mlsanityData to 7 Oct 2026

TeachMaster: Generative Teaching via Code

arXiv 2601.04204 ↗First posted 7 Dec 2025cs.CY cs.AI cs.CLcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 34 of its 72 references that are in the map. First posted on arXiv 7 Dec 2025.

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34 of 72 references.

References · 34

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22 more
  1. 2023ViperGPT: Visual Inference via Python Execution for Reasoningcited by 591
  2. 2024Executable Code Actions Elicit Better LLM Agentscited by 537
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