Step-by-Step: Building a Mental Model
Identify key components. Map relationships showing how parts connect. Test predictions against reality. Refine based on failures.
All articles tagged with "Learning"
Identify key components. Map relationships showing how parts connect. Test predictions against reality. Refine based on failures.
A clear, jargon-free explanation of what mental models are, how they work, and why they matter for thinking and decision making.
Learn what deliberate practice is, how it differs from regular practice, and why it's the key to developing expert-level skills.
Understand the paradox of too many frameworks—when collecting mental models becomes counterproductive and how to focus on what matters.
Understand the cognitive science of memory retention—encoding, consolidation, retrieval—and what actually prevents forgetting.
Learn the evidence-based path to developing genuine expertise through deliberate practice, feedback, and structured knowledge development.
Understand the critical difference between information and knowledge, and why confusing them leads to shallow understanding and poor decisions.
Identify the common reasons learning fails—from illusions of mastery to passive consumption—and how to avoid these traps.
Discover why passive repetition fails to build real understanding, and what actually works for creating durable, usable knowledge.
Explore why understanding principles provides more durable advantage than memorizing tactics, and how to extract principles from tactics.
Use cognitive load theory to design better learning experiences, study methods, and instructional materials that respect working memory limits.
Discover how learning actually works—from memory formation to skill acquisition, understanding evidence-based learning principles.
Understand mental models—thinking tools that simplify complexity, improve decisions, and help you understand how the world works.
Brain learning: neurons fire together during experience, synapses strengthen with repetition through long-term potentiation, wiring pathways permanently.
Doing provides immediate feedback and builds skill through practice. Studying gives systematic foundational knowledge efficiently.
Test yourself frequently. Space reviews over time. Interleave topics rather than blocking. Elaborate by connecting new to existing knowledge.
Teaching delivers information through lectures. Understanding requires active processing, connecting concepts, testing knowledge, applying practically.
Standardization brings efficiency and scalability. Creativity brings novelty and individuality. Education struggles to balance both imperatives.
Knowledge is context-dependent. What works in situation A fails in B. Experts struggle to teach tacit knowledge. Transfer requires deliberate abstraction.
Education is structured, credential-focused, and standardized. Learning is active, self-directed, need-driven, and outcome-focused without formal structure.