Generative AI's emphasis on automation and efficiency challenges design education, where learning is grounded in exploration, reflection, and responsibility. This work introduces AI Craftsmanship, a value-oriented framework drawing on craftsmanship traditions that emphasize risk, rhythm, and care as central to learning through making. Through a Research through Design (RtD) approach, we designed an AI-integrated creative coding tool embedding these values into interactions and interface rather than outcomes. The tool supports designers learning generative pattern-making with p5.js by constraining AI, encouraging iterative experimentation, and foregrounding reflection. We studied the tool with five design practitioners through one-hour sessions and semi-structured interviews. Findings show craft values manifest unevenly: risk and rhythm shape early sense-making, while care emerges through reflective practices. Emergent values -- such as aesthetic judgment and confidence -- also motivated learning. AI Craftsmanship mediates values, tools, and materials, offering a value-driven perspective on designing AI systems for reflective, responsible, craft-informed learning in design education.

翻译：生成式AI对自动化与效率的侧重挑战了设计教育——这一以探索、反思与责任为根基的学习领域。本研究提出"AI工匠精神"框架，借鉴强调风险、节奏与关爱的工艺传统，将其作为"通过制作学习"的核心价值导向。通过"研究性设计"方法，我们构建了一款融合AI的创意编程工具，将上述价值嵌入交互与界面设计而非最终产出。该工具通过限制AI、鼓励迭代实验及强化反思，辅助设计学习者掌握基于p5.js的生成式图案创作。我们邀请五位设计从业者开展了一小时实操与半结构化访谈。研究结果表明：工艺价值的呈现具有非均衡性——风险与节奏主导早期意义建构，而关爱则通过反思性实践显现。此外，审美判断与自信等衍生价值同样激发了学习动力。本研究提出的"AI工匠精神"框架协调了价值、工具与材料三者关系，为设计教育中构建支持反思性、负责任且融合工艺智慧的AI系统提供了价值驱动型设计视角。