Weekly learning methods
Show you the essence of your studies
Although now you have chosen other ways of learning because of a moment of compromise. But one day you'll be a tree grower, so that the model tree will light up your dreams and your future。
I used to be a hard-working man。
In high school, i was often the first to go to the classroom and the last to leave; in college, i could read hundreds of books a year and learn a lot of knowledge-paying courses a year。
But, unfortunately, like everyone else, i've read so many books, studied so many courses, read so many articles。
There is little that can be remembered。
Like a funnel for water, there seems to be a lot of water pouring in, but the last thing left was a few beads stuck in the walls。
So at the moment of the model tree, it hurts
"if only that knowledge had settled in my model tree, if only i had studied it in high school..."
But it's not too late。
It is hoped that from this moment on, we can learn with model trees, and that as much knowledge as we can。
What's a model tree
Model trees are a set of learning ideas that combine many of the bottom learning methods。
Examples include links between old and new knowledge, repetition of spacing, search exercises, stock thinking, cluster thinking, thinking models, structural thinking, first principle, etc。
I. Stock thinking
No records exist。
We've read so many books, learned so many lessons, and now we've forgotten everything。
That's because we don't have stocks, and we don't have time to refine them into thinking models and extract them from the outside brain。
We go to books and learn from memory, and end up like a funnel, with a lot of water that seems to be pouring in, and end up with water attached to the funnel, with only a few drops。
Because that's how we remember our brains。
When all knowledge enters our brain, it is filtered through layers. In short, if that knowledge is not processed, our brains will admit that it is not important and will forget it all。
The last part of the knowledge is being processed by the brain to form a long-term memory, that is, you've read so many books, and now you remember that part。
This is the fatal "defect" of our brain。
Behind this deadly defect is another, more lethal one: “as most of the knowledge learned is forgotten, the next time to learn the same knowledge, it is basically a new one”。
In other words, we begin to learn basically from scratch。
This makes it difficult for us to link old and new knowledge, because old knowledge is almost forgotten, and we can only link a small fraction of old and new knowledge。
That is one of the greatest reasons for our inefficiency in learning。
What do we do
The solution is to create an external brain to replace our memories. For the external brain, all the knowledge entered is a permanent memory, thus avoiding the deadly problem of learning to forget。
And this way, because old knowledge is permanently reminiscent of the brain, every new knowledge we learn is connected to all old knowledge。
This is the highest level of learning。
I call this learning process web-based learning, and every new knowledge that comes into it needs to be connected to all the old knowledge of the past。
Like a spider web, every prey falls into it, and the whole net trembles。
In general terms, it is to put knowledge to the bottom, to keep it all when it comes in. This allows each learning to be incremental on a stock basis。
It's like water. If there's a big hole in the bottom of the barrel, the water is gone。
The purpose of the stock is to fill up large holes in the barrel bottom so that the amount of water that comes in is the amount of water。
This hole-making tool is the outside brain, and water is knowledge, and there's no outside brain learning, like a big hole at the bottom of a bucket when it's water。
Ii. Modelling of thinking
The second principle of a model tree is a model of thinking。
Thinking models are at the heart of the whole tree of the model, and all the knowledge that comes in is wrapped into thinking models that are stored outside the brain。
As for the thinking model, i'm going to give you a full session in the curriculum, and i'm going to give you a general introduction。
The idea of a model of thinking has only recently emerged, and many people may be less familiar with it or even ostracism。
You don't have to be oblivious. You've been learning from thinking
Every single thing in your brain is a thinker's model, such as "crawling, fighting," "drilling through, "failing is the fruit of success."
All of this is a model of thinking, except that nobody used it before, but it's not as big as it used to be, it's a model of thinking that basically guides us in our work and thinking。
Experience, skills, rationale, methodology, process steps, models, principles ... Are all thinking models。
These are several levels of thinking that you can refer to, of course, and that are basically the ones that guide you now。
If it's not clear yet, you can feel every article i've ever written, and they're all thinking models。
Okay, so why do you want to put the thinking model in the model tree
Because it is our own learning nature, we have modeled the world from birth and refined complex and vast information into a model to explain things and predict the future。
It's called the desire to model。
Without models, we have to use data and information to deal with things, and data are unlimited, information is unlimited, and we can't learn enough, and people can't do anything。
With models, we can be guided by little data and information。
For example, we now have to judge whether a person is a liar or not, and if we do not have a model, we need to be tricked by that person countless times, because every time he lies to us, every reason he makes up, we need to keep collecting data and information。
But if there's a model, as long as this guy cheats us three times, we can start with a conclusion that this guy is not credible。
This process of drawing conclusions is the process of modelling。
That is why we need thinking models, because knowledge is not complete, but it is limited。
And when you're reading the books, you're going to find that you're actually talking about one thing, that a lot of knowledge actually overlaps, that's the same thinking model。
One of wu's views was immediately hit, which is what wu was saying。
At first, you'd think that there'd be so many different things in the world, so many books, so many people, so you'd think it was a hairy thing. And when you get to a certain point, and you increase the amount of data, you find a new thing that comes in, and it's condensed, and it's basically in what category. Uberfan
It is also a model of learning for model trees that refines each knowledge into a thinking model, so that, as the volume of knowledge expands, it can end up in the old thinking model for virtually every new knowledge。
This reduces memory。
In the end, we just have to remember these thinking models, know how they work and what the principles are, and we can do it without you remembering every word。
And that's what i said in that article in "the brain" -- it's for thinking, not for remembering. We need to minimize the memory burden and focus more on thinking。
Of course, the model tree also needs memory, but it's not hard to remember, but to remember in a way of thinking and understanding, knowing what the idea is and how it works。
Remember that society is not about trial education, but about flexibility, not death。
Iii. Retrieving exercises
Although i have told you so hard not to be hard-headed but to be flexible。
But memory remains the foundation, and in fact model trees also need to be remembered, but in a more energy-efficient and easier way。
First, the memory unit went from a huge amount of knowledge to a model of thinking。
We always wanted to remember every word, and that memory was too big to remember. Now all we need is memory thinking models, and the amount of memory is down a thousand times。
Secondly, when we learn with model trees, each time we learn new knowledge, it's a search exercise。
Retrieval exercises have been confirmed by cognitive psychologists as one of the most useful ways of learning memory so far。
Because much of the knowledge belongs to the same thinking model, every time we learn the same thinking model, we retrace it; not on the same day, we learn it, but from the same day, constantly input knowledge, which is a spacing search; and in the middle we learn many similar thinking models, which are in other areas, which are penetrating search and diversity search。
What exactly is a search exercise, and we'll talk about it later。
So, basically, model trees never have to remember, because each input of new knowledge is a memory, and it's a search practice。
Iv. Structural thinking
Our regular learning is very fragmented, one piece here, one piece there, one piece apart。
Fragmentation is fatal, and when you use that knowledge, it's easy to die。
The model tree, on the other hand, requires all thinking models to form a pyramid structure, under which groups are grouped。
Thus, in learning, we can quickly think about the link between knowledge and knowledge; in practice, we know very clearly which steps to take。
So the important part of the model tree is: trim。
The aim is to create a structured knowledge system for confusing thinking models。
This is necessary, and small partners who have used model trees should be deeply touched, and each time a model tree is trimmed, they feel cognitively rising。
Why? I didn't learn anything new。
Because it is a leap of perception that leads to confused knowledge and to structured knowledge systems。
Ok, here's the four underlying principles of the model tree, but there's a lot of stuff that's going to be shared later for space reasons。
How the model tree works
So how exactly does the model tree work
Tools: tools to connect to the brain, i. E. Stocks, are the cloud notes software。
Steps for learning: every new knowledge is learned and thinking about what it is. Two picks it in the outside brain. Model trees are often trimmed to allow all thinking models to form a structured knowledge system。
