Summary

TeachAny addresses the pedagogical gap in AI-generated educational content by offering an "Instructional Design OS." It transforms K-12 topics into interactive lessons with explanation, practice, and feedback, targeting educators, parents, and students globally. The system enables AI to create effective, engaging learning experiences beyond mere content generation.

How It Works

TeachAny functions as an AI courseware instructional design system, embedding learning science theories into a four-phase workflow. Key differentiators include its Subject Adaptation Matrix for discipline-specific interactions, the Five-Lens Method for complex concepts, and a PBL Project Decomposition Engine mapping project goals to curriculum standards. It integrates as an AI Skill for tools like CodeBuddy.

Quick Start & Requirements

Recommended installation is a sparse Git clone (~110 MB) for the standard preset. Users integrate TeachAny as an AI Skill by symlinking its directory into their AI tool's skill path. A full clone (~1.6 GB) is available for contributors. All courseware is accessible online via https://www.teachany.cn/.

Highlighted Details

• Supports 14+ subjects across multiple curriculum systems (China, IB, Cambridge, AP, US CCSS).
• Features over 420 interactive HTML courseware examples, including official and community contributions.
• Original contributions include the PBL Project Decomposition Engine, Five-Lens Method, and Subject Adaptation Matrix.
• Courseware is browser-based and modifiable.

Maintenance & Community

Contributions are welcomed for course creation, knowledge base expansion, translation, and documentation. Community courseware is included, but specific community channels or roadmaps are not detailed.

Licensing & Compatibility

TeachAny uses a dual license: AGPL-3.0 for non-commercial use (personal, academic, public schools) and a Commercial License for commercial deployment (SaaS, enterprise). AGPL-3.0 requires derivative works to be open-sourced. Project trademarks (TeachAny™, 教我学™) are asserted, requiring forks to rename.

Limitations & Caveats

The AGPL-3.0 license's strong copyleft nature requires careful consideration for commercial integration. The trademark policy mandates renaming for forks. Specific performance benchmarks, known bugs, or platform limitations are not detailed.