MCA Method (Mentor, Copilot, Agent) - Pedagogical framework to transform LLMs into effective educational mentors for programming learning through structured guidelines.

A high-performance 1D quantum tunneling solver using split-operator Fourier method with absorbing boundary conditions and Numba acceleration for simulating electron tunneling through potential barriers with proper probability conservation.

Problem complexity classification and learning progression framework with quantitative wickedness assessment methodology. Features 5 problem tiers (Simple→Super-Wicked), Base-N architecture (Base6→BASE120), and empirical validation from HUMMBL mental models research. Includes automated quality control and community templates.

🧑🏫 Transform LLMs into effective educational mentors, guiding programmers through active, tailored learning experiences with the MCA Method framework.