TeachMaster: Generative Teaching via Code

TL;DR

TeachMaster introduces a multi-agent framework using code as an intermediate medium to automate and improve the efficiency of educational video production, maintaining pedagogical structure and visual quality.

Contribution

It presents a novel multi-agent system that enables high-level pedagogical control and automated video creation for scalable online education.

Findings

Production costs reduced to 0.3% of traditional videos

Significant boost in production efficiency

Maintains structural coherence and visual fidelity

Abstract

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.