LessonStudio: Agentic Environment for Interactive Educational Content Generation

Agentic AI systems are increasingly used to generate educational content such as figures, slides, and videos, yet most existing systems still treat lessons as static artifacts that learners passively consume after generation. We introduce LessonWorld, an environment for human-AI collaborative authoring of interactive, executable educational content. LessonWorld represents lessons as dynamic state machines in which students can manipulate 3D objects, write mathematical expressions, interact with visualizations, and ask questions, with the lesson pathway adapting to their actions. LessonWorld consists of three components: (1) LessonEngine, a TypeScript-based authoring platform with a stateful runtime and programmatic primitives for constructing and modifying interactive lessons; (2) LessonAgent, a distributed agentic pipeline that grounds lessons in instructional resources, generates interactive figures, composes lessons, and iteratively validates and adapts them; and (3) LessonBench, a benchmark spanning challenging scientific demonstrations and spatially complex figures, with automated VLM-based pairwise evaluation and human evaluation of over 2,000 figure/demo pairs and 960 minutes of educational videos and interactive lessons. Across benchmark tasks, LessonAgent outperforms existing methods on figure generation and interactive content generation in both automated and human evaluations. Together, LessonWorld establishes interactive, executable lessons as a new paradigm for agentic educational content creation.