Teach the methodology forward.
WaitlistYou teach design, writing, or creative practice. Your students are using AI whether you assign it or not. The work coming in sounds increasingly similar. You can tell when it's AI-assisted but you can't articulate why, and you can't teach them to fix it because you don't have a structural framework for what's going wrong.
The problem is not that students use AI. The problem is that nobody taught them how. "Don't use AI" doesn't work because they will. "Use AI however you want" doesn't work because they'll absorb its defaults. What's missing is a structural framework: named practices with specific pedagogies that teach students to maintain their own voice, their own evaluation standards, their own creative intent while using AI as infrastructure.
Foundations and the Advanced AI Practice courses give you the practices. This track teaches you to teach them. Each practice has a specific pedagogy chosen for what it demands cognitively. You learn why Foundations uses gradual release, why Input Inversion uses contrastive learning, why Voice Governance uses apprenticeship. Then you learn to adapt those pedagogies to your own discipline, your own students, your own institutional context.
Meta-pedagogical: learning to teach each practice
Each practice in the methodology carries a specific pedagogy. Decomposition uses gradual release because students need to see the move modeled, do it with support, then do it alone. Input inversion uses contrastive learning because telling someone "dump raw" doesn't change behavior: they have to do it structured first, do it raw second, and hold the two outputs side by side. Lens extraction uses studio/workshop because compositional values are declared through making, not through instruction.
This module teaches you the pedagogical reasoning behind each practice: decomposition, input inversion, lens extraction, voice governance, semantic hierarchy, coordinator building. You learn the gradual release model as it applies to AI skill development. You practice teaching each move to your own students, starting with modeling, moving to guided practice, arriving at independent work. Named pedagogy applied to your classroom.
Deliverable: Pedagogy scaffolds for each of the six practices, adapted to your discipline and student level.
Meta-pedagogical: adapting the methodology to your context
The Joinery offerings are built for independent creative practitioners. Your context is different. You might teach undergraduates who have never worked professionally. You might teach MFA candidates who have deep craft but no AI experience. You might run corporate training for a creative team. The practices are the same. The sequencing, depth, and framing change based on who is in the room.
This module teaches you to adapt the methodology to your discipline, your student level, and your institutional constraints. You build your own course structure from the six practices, choosing which to foreground, how to sequence them, and what projects to assign. A design educator might lead with lens extraction because students already think in terms of influences. A writing educator might lead with voice governance because voice is the first thing AI flattens. The curriculum you build is yours. The practices are the shared foundation.
Deliverable: A complete curriculum plan adapted to your teaching context. Course structure, sequencing rationale, project briefs.
Meta-pedagogical: evaluating student work using the methodology
Evaluating AI-assisted creative work requires different criteria than evaluating unaided work. The question is not "did the student use AI?" but "did the student maintain their intent, their voice, and their evaluation standards while using AI?" This module teaches you to assess student work using the methodology's own framework: voice fidelity, input quality, lens coherence, governance integrity.
You build portfolio review protocols that evaluate the student's system, not just their output. A student who produces polished work with no governance infrastructure is weaker than a student who produces rougher work with a voice protocol, a lens array, and a documented process. You learn to evaluate the practice, not just the product.
Deliverable: A complete curriculum plan adapted to your own teaching context. Lesson scaffolds, evaluation rubrics, assessment protocols.
The pedagogy scaffolding in this track comes from direct classroom experience. Twelve students, twelve IEPs. Each student's processing reality required different accommodation: different task decomposition, different scaffolding, different evaluation criteria. The gradual release model (I do, we do, you do) was not a theory. It was how you got a student from "I can't start" to "I built this myself" inside a single semester.
That same scaffolding structure governs every Joinery course. Foundations uses gradual release. Input Inversion uses contrastive learning. Voice Governance uses apprenticeship to independent practice. The pedagogies are named because naming them makes them teachable. This track teaches you to use them.
This track is a future offering. Pricing and structure to be announced. See all offerings.
Other specialist tracks: Brand Designer · Copywriter · Fiction Writer · Nonfiction Writer · Creative Director
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