用代码驱动生成教学视频，让教师从制作转向设计教学意图。
TeachMaster: Generative Teaching via Code
- 以代码为中介，多智能体协作完成教学视频生成
- 生产成本降至传统方式的0.3%，且结构清晰、可编辑
- 适合教育科技公司和高校教师快速构建课程内容
高质量在线教育的可扩展性受限于人工内容创作的高成本与慢周期。尽管视频生成技术有所进步，但现有方法因像素级、黑箱特性，难以保障教学逻辑与精准控制。本文提出生成式教学新范式，将教师角色从手工创作者转变为高层级教学意图制定者，由智能体团队负责执行。我们构建了TeachMaster多智能体框架，利用代码作为中间语义媒介，协调规划、设计、渲染等环节，自动化生成可解释、可编辑、符合课程结构的教育视频。实验表明，TeachMaster显著提升制作效率，保持结构连贯性与视觉质量，生产成本仅为传统课程视频的0.3%，为规模化教育提供可靠解决方案。
原文摘要 · Abstract (English)
The scalability of high-quality online education is hindered by the high costs and slow cycles of manual content creation. Despite advancements in video generation, current approaches often fail to ensure pedagogical structure and precise control due to their pixel-level, black-box nature. In this paper, we propose Generative Teaching, a novel paradigm shifting educators from manual creators to high-level directors who focus on pedagogical intents while agents handle the execution. To realize this vision, we introduce TeachMaster, a multi-agent framework that leverages code as an intermediate semantic medium. Unlike traditional video generation methods, TeachMaster orchestrates a collaborative team of agents, spanning planning, design, and rendering, to automate the production of interpretable, editable, and curriculum-ready educational videos. Experiments validate that TeachMaster significantly boosts production efficiency without compromising structural coherence or visual fidelity, slashing production costs to only 0.3% of traditional online course videos and providing a robust solution for scalable education.
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