A "personal learning system" that ordinary people can directly use to study, learn languages, learn skills, prepare for exams and work.
Many people have a deep-rooted misunderstanding about learning:
As long as I spend enough time, I should learn.
So we will see a very common phenomenon.
I memorize English words for two hours a day for half a year, but I still can’t remember the words when I actually speak English.
A person has bought dozens of investment books, watched a lot of financial videos, and met a real company, but still doesn’t know where to start analyzing.
A person has learned programming for three months and understands everything when watching tutorials. After turning off the tutorials, he cannot even write a simple program.
There are also people who read extremely seriously, drawing key points on every page and taking dense notes in every book. However, after a few months, someone asked him:
"What are the three most important points of this book?"
But he couldn't tell.
The problem is often not that these people don’t work hard.
The real problem is:
They mistake “exposure to knowledge” for “learning knowledge”.
Real learning is not the process of information entering the eyes or ears, but the process of gradual changes in the human brain.
Problems you couldn’t solve before can now be solved.
You can now distinguish things that you couldn't distinguish before.
Things that you once needed to be reminded of by others can now be judged by yourself.
You could only follow the examples before, but now you can still do it under a different environment.
This is when learning really happens.
Compressing a large amount of learning research into a framework, truly effective learning must solve at least eight questions:
What do I know?
How is this knowledge connected in my brain?
Why do I want to continue learning?
What small abilities do the abilities I want to master consist of?
What should I practice instead of just watching?
How do I know what I did wrong?
Is my environment supporting learning, or is it constantly undermining learning?
And the last and most important question:
Can I observe my own learning and then constantly change my learning methods?
The combination of these eight questions constitutes real learning ability.
1. Learning Doesn’t Start from Zero—it Starts with What You Already Know
When any new knowledge enters the brain, it will not fall on a blank piece of paper.
It will definitely encounter the experiences, concepts, habits and judgments you have formed in the past.
This can be both an advantage and an obstacle.
For example, a native Chinese speaker learns Japanese.
When you see "reluctant", it is easy to remember because the Chinese characters provide a ready-made memory hook.
When you see a lot of Chinese character vocabulary, you tend to learn faster than people who have no Chinese character background at all.
This is the advantage brought by existing knowledge.
But the same advantages can also create mistakes.
Because you will subconsciously think:
"I know this Chinese character, so I also understand this word."
In fact, the meaning, usage scenarios, tone and even collocation methods in Japanese may be completely different.
Past knowledge has not disappeared, but is actively explaining new knowledge.
So a very important learning principle appears:
For example, you are going to learn to invest.
The first step for many people is to open an investment book.
A better way may be to take out a piece of paper and answer a few questions:
What is profit?
What is cash flow?
Is a company with growing profits necessarily a good company?
Does the increase in stock prices mean that the company’s value has increased?
Is the lower the P/E ratio, the more worth buying?
Don’t look up the answer.
Write your own answer first.
You will quickly discover three areas:
Really Known.
Completely unknown.
And the most dangerous thing:
Thinking you know, but actually understanding it wrong.
The third kind of knowledge is often more difficult to deal with than "complete ignorance".
Because people who don’t know are willing to learn, while people who are wrong but confident will use the wrong framework to explain all the knowledge that follows.
So when learning a new field, a very effective action is called:
Knowledge physical examination.
Expose yourself to old knowledge before you begin to absorb new knowledge.
2. Your Skill Level Depends on Connections, Not the Amount of Knowledge
A very big difference between beginners and experts is that it is not just that the experts know more.
More importantly:
The master knows why this knowledge belongs together.
Suppose a person who has just learned photography memorizes dozens of concepts:
ISO.
Aperture.
Shutter speed.
Focal length.
Depth of field.
White balance.
Dynamic range.
Exposure compensation.
If these concepts are just a vocabulary in his mind, he still may not know how to adjust them when actually taking pictures.
And a skilled photographer sees:
"Indoors, people are moving, and the light is relatively dark."
His thinking may immediately become:
Movement means that the shutter cannot be too slow;
After the shutter is raised, the light intake is reduced;
The aperture needs to be expanded or raised. ISO;
If you expand the aperture, the depth of field will change;
So I have to decide how to exchange it based on the picture I want.
The same knowledge points are completely different in the brains of two people.
What a person has is:
A list of knowledge.
Another person has:
A network of knowledge.
Experts’ knowledge is usually more easily organized around deep patterns, problem types, and cause-and-effect relationships, whereas novices are more likely to organize their knowledge around surface features.
This explains a very common phenomenon:
Why do some people memorize a lot but don’t know how to use it?
Because knowledge has been stored in many drawers, but no roads have been built to connect these drawers.
Therefore, really good notes should not just be:
Concept A
Definition...
Concept B
Definition...
Concept C
Definition...
Better notes should constantly answer:
Why does A lead to B?
What is the difference between A and C?
Under what circumstances should A be used instead of B?
If A changes, how will B usually change?
When do you encounter this problem in the real world?
At this time, you are no longer just recording information, but constructing a model.
The model is what is really needed to solve the problem in the future.
3. Don’t Ask “How Can I Make Myself Like Studying?” Ask “Why Is This Worth Learning?”
Many people think that their failure in learning is due to lack of willpower.
So they kept looking for:
How to be self-disciplined?
How to quit using your cell phone?
How to stick to three hours a day?
How to make yourself love learning?
These questions are certainly valuable.
But many times, problems further upstream are not solved at all.
That is:
Why should I learn this?
Human energy is limited.
When you see neither the value nor the possibility of success in something, it is naturally very difficult to persist.
Learning motivation is largely affected by two judgments:
Is this matter important to me?
And:
Do I think I can do it?
Learning research usually regards value and success expectations as important factors affecting motivation.
For example, two people are learning English.
The goal of the first person is:
"English is very important, so I have to learn English well."
The goal of the second person is:
"In six months, I will be able to travel abroad alone, and try not to rely on translation software from checking into hotels to participating in local activities."
Which goal is more sustainable?
Usually the second one.
Because English is no longer an abstract "important knowledge", but has become a concrete ability.
So before learning, you can ask yourself three questions:
After learning, what can I do that I can’t do now?
What have I lost if it still doesn’t happen in a year?
What observable changes do I hope to see in myself in three months?
“I want to study economics” is too vague.
"I need to be able to understand why raising interest rates will affect housing prices, exchange rates and stocks in the news" is much clearer.
"I want to learn AI" is too vague.
"I want to be able to use AI to shorten the data collection work that takes four hours a week to one hour" begins to have practical significance.
A good goal is not to move you.
A good goal should be able to guide action.
4. Don’t Tackle the Whole Skill at Once—Break It Down First
Many learning failures are not due to insufficient practice, but to the fact that the practice object is too large.
For example:
“I want to improve my writing skills.”
Sounds good.
But there is not actually a separate button for "writing ability".
It may include at least:
Understanding the problem;
Looking for materials;
Refining ideas;
Judging the credibility of the information;
Establishing the structure of the article;
Explain complex concepts;
Examples;
Control sentences;
Delete duplicate content;
Determine what readers need to know;
Revise the article.
If a person's article is not good, just tell him:
"Write more."
The effect may be limited.
Because the real problem may just be:
Not being able to organize the structure.
Another person may have a good structure, but:
No evidence.
The third person may have good content and structure, but:
Cannot explain complex concepts.
Complex capabilities must go through three stages:
Unpacking.
Practice separately.
Regroup.
This is also an important rule for mastering complex skills: learners need to acquire component skills, but also practice how to combine these skills, and judge when to call which skill.
For example, learning to give a speech.
Don’t give a 30-minute speech from beginning to end every day.
You can train separately:
Only practice the opening one day.
Only practice interpreting data for one day.
Just practice telling stories one day.
Only practice answering questions one day.
Only practice speaking speed control one day.
Wait until these partial abilities become more and more stable before giving a complete speech.
This is very similar to athlete training.
Football players do not play only 90 official minutes every day.
They will break down the complete game into:
pass,
shot,
movement,
Stop the ball,
physical fitness,
tactics,
Then regroup.
To learn any complex ability, you should learn to do the same thing.
5. Doing Something Many Times Is Not the Same as Practicing Effectively
Just because a person has been driving for ten years does not mean that his driving skills improve every year.
Ten years of work does not mean that a person has accumulated ten years of ability.
Because a lot of repetition will only make existing patterns more and more automated.
If the original pattern is correct, it will become more and more proficient.
If the original pattern was wrong, it will also become more and more proficient.
so:
Practice alone does not automatically produce improvement.
Truly effective practice requires at least three conditions:
First: Set a Specific Goal
no:
"Practice English today."
Instead:
“Today was training on understanding numbers, time and gate information on airport announcements without subtitles.”
no:
"Practice Excel."
Instead:
"Today I can use XLOOKUP to complete data matching between two tables without reading the tutorial."
Second: Practice Just Beyond Your Current Ability
It is too simple and there is no new adaptation.
If it is too difficult, you will only continue to fail.
Good exercises tend to be in one area:
I don’t know how to do it yet, but after thinking and trying, it may be possible.
Third: Get Feedback Quickly
This is probably the most underestimated thing in learning.
Suppose you write an English composition every day.
Persist for one year.
Sounds like a lot of hard work.
But if no one tells you this year:
Which grammar is wrong;
Which expressions are correct but unnatural;
Which sentences are affected by Chinese structure;
Which words will not be used in this context,
Then you may practice the same mistake 365 times.
Effective practice is not:
Practice → practice → practice.
Instead it should be:
Try → discover deviations → correct → try again.
Goal-oriented practice combined with timely, specific feedback that can guide the next action can truly promote ability improvement.
So when studying, you should not only calculate:
“How many hours have I practiced?”
You should also calculate:
“How many mistakes did I find today that I didn’t know about before?”
The moment the mistakes are discovered is often where learning really begins.
6. To Know Whether You’ve Learned It, Close the Answer and Try
This is one of the traps that self-learners are most likely to fall into.
While reading:
I understand.
When watching the teacher solve the problem:
I understand.
When watching the video tutorial:
I understand.
When watching others write the code:
I understand.
But when it is my turn:
No.
The reason is simple.
Recognizing answers and generating answers are completely different abilities.
Just because you feel familiar with an explanation does not mean that you can explain it independently.
Just because the solution to a problem seems reasonable does not mean that you will be able to think of it yourself next time.
So after learning a piece of knowledge, the most worthwhile action is not:
Read it again.
Instead:
Turn the material off.
Then ask yourself:
What else can I say?
For example, after reading a chapter of a book, don’t go back and review it immediately.
First get a piece of white paper.
Write:
What problem does this chapter mainly solve?
What are the three most important points?
What is the relationship between them?
What are some examples?
Under what circumstances may this perspective not apply?
If I were asked to explain it to someone who has never read it, what would I say?
What you can’t write is the place where you really need to relearn.
This is a very cruel but very efficient learning method.
Because it changes:
“I feel I understand”
Into:
“I can prove that I understand . ”
7. Learning Isn’t Just Knowing How; It’s Knowing When to Use the Method
When many people learn, they will stop at a very dangerous stage.
The teacher told him:
This is a type A question.
Method A should be used.
Then he made it successfully.
So I thought I had mastered method A.
But the real world will not tell you:
"Hello, the next problem is type A, please use method A."
The really difficult ability is:
Identification of problems.
For example, a person studies statistics.
He might:
Calculate the average.
Do regression.
Do a t test.
Do the chi-square test.
But after giving him a piece of real data, he may not know at all:
Which method should be used now?
Why?
Under what conditions can it not be used?
This means that what he masters is:
Tool operation.
Instead of:
Tool selection.
Real masters not only know:
“How to use this method.”
They also know:
“When to use it.”
“Why to use it. "
"When it cannot be used."
"What are the alternatives?"
Therefore, when you learn a piece of knowledge, you can deliberately add a practice:
Don’t Label the Problem Type in Advance
Mix different types of questions together.
Then judge first:
What is the problem?
Decide what method to use.
This step will slowly transform knowledge from "exam knowledge" into "realistic abilities".
8. Your Environment Isn’t Background—it Is Part of the Learning System
Many people attribute all learning results to individuals:
Lack of self-discipline.
Poor concentration.
Poor willpower.
But human behavior does not occur in a vacuum.
The environment will continue to change the cost of learning.
Imagine two environments.
Environment A:
The mobile phone is placed on the table.
WeChat keeps popping up windows.
The browser has more than a dozen pages open.
The TV nearby is playing.
The learning goal is "Look at English today".
Environment B:
Put the mobile phone in another room.
The computer only opens the materials that need to be used.
There is a piece of paper with today's task written on it on the table:
"Complete 20 minutes of listening + 5 minutes of retelling."
Which environment is easier to persist in?
The answer requires little discussion.
The learning environment affects engagement, belonging, and learning behavior.
If transformed into personal learning, it means a very important principle:
If the mobile phone distracts you, increase the cost of holding the mobile phone.
If you don’t want to study when you get home, put the book on the table in advance and open it to the page you need to study.
If you can’t keep up with your workout, put the gym on your commute instead of 40 minutes away from home.
If you don’t know where to start every time you study, leave the next task at the end of the previous day.
An excellent environment will not make you suddenly full of motivation.
It just makes the right behavior easier to happen.
This is already very important.
9. The Highest-Level Learning Skill Is Seeing How You Learn
A junior learner often asks:
"What is the correct answer?"
More mature learners will ask:
"Why is the correct answer this?" ”
And really good learners will continue to ask:
“Why didn’t I think of it just now?”
This has entered the most important level of learning:
Metacognition.
That is, observe your own thinking process.
Excellent independent learners need to gradually learn to evaluate tasks, judge their own strengths and weaknesses, choose methods, execute, observe results, and then adjust strategies based on the results.
For example, preparing for an exam.
An ordinary student may find:
"This time the math is only 65 points."
Then conclude:
"The math is still not good."
But a person with learning diagnosis ability will continue to classify:
10 points because the formula is remembered incorrectly.
8 points due to calculation error.
7 points due to incorrect understanding of the question.
5 points because there is not enough time.
5 points due to the inability to recognize unfamiliar question types.
So:
“Not good at math”
This vague question was broken down into five manageable problems.
His study plans naturally changed next.
This is where metacognition is truly valuable.
It transforms:
Emotional judgment
into:
Problem diagnosis.
10. Don’t Use One Method to Learn Everything
Different people have different experiences, backgrounds, and development statuses. These differences will affect how they understand learning tasks and their final performance.
Putting this point into personal learning, there is another very important conclusion:
There is no fixed learning process that will always work for everyone.
The same Japanese textbook may have completely different difficulties for a person who already knows Chinese and a native English speaker.
For the same programming course, the things that people who have a good foundation in mathematics and those who have no logic training at all really need to supplement are different.
Even the same person should change his methods at different stages of learning.
When you first start learning English, you may need a lot of input.
At the intermediate level, there may be a real lack of output.
When you first start learning photography, you need to understand the parameters.
After studying for a year, the problem may no longer be parameters, but composition and aesthetics.
When you first start learning investment, you need to establish concepts.
After a few years, the more important issues may become judgment, discipline, and avoiding emotional distractions.
So one of the most dangerous questions is:
"What is the best way to learn?"
A better question is:
“What method is most suitable for me now, my current goals and the problems I am encountering now?”
11. Combine the Eight Principles into a Learning System You Can Actually Use
After compressing the previous content, a complete learning process can be designed into the following eight steps.
Step 1: Define the End Capability
Don’t write:
“Learn Python.”
Write:
“Be able to independently read Excel data, organize and analyze, and automatically generate reports.”
The final goal must describe:
What you want to be able to do.
Step 2: Assess Your Starting Point
Don’t rush to learn.
Let’s do a few questions first.
Try to explain a few concepts.
Try to complete a real task.
Find out:
What you know;
What you don’t know;
What you misunderstand.
Step 3: Build a Knowledge Map
After you start learning, keep sorting out:
What are the core concepts?
What is the causal relationship between them?
Which concepts belong to the same category?
When to use which method?
Gradually turn scattered knowledge into a network.
Step 4: Connect It to Real-World Value
Ask yourself:
What problems can you solve after learning?
When will it be used?
What significant changes will I see in three months?
Connect learning with the real world.
Step 5: Break the Skill Down
Decompose "I want to learn X" into a number of small skills.
Train the weakest link individually.
Step 6: Produce and Practice Actively
Don’t just look.
Explanation.
Answer.
Write.
Do the questions.
Operation.
Prediction.
Create.
Output can quickly expose gaps in knowledge.
Step 7: Build a Feedback Loop
Continuously compare:
What is the difference between my answer and the correct result?
What’s the difference between my approach and the master’s?
Why does this error occur?
What should be changed in the next round?
Then practice again.
Step 8: Review Your Learning Method Regularly
Spend ten minutes every week to answer:
What did you really learn this week?
What place still doesn’t know?
What is the biggest mistake?
Which learning method is most effective?
Which one is actually just a waste of time?
What should I change next week?
After persisting for half a year, you will gain more than just knowledge in a certain field.
You will begin to acquire a more important ability:
The method of learning anything new.
12. Strong Learners Stop Being Led by Content and Start Directing Their Own Learning
Many people stay in a passive learning state throughout their lives.
You will learn whatever the teacher tells you.
Just remember what you write.
Just memorize whatever is tested in the exam.
Watch whatever the video recommends.
The biggest problem with this method is not its low efficiency.
But you always give control of learning to others.
Really mature learners will gradually establish their own learning cycle:
Determine goals.
↓
Diagnose the current situation.
↓
Learn the necessary knowledge.
↓
Build knowledge structures.
↓
Dismantling skills.
↓
Active practice.
↓
Get feedback.
↓
Problem found.
↓
Adjustment methods.
↓
Practice again.
This cycle can continue forever.
And this may be what all learning theories really want to help people gain in the end:
It is not to remember more knowledge,
but to gradually possess an ability -
When you face a completely unfamiliar field, you know how to take yourself from "no" to "yes" step by step.
Conclusion: Don’t Count Study Hours—Measure What Has Changed
The easiest illusion to create when studying is:
A sense of effort.
I studied for three hours today.
I finished reading a book.
Collected twenty articles.
After listening to ten courses.
I took fifty pages of notes.
These numbers can prove that you have invested time, but they cannot prove that learning has occurred.
What is really worth observing is another set of indicators:
I couldn’t explain it before, can I explain it now?
I couldn’t do it before, can I do it now?
I used to need to read the answers, but now can I complete it independently?
I used to know only one situation, can I still judge it in another environment now?
Will I repeat the mistakes I made before?
I didn’t know what I was not good at before, now do I know it?
If these things change, you may be making rapid progress even if you only study for forty minutes a day.
If these things never change, then sitting at the desk for five hours a day may just keep repeating the "look of learning".
So, what is truly worth pursuing is not becoming a person who studies very hard.
Instead, become a person who can constantly answer three questions:
Where am I now?
Where do I want to go?
What should be changed the next time you practice?
When a person can continuously answer these three questions, what he really owns is not just a certain book, a certain language, or a certain skill.
What he has is an ability that can be used for many years:
Teach yourself.
The most important thing to remember for a long time is actually only one formula:
Effective learning ≈ correct starting point × knowledge structure × learning motivation × skill dismantling × active practice × effective feedback × appropriate environment × self-adjustment.
If any of them is close to zero for a long time, it will be difficult to make up for it just by "increasing study time".