Thinkers whose frameworks illuminate this section.
Ericsson's deliberate practice framework is the closest empirical parallel to Gee's regime of competence — both insist that mastery requires calibrated challenge, specific feedback, and iterative refinement; Ericsson's research on experts shows the same cycle Gee identified in video games.
Vygotsky's zone of proximal development is the theoretical ancestor of Gee's regime of competence — the zone where challenge is just past current capability, scaffolded by a more capable other, which in the AI era is often the AI itself.
Wenger's communities of practice framework is the social-learning complement to Gee's affinity spaces — both insist that identity and mastery develop through legitimate participation in communities organized around shared practice, and both are threatened when AI replaces communal engagement with individual tool use.
Lave's concept of legitimate peripheral participation is the sociological complement to Gee's identity-formation framework — both insist that mastery develops through genuine participation in communities of practice, not through instruction or observation alone.
Gardner's multiple intelligences framework resonates with Gee's insistence that learning is embodied, contextual, and domain-specific — not a single transferable capacity but a collection of situated capabilities that develop through specific practices.
Bruner's scaffolding concept — the support that a more capable other provides to extend a learner's reach — is precisely what Gee argues AI can provide without eliminating the learning, if deployed as scaffold rather than substitute.
Freire's critique of banking education — in which knowledge is deposited into passive students rather than generated through active engagement — maps directly onto Gee's concern that AI-mediated work transforms practitioners from performers into audiences.
Han's analysis of the smooth, frictionless surface as pathological is the philosophical complement to Gee's learning science — the aesthetics of the smooth that AI produces is exactly what Han diagnoses as the erasure of the negativity through which human development occurs.
Illich's critique of counterproductive institutions — systems that undermine the very outcomes they claim to produce — applies with unsettling precision to AI tools that optimize for output while eroding the practitioner's capacity to understand what the output is doing.
Polanyi's tacit knowledge — the knowledge that practitioners know how to use but cannot fully articulate — is exactly what Gee's situated meaning produces through the mastery cycle and what AI threatens to bypass, leaving practitioners with explicit knowledge but without the tacit understanding that makes expertise resilient.
Bandura's self-efficacy theory illuminates the identity dimension of Gee's regime of competence — the belief in one's capacity to succeed at challenging tasks, which develops through mastery experiences and is eroded when those experiences are replaced by AI-mediated success.
