There is too much knowledge, and it is impossible to quickly absorb all of it into the brain. It is necessary to use specific methods and skills to quickly sort out and build your own knowledge system in the face of a large amount of knowledge.
The goal of learning is not only to memorize knowledge, but to search for knowledge, filter, perceive, understand, use
Building a knowledge system is like building a building
First of all, there must be sufficient building materials--a variety of knowledge points
Then these scattered and rich knowledge points are formed into an organic and orderly structure - tacit knowledge, which is like the construction drawings and instructions behind the building that ordinary people cannot see
Before collecting knowledge points and creating structures, the foundation of the building must be laid--meta-knowledge
Wang Guowei said in "Human Ci Hua" that those who have achieved great careers and great knowledge in ancient and modern times must pass through three realms:
"Last night the westerly wind withered the green trees, independent high-rise buildings, looking all the way to the end of the world", the first realm
"The belt is getting wider and you will never regret it, and you will be haggard because of Yixiao", the second state
"Looking for him thousands of times in the crowd, and looking back at dusk, the man is in a dimly lit place", the third stage
Summarize:
From this, we know that we need to read more, accumulate at the beginning, and enrich the foundation. This is the underlying meta-knowledge, which is point-like and discrete; Knowledge points, at this time, the knowledge points have become the status quo and have a certain system. Some theories can be used in some of their own opinions, articles, and sharing, but they are still used at this time. There is no set of models of their own, and there is no To achieve cross-border integration of knowledge; continue to accumulate on the second basis, gradually integrate and achieve cross-border application, and gradually form its own knowledge system and model.