Teaching through Making: AI, 3D Printing, and Social Manufacturing for Education

Ge Jingwei

Abstract

AI is rapidly reshaping educational practice, both on the consumption side (large-language-model tutors, AI-augmented classrooms) and on the production side (text-to-CAD generators, parameter recommenders, vision-based print monitors, automated documentation). Maker education, the strand of education that asks learners to build artifacts that physically work, is most directly affected when AI absorbs the operational layer of making. The key difficulty this raises is organizational: the educationally substantive layer of making is a residue of judgment at points of tension (with demand, with the physical world, with materials and process, with time and resources), and these tension sources lie outside the learner’s own control, so no single classroom can supply them at the rate the judgment layer requires. The difficulty decomposes into four organizational shortfalls (failure visibility, demand diversity, evaluation multiplicity, iteration continuity), each of which a single makerspace under-delivers. We propose Teaching through Making: a framework that rewrites the social-manufacturing objective function for an educational context, derives the four organizational conditions, and maps each to a combination of ACP-based mechanisms (artificial systems, computational experiments, parallel execution) over a five-layer resource architecture (infrastructure, platform, content, intelligence, governance). A crossed-factor computational experiment establishes that the toolkit raises the four indicators above single-classroom baseline in a controlled setting, with positive evidence on the depth indicators (evaluation tension, chain depth) and qualified evidence on the breadth indicators (failure exposure, demand diversity); empirical validation in real classrooms is identified as the natural next step.

Artificial Intelligence for Education

Teaching through Making: AI, 3D Printing, and Social Manufacturing for Education

Abstract

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