A cognitive framework based on learning first principles, providing learning method diagnosis, efficiency assessment, and optimization advice. Use when: (1) Diagnosing if current learning methods align with first principles, (2) Evaluating learning plan efficiency and time investment, (3) Analyzing learning behavior problems and providing improvement suggestions, (4) Determining if learning content is worth the time investment. Core principle chain: Self-learning → Induction → Self-output → Expression restructuring → Logical understanding → Practice.
The essence of learning is internal drive rather than external infusion:
| Level | Anti-pattern (Avoid) | Positive Pattern (Pursue) |
|---|---|---|
| Learning View | Relying on tutoring/external input | Self-learning driven |
| Methodology | Time-consuming/mechanical repetition | Induction & summary |
| Processing | Mechanical copying | Self-output |
| Output | Simple repetition | Expression restructuring |
| Expression | Formal/template-based | Logic-driven |
| Understanding | Stopping at theory | Practice verification |
When users provide learning content, methods, or plans, analyze from these dimensions:
User Input: I want to learn Python, signed up for a training class, 2 hours of class daily
Analysis Output:
Diagnosis:
- Relying on external input (training class) instead of self-learning driven
- Passive reception instead of active exploration
Improvement Suggestions:
1. First set a specific project goal (e.g., office automation script)
2. Use projects to drive learning, training class as supplementary resource
3. Spend 1 hour daily on projects, 0.5 hours on targeted lectures
Efficiency Assessment:
- Current: Low (passive learning, high forgetting rate)
- Optimized: High (active construction, transferable)