Thinking Education System: Concept, Methodology, and Roadmap

This white paper presents a comprehensive concept and methodology of a system for teaching thinking, where artificial intelligence acts not as a testing machine but as a cognitive partner and teacher-companion. At the core of the method lies the sequence: frame → search → hint → consolidation → expansion → self-observation. The system emphasizes student interest, humor, individual levels of complexity, and responsibility through real choices and analysis of consequences. It includes architecture, lesson templates, metrics, risks, and an implementation roadmap, allowing for the creation of pilot prototypes today and gradual scaling into a full system within 5–10 years.