Reading record (18) | how to teach yourself a domain knowledge?


Reading purpose / source

Gain / feel after reading

  • Harvest 1: to learn a field, start with building a framework and establishing a picture
    • Framing method: search for about 3-5 classic textbooks related to this field and read them through
    • This stage answers three questions:
      • What: what is the research object in this field? What are the main schools and branches? What are the commonly used terms?
      • Why: what is the significance of this field? To solve what problem? Where are we going now?
      • How: what are the main methods in this field? What are the basic achievements widely recognized and applied?
      • This is the same idea as the “theme clarification” in planning.
  • Harvest 2: refine and improve the framework;
    • For the terms and concepts of “seemingly understanding but not understanding”, make it clear and thorough.
    • Quickly locate the concept you have doubts about and conquer it with as much information as possible.
    • In this process, the new concepts encountered shall be incorporated into the relevant concepts and understood clearly together.
    • Always ask yourself, “can I explain this concept clearly in my own words?”, Feynman on the concept, sort out their own understanding of the concept and definition
    • The purpose of this stage is to make the framework more accurate, aim oriented and delimit [boundary].
  • Harvest 3: reading, listening and learning with problems
    • Learn each knowledge point and build a connection between the knowledge points of the framework with the thinking of “connection”
    • The core of learning: the essence of knowledge is never the information itself, but the relationship between information.
    • The question is: what did I learn? What other knowledge points can it be associated with? How to build this connection?
    • Each knowledge point is regarded as a “knowledge element”

      • What: topic, structure, category
      • Why: principle, reason, origin
      • How: application, interpretation, result
    • The vast and various concept nodes can be combined to form a network
  • Harvest 4: Step 4: think and refine the theme to form results
    • Around the theme, how can different people and different views be integrated?
    • What is the development context? What is the relationship between each other? Why are these differences and similarities?
    • “Theme” – focus on a detail in our huge knowledge network and pick up a “local network”
    • Take the theme as the focus, refine, summarize and summarize the related knowledge points, and then give it a name to get the results.
  • Harvest 5: Step 5: migration and innovation
    • The meaning of migration is to transfer the old and known laws and patterns to new problems and situations.
    • What is the most important thing at this stage? It is the ability to understand and disassemble the external situation.
    • Summarize the refined topics and apply them to different scenes for realistic mapping, combined with examples
    • Steps to migrate
      • When accumulating knowledge in the first four steps, reserve an “interface” for knowledge (refer to how synapse in point 4)
      • When encountering new situations and problems, find out the core behind the problem by disassembling the problem.
      • Compare the problem core with the “interface” and apply the existing knowledge to new problems.
    • Method of migration
      • Analogy. We can think about what old problems and problems we know are similar to this problem, which can be imitated and analogized.
      • Black box. Regard this problem as a black box and think: what is its input and output.
      • Abstract. Look at the essence through the appearance of things. Get rid of the specific situation, try to generalize and abstract it, refine its structure and skeleton, and think about what kind of problem it is essentially?
  • Harvest 6: Step 6: establish a model and form a method
    • Break and practice. Keep looking for and discovering new situations, and practice disassembly and migration.
    • In fact, there are some commonalities among many new problems. Although they are different, they can all be migrated and solved with the same set of knowledge model. At this time, you create a “model”
    • Model and theme: what is the difference between them? The theme is internal, which is a series of “explanations” around a node in the knowledge network; The model is external. It is the result of moving the theme to a series of situations. The essence of the model is theme + situation; The theme focuses on “why”, while the model focuses on “how”.
    • The expression can be from event performance analysis to theme, then from theme summary to model, and then from model to related things
  • Harvest 7: update
    • A framework is built, a knowledge network is built, and it is always the “past”
    • An open system is a more stable system, and an open system can achieve entropy reduction
    • Understand and analyze new ideas and things in fragment learning and life, improve, modify, expand and link the original knowledge points, and form a development framework and system
    • The process of constantly updating the knowledge base and upgrading the brain operating system
  • Summarize a chart

    Reading record (18) | how to teach yourself a domain knowledge?


take action

Change expectations

  • Constantly summarize and refine to form their own learning methods.