaufman et al., 2025
Teachers are not only worried about honesty. They are worried about student cognition.
Keeper of the Word: carry one message through five changing media environments.
The same tool, in the same classroom, can expand access and bypass learning.
Difficulty that builds capacity the learner would otherwise not construct.
Difficulty that restricts access, participation, or demonstration without educational benefit.
For whom does this difficulty build capacity, and for whom does it restrict access?
How would you classify the AI-supported translation?
The translation may enable participation and make disciplinary thinking visible. Ask what capacity the learner is now able to demonstrate.
If target-language composition is itself the learning goal, translation may bypass productive language-building struggle. Ask what the assignment is for.
This is the framework’s intended answer: preserve the relevant learning work while reducing barriers unrelated to the curricular purpose.
Chat: What one additional fact would you need before deciding?
Go deeper on your own device: the interactive Friction Lab simulator lets you practice calibrating productive vs. exclusionary friction; the Games Hub holds the K–12 classroom and PD applications.
If education concerns how subjects understand their experience across past, present, and future, then existential friction protects the learner’s presence in the act of study.
Pathway: Pinar and the autobiographical study of educational experience.
Technical language asks whether AI makes learning efficient. Political, ethical, and aesthetic languages ask who gains, who is shaped, what is valued, and what kind of world is being made.
Pathway: Huebner’s critique of technical rationality.
A platform that makes completion effortless teaches that knowledge is instantly available, language is interchangeable, and polished performance is equivalent to understanding.
Pathway: Apple and the politics embedded in ordinary educational arrangements.
Speed · ease · access · polished completion
Knowledge is instant · language is interchangeable · performance equals understanding
Fugitivity and the undercommons emerge from Black study and a politics of refusal. Pedagogical friction, especially when practiced from inside schools and districts, cannot claim that position. This tradition presses a critical question about when friction-preserving reform protects study and when it produces better management of enclosure instead.
Harney and Moten; Givens, named as a critique this framework must answer, not a method it adopts.
Subversion is not the refusal of technology. It is the refusal to let efficiency become the unquestioned purpose of education.
Make room for deliberation before adoption becomes destiny.
Require learners and institutions to account for process and judgment.
Return curricular decisions from platforms to educators, learners, and communities.
The device gap has narrowed in many contexts.
Students do not receive equal support for judging and using AI.
Some communities receive tools without the institutional capacity to govern them.
The tools arrived everywhere. The deliberative scaffolding did not.
Names tertiary algorithmicity and pedagogical friction as a framework for examining what generative systems may bypass.
Defines a qualitative-dominant convergent mixed methods study grounded in constructivist qualitative inquiry and participant sensemaking.
A qualitative-dominant mixed methods study will complicate, refine, or revise it. Findings do not yet exist. Divergence and discrepant accounts will matter as much as confirmation.
The framework is a sensitizing concept, not a conclusion waiting to be confirmed.
How do K–12 classroom-facing educators understand and navigate generative AI’s friction-reducing affordances, particularly in relation to productive and exclusionary friction?
What conditions enable or constrain friction-preserving pedagogy across classroom, building, and district-system levels?
How can educator and institutional sensemaking inform K–12 AI governance, assessment, and instructional design?
I direct technology and AI policy across five K–12 schools. I encounter the promise, constraints, privacy risks, budgets, and classroom consequences from inside the system.
I am predisposed to hear cognitive bypass more readily than cognitive extension. Negative case analysis, member checking, reflexive memoing, and evidence divergence make that disposition visible.
Technoskepticism is not opposition to technology. It is an insistence that technological change remain answerable to human purposes.
Names what disappears when cognition, rhetoric, ownership, and institutional deliberation are bypassed.
Explains why some forms of difficulty deserve protection while others require removal or redesign.
Connects everyday classroom practices to institutional design and resistance to enclosure.
Technoskepticism asks whether technological change remains answerable to educational purposes.
Technoskepticism PrimerPedagogical friction keeps the curriculum conversation from being auto-completed.
Where does pedagogical friction still risk psychologizing curriculum?
How can educators preserve productive struggle without preserving exclusion?
What collective acts can interrupt algorithmic enclosure beyond the classroom?
The world is not silent, and neither is the classroom.