How to Learn Efficiently: Work With Your Brain, Not Against It

Many people have a misunderstanding about learning:

Thus, once encountering relatively difficult subjects such as mathematics, programming, physics, foreign languages, finance, and law, many people quickly come to a conclusion:

But if you carefully observe people who can truly master complex knowledge over the long term, you will find that things are not so simple.

Many excellent learners cannot understand it the first time they are exposed to it.

What they are truly good at is something else:

Knowing how to gradually turn a problem you temporarily cannot solve into a problem you can solve.

This is a skill.

And it can be developed.

The most important thing in truly effective learning is not:

But to understand how the brain actually works:

• Understanding;
• Remembering;
• Building connections;
• Developing skills;
• Solving problems.

If you master these patterns, many things that seemed 'impossible to learn on your own' in the past are actually just:

1. The most important first thing in learning: do not mistake "understanding" for "mastering"

This is one of the most common illusions in learning.

For example, a teacher explains a math problem.

You watch their process:

Step one.

Step two.

Step three.

You can completely understand it.

Then you get a feeling:

The next day, you cover the answers.

Try to do it yourself.

Suddenly you find:

Why?

Because:

Understanding someone else's thought process and generating your own thought process are two completely different abilities.

Here is a very simple example

Someone shows you:

Then calculates it step by step for you.

Of course, you can understand.

But the real test of ability is not:

Rather:

Therefore, learning should be divided into three levels.

First level: Familiarity

After seeing it:

Second level: Understanding

When others explain:

Third level: Mastery

Without any hints:

The really useful level is the third level.

2. Therefore, in the process of learning, one must frequently perform one action: take knowledge out of the brain

Many people's way of learning is:

Look.

Read books.

Watch videos.

Look at notes.

Watch the teacher solve problems.

Look again.

This method creates a strong:

The problem is:

Familiarity is very easily mistaken for mastery.

So a more effective method is:

After finishing reading, close the book.

Then ask:

Try to say it yourself.

Or write it yourself.

Or make a question yourself.

This action is very important.

Because:

The purpose of learning is not to put knowledge in, but to be able to take it out when needed later.

3. The best test question is not: 'Did I understand it?'

Rather:

For example, learning a new formula.

Don't watch it ten times in a row.

After understanding:

Cover the book.

Write it yourself.

Then write again after ten minutes.

Write it the next day.

Write again in three days.

If I can still write it,

It truly begins to enter your system of knowledge.

4. A sense of difficulty does not necessarily indicate poor learning outcomes

This is a very counterintuitive point.

Many people think:

In reality, not necessarily.

Some of the most effective learning activities

subjectively feel quite unpleasant.

For example:

Recalling.

Exams.

Doing problems yourself.

Explaining.

At these times, you constantly find:

But it is precisely this:

that strengthens the brain's ability to access information in the future.

5. Conversely, some learning methods that feel very comfortable may be mediocre in effectiveness

For example:

Continuous rereading.

Highlighting like crazy.

Watching videos repeatedly.

Copying neat notes.

These things easily give people a sense that:

But the problem is:

When you really need to use knowledge,

your brain may still not be able to find it.

Therefore, when judging the quality of learning,

do not ask:

You should ask:

6. When learning difficult content, the brain needs two completely different working states

When solving complex problems, people easily think:

In fact, this is not true.

The brain needs at least two complementary states.

They can be simply understood as:

Focused Mode

and

Diffuse Mode

7. What Is Focused Mode?

It is:

For example:

Carefully looking at a math problem.

Analyzing code.

Memorize vocabulary.

Read a difficult paper.

Write a report.

At times like this:

The brain follows already established neural pathways,

searching for answers.

It is very suitable for:

• precise calculation;
• known methods;
• familiar problems;
• deep analysis.

8. But focus also has a problem

When you stare at a problem,

thinking is easily limited to:

Then a classic situation arises:

Trying a question.

Thinking for 20 minutes.

Thinking for 40 minutes.

Getting more and more frustrated.

Still can't get it.

Then:

Take a shower.

Go for a walk.

Sleep.

Suddenly the next day:

Almost everyone has had this experience.

9. Why do we think of the answer after leaving the problem?

Because when attention shifts away from the problem,

the brain does not completely stop working.

It becomes freer to:

• recombine information;
• look for distant connections;
• try different paths.

As a result, things that could not connect while focused

might suddenly link together.

That’s why:

Sometimes,

rest itself is part of the learning process.

10. Therefore, a truly efficient learning rhythm is not:

constant focus.

constant focus.

constant focus.

Rather:

Focus

↓

leave

↓

refocus

↓

leave again

such a cycle.

11. for example, studying a very difficult problem

An inefficient method:

Three hours of tackling the same problem.

Finally:

Mentally exhausted.

Confidence collapses.

A more reasonable approach:

Study carefully for 20–40 minutes.

↓

If it gets completely stuck,

Temporary stop.

↓

Go walk.

Eat.

Take a shower.

Do other things.

↓

Come back in a few hours.

You often find:

12. so sometimes "giving up for a bit" is actually the solution to problems

Of course, not permanently abandoned.

Rather:

This is for the following:

Mathematics,

Programming,

Writing,

Design,

Scientific research,

Business analysis,

Almost entirely applicable.

13. Why is procrastination so powerful?

Many people think the problem with procrastination is:

In fact, there is a very important mechanism behind procrastination.

When you see something:

• Difficulty;
• Bored;
• Uncertain;
• May fail;

when it comes to matters,

The brain will feel uncomfortable.

For example:

Immediately feel:

Troublesome.

Pressure.

Anxiety.

So instinctively thought:

A miraculous thing happened:

As long as you turn on your phone,

The discomfort immediately decreased.

So the brain learned:

The habit of procrastination is thus reinforced.

14. Therefore, to solve procrastination, we should not always emphasize 'I must complete this'

Because:

In itself creates huge pressure.

For example:

The brain immediately calculates:

Two hours.

So many formulas.

So many problems.

Too painful.

So I want to start even less.

15. A more effective method is to shift attention from 'result' to 'process'

Don't:

Change to:

These two tasks have completely different psychological weights.

The first emphasizes:

Results.

The second emphasizes:

Process.

16. A very practical rule

When starting a difficult task,

Only promise:

For example:

25 minutes.

These 25 minutes:

Close the social media apps.

Put the phone away.

Do not check emails.

Handle only one task.

After the time is up:

Take a few minutes to rest.

Then decide whether to continue.

17. Why does this method work?

Because what the brain usually resists the most is not:

Rather:

Many times, after really starting for five minutes,

The discomfort has significantly decreased.

Therefore, the biggest obstacle is not:

Two hours of study.

Rather:

18. So the truly smart way to fight procrastination is not to train yourself to have iron will every day

Rather:

For example:

Put the book on the table the night before.

Open the page you need to study.

Put your phone in another room.

Be clear:

The easier it is to start,

the less willpower you need.

19. The true basic unit of learning is not an individual knowledge point, but a "chunk."

This is a very important concept for understanding complex skills.

When you first start learning,

much knowledge is fragmented.

For example, someone just learning to drive:

needs to think about:

• checking the rearview mirror;
• turning the steering wheel;
• controlling the accelerator;
• braking;
• watching the road;
• paying attention to the lane.

The amount of information is huge.

So it is particularly tiring.

20. But what happens after you become proficient?

You won’t think separately every time:

These actions gradually combine into one:

This is a chunk.

Multiple small steps,

after practice,

are compressed by the brain into:

21. All advanced skills essentially rely on a large number of chunks

For example, when a chess master looks at the board,

they don't see:

32 individual pieces.

They see instead:

When a programmer looks at code,

they don't look at each character one by one.

Rather:

When a doctor looks at a case,

they don't look in isolation at:

Fever, cough, abnormal indicators.

Rather:

22. Therefore, "experts react quickly" often doesn't mean their brains work faster

Rather:

Beginner handles at once:

1 unit.

An expert may handle at once:

A pattern composed of 10 units.

So the speed is completely different.

23. This also tells us how to truly learn complex knowledge

Not:

Memorizing more and more fragmented knowledge.

Rather:

For example, learning economics.

Beginner notes:

Inflation.

Interest rate.

Demand.

Money.

Employment.

Are all independent concepts.

An expert will connect them into:

So when encountering the news,

It is not calling five independent concepts.

Rather:

24. How does knowledge truly form a chunk?

Usually requires three steps.

First:

Second:

Third:

The third point is the easiest to be overlooked.

25. Why do some people remember many formulas but still can't solve problems?

Because he knew:

But I don't know:

These are actually two completely different types of knowledge.

So when actually practicing,

Cannot do it all the time:

And should gradually do:

This way, the brain has to make the judgment by itself:

This is true ability.

26. So 'doing 100 questions of the same type' has a problem

It was very helpful at the beginning.

Because it can make the operation proficient.

But when it comes to the later part,

You actually no longer judge:

Because you know:

So each problem is automatically solved using the same method.

No one will tell you during the exam:

So truly advanced practice must:

27. For example, studying mathematics

Don't:

Monday:

20 Type A questions.

Tuesday:

20 Type B questions.

Wednesday:

20 C-type questions.

Finally, you can start mixing:

A、C、B、B、A、C……

This way, every time I see the question,

The first step is not:

Rather:

This judgment itself,

The key ability to solve problems.

28. This way of thinking can be applied to many fields

Learning English:

Do not always learn separately:

Past tense.

Progressive tense.

Perfect tense.

Eventually you must:

Judge in real language contexts.

Learning programming:

Do not always do:

Eventually face:

Learning investment:

Do not memorize separately:

PE (Price to Earnings).

ROE (Return on Equity).

Cash flow.

Debt ratio.

Finally, you should learn:

This is moving from knowledge points to judgment.

29. Another core principle of learning: long-term memory requires spacing

Many people use before exams:

Very effective in the short term.

The next day, I could indeed remember a lot.

But:

A large number disappeared after one month.

Why?

Because the brain has no reason to think:

30. What is truly suitable for long-term mastery is spaced learning

For example, a concept:

Study today.

Tomorrow's memories.

Recall it three days later.

One week later.

Two weeks later.

One month later.

It's never learning from scratch every time.

Rather:

This continuous:

Almost forgot

↓

Pull it back again

the process,

It will gradually stabilize memory.

31. This means a very important principle

Six hours:

Complete it in one go.

and:

One hour every day, for six days.

The effect may be completely different.

For long-term knowledge,

Usually, the latter has more advantages.

32. So the biggest problem with cramming at the last minute is not that you 'can't learn'

Actually, a temporary assault:

It's completely possible to do very well on the exam.

The problem is:

If the goal is just:

There is an exam tomorrow.

A blitz might be effective.

If the goal is:

It can still be used five years later.

You must change your learning strategy.

33. Sleep is actually a part of learning

Many people sacrifice sleep when studying:

It looks like I gained three hours.

But the problem is:

Learning is not like a computer copying files to a hard drive.

The brain needs after learning:

Organize.

Strengthen.

Reconnect.

Sleep is very important in this process.

34. So if a person stays up late to study, it is very likely that they will experience:

Evening feelings:

The second day:

Decreased attention.

Memory decline.

Decline in comprehension ability.

The efficiency of the next round of learning will decrease.

So:

Superficially increase study time,

In fact, it lowers overall efficiency.

35. This indicates that sleeping should be understood as:

Not:

Time wasted after studying.

Rather:

When study materials are further processed.

36. Exercise is also more important than most learners imagine

Learning is not an activity that involves only the 'brain'.

The physical condition will directly affect:

Attention.

Emotion.

Energy.

Cognitive performance.

If a person:

Is inactive for a long time.

Lacks sleep.

Is mentally fatigued.

Even the best learning techniques are hard to apply.

Therefore, a learning system should at least include:

They are not enemies of learning.

Rather:

37. Don’t be afraid of making mistakes

Many people are very afraid in the classroom of:

So:

Not answering.

Not doing difficult problems.

Only doing what they are confident in.

It seems to protect self-esteem.

In reality, it seriously slows down learning.

Because mistakes are a very important signal:

38. Truly good practice should often let you make a few mistakes

If a question:

You get 100% correct every time.

Then its value for improving ability has already started to decline.

A good learning zone should be:

For example:

About 70%–85% can be handled correctly.

The remaining part:

Exposes weaknesses.

That's where growth happens.

39. So the real value of wrong questions is not “to copy them into a wrong question notebook”

but to answer the question:

They can be roughly divided into:

Not knowing the knowledge

Needs to be relearned.

Knowing but can't recall

Needs to strengthen retrieval.

Misreading the question

Needs to improve attention.

Choosing the wrong method

Needs to strengthen problem-type judgment.

Mistakes in steps

It is necessary to train the program proficiency.

Concept confusion

A reconstruction of understanding is needed.

If it's just:

Copy the correct answer once.

The value is actually very low.

40. Truly smart people often have one ability: to discover what they really do not understand

This is metacognition.

That is:

People with poor learning ability often:

Don't know that one doesn't know.

People with strong learning abilities can say:

Or:

Or:

This accurate diagnosis is very important.

Because:

41. Explaining something to others is an excellent way to test your level of understanding.

If you think you understand a concept,

Try:

No need for technical terms,

explain it to someone who has no understanding at all.

If during the explanation you keep saying:

Many times it indicates:

You understand it less deeply than you think.

42. After truly understanding something, you can usually explain it in increasingly simpler ways

Not because the content is actually simple,

But because you have grasped the structure.

For example:

Someone who doesn’t know finance sees a balance sheet:

Dozens of items.

Someone knowledgeable might first see:

First you have the skeleton.

Then you add in the details.

43. Therefore, when learning complex content, a very good method is continuous compression

First time:

A chapter of a book.

Compress it into:

Five pages of notes.

Press again:

One page.

Press again:

Ten sentences.

Finally:

A core logic.

This compression is not for cheating on exams.

But it is forcing the brain to answer:

44. But don't just study the 'simple explanation'

Because complex knowledge ultimately still requires precision.

The best way to learn is:

First understand:

Enter again:

Then go back to:

Going back and forth like this.

45. When learning new things, don't try to understand all the details at the beginning.

For example, reading a very difficult professional book.

Many people start from the first page:

Every sentence must be understood.

The first term I don't understand:

Check for 20 minutes.

Then the second one.

Two hours passed:

Only read three pages.

Finally exhausted.

46. A better strategy might be to quickly understand the map first

Look at first:

The table of contents.

Chapter structure.

Charts and diagrams.

Key concepts.

Conclusion.

First know:

Then go in to see the trees.

Because when humans understand new knowledge,

An existing framework is very important.

Without a framework,

Every detail is isolated information.

With a framework,

New knowledge has a place to fit.

47. Therefore, it is best to learn by "coarse first, then fine"

First pass:

Know roughly.

Second pass:

Understand the structure.

Solve the details.

Fourth time:

Practical use.

Many people the first time they encounter something demand:

This creates a lot of unnecessary frustration.

48. Especially true for difficult subjects like math, science, and programming.

The first time you encounter a concept:

Completely normal.

Second time:

Seems to understand a little.

Third time:

Start to know how to do it.

Fifth time:

Suddenly you find:

This is not because:

Magic happened the fifth time.

Rather:

The first four times are establishing neural structures.

49. Therefore, during learning, you need to allow yourself to “not understand temporarily.”

This is a very important psychological ability.

Many people automatically interpret:

The correct explanation should be:

"'Cannot' is a state."

It is not necessarily an identity.

50. Don't label yourself too early

For example:

The problem with this kind of statement is:

It shows a temporary performance,

Become a permanent status.

Then influence behavior.

For example:

Because I think I am bad at math.

Do fewer exercises.

Because I do fewer exercises.

Even less.

So:

The label proved itself.

51. A better way to express it would be

Not:

Rather:

Not:

Rather:

handle:

Identity issue

Change to:

Skill issue.

Skills can be trained.

52. But Effort Alone Is Not Enough

Here we must avoid another extreme:

No.

What is truly effective is:

Correct direction × Effective methods × Enough practice × Time.

If the method is wrong,

Repetitively making mistakes with great effort,

Only knows how to:

Therefore, good learning must continuously occur:

53. What is high-quality feedback?

For example, learning English pronunciation.

Read 1,000 hours by yourself.

If no one points out the mistake all the time,

Incorrect pronunciation can become very stable.

If someone could tell you in time:

Only then can you correct it.

So:

Teacher.

Answer.

Exams.

Software feedback.

Peer evaluation.

Real use.

All have important value.

54. The difference between experts and ordinary people is also that: they practice their weaknesses

Ordinary people naturally like to:

Because it is comfortable.

Experts usually deliberately look for:

Then practice there.

For example, piano:

Not playing from start to finish 20 times.

Rather:

Find the two measures that are most prone to mistakes,

Practice them repeatedly.

Until they are stable.

Then put them back into the complete piece.

55. Learning should be like this too

Don't:

First ask:

Then focus on attacking them.

Because what really limits overall level,

usually is not:

The 80% you already know.

Rather:

But the 20% of weak points.

56. Learning time should be spent more on the 'edge of difficulty'

Too easy:

No growth.

Too difficult:

Completely incomprehensible.

The truly most effective area is:

You need to work hard.

Occasionally fail.

But with thinking and feedback, you can complete it.

This is where ability expands.

57. Memory and understanding are not enemies

A common misconception often appears in modern education discussions:

That's right,

Mechanical memorization is not enough.

But:

Without any foundational memory,

It is also difficult to carry out advanced understanding.

For example, every time you calculate:

7 × 8

Everything has to be re-derived.

Then when doing complex mathematics,

Working memory can be filled up by basic operations.

58. True advanced skills require partial automation of basic knowledge

For example:

Experts in foreign languages do not think about grammar rules every time they speak.

An excellent programmer doesn't rethink from scratch every time:

How to write a for loop.

The doctor will not re-examine every time:

All basic anatomical knowledge.

These basic knowledge already:

Thus, limited attention can be directed towards:

A higher-level issue.

59. Therefore, learning should do two things at the same time

Part of the content:

A part of high-frequency basics:

The combination of the two,

Only then can true professional competence be developed.

60. Working memory is very limited

When we solve problems,

the amount of information the brain can process at the same time is actually not much.

So if a complex problem contains:

dozens of unrelated elements,

it is very easy:

This is also why chunking is so important.

61. An example in a foreign language

A beginner listening to a sentence:

might process it word by word:

I.

would.

have.

done.

if.

……

the amount of information is huge.

A skilled person directly recognizes:

The whole structure becomes a chunk.

Therefore, it sounds very easy.

62. The real learning process is about continually reducing the brain’s “computational cost”

At the beginning:

Think through every step.

Later:

Some steps are automatic.

Later on:

The entire mode is automatic.

So attention can be further processed:

More advanced questions.

This is what is called:

63. Don't do too many things at the same time

Multitask learning almost always harms depth.

Side:

Read books.

Side:

WeChat.

Side:

YouTube.

Side:

Email.

Studying for two hours on the surface.

In fact, the brain constantly:

Switch.

There is a cost to switching every time.

Therefore, when truly studying difficult knowledge:

64. The best way is not to keep telling yourself 'don't look at your phone'

Rather:

When studying:

Turn off notifications.

Full screen.

Prepare water.

Prepare materials.

Reduce everything that requires extra decision-making.

Environmental design is often more stable than willpower.

65. Also learn to "do the hardest thing first."

At the start of the day,

energy is usually at its best.

Yet many people first:

Reply to emails.

Organize things.

Check the news.

Do simple tasks.

A few hours later:

energy declines.

Only then they prepare to:

Study truly difficult content.

Of course, efficiency is very low.

66. So if something is very important for your long-term growth,

consider:

Even if it's only:

60 minutes.

The long-term accumulation is very frightening.

One hour a day.

One year:

365 hours.

Three years:

More than 1000 hours.

Many abilities are built up in this way.

67. But don't understand learning as 'the longer you sit, the better you are.'

What really matters is:

A person:

Sit at the desk for 8 hours.

Among them:

Scrolling on the phone for 3 hours.

Daydreaming for 2 hours.

Study for a real 3 hours.

Another person:

Focus truly for 90 minutes every day.

In the long term,

The second method is completely likely to be more effective.

68. It is best for a learning system to have a very clear beginning and end

For example:

Start:

Open the question.

Put the phone away.

Time for 25 minutes.

End:

Write down:

What did I learn today?

What didn’t I understand?

Where should I start next time?

This way, I don’t have to think about it again the next day:

Reduce the cost of restarting.

69. A truly good learning system should make it easy for your "future self" to continue.

For example, if you only learned half of it today.

Before leaving, write:

The next day, sit down:

Start directly.

This is much more efficient than every time:

Much more efficient.

70. Connections between knowledge are more important than the amount of knowledge itself.

Suppose both people remember 100 knowledge points.

A:

100 are independent of each other.

B:

One hundred form a network.

Who is stronger?

It's usually B.

Because when facing a new problem,

B can:

Call upon knowledge from multiple directions.

71. So for each new concept you learn, you can ask three questions

What is it similar to?

What is it opposite to?

What real phenomena can it explain?

In this way, knowledge is no longer isolated.

72. For example, learning about 'compound interest'

Don't just memorize formulas.

Can also connect:

Investment.

Debt.

Population growth.

Virus transmission.

Skill accumulation.

Habit.

Knowledge growth.

You will gradually form:

This higher-level concept.

In the future, when encountering new problems,

It's even easier to migrate.

73. The truly high-level learning ability ultimately manifests as 'transfer'

What is migration?

The school has learned a concept.

A completely different problem appears in reality.

You can suddenly realize:

This truly shows that the knowledge belongs to you.

74. For example, having studied 'opportunity cost'

If you only know how to:

Explain the definition of the exam.

Limited value.

If buying a house in reality,

You would think:

When choosing a job:

Spend two hours scrolling through videos:

So:

Knowledge has already come from exam questions,

Become a thinking tool.

75. This is the true endpoint of learning

Not:

Rather:

After truly learning probability,

you see risks differently.

After truly learning economics,

you see prices differently.

After truly learning psychology,

you see behaviors differently.

After truly learning statistics,

you see the numbers in the news differently.

Knowledge begins to become:

76. From this perspective, learning ability is actually a 'model-building ability'

Every field truly mastered

forms a model in the brain.

For example, business:

Who are the customers?

Why do they buy?

What are the costs?

What is the competition?

Where does profit come from?

The more mature the model,

when facing a new company,

Able to make judgments more quickly.

77. Therefore, when reading, do not pursue 'how many books you have read'

What really matters is:

Read 100 books in a year.

Forget everything.

Not necessarily compared to:

Study 10 books carefully.

Truly change the way of judging,

More valuable.

78. Truly efficient learners distinguish between three things

Information

I know this thing exists.

knowledge

I understand it.

Ability

I can use it.

What modern society lacks the least is:

Information.

What is truly scarce is:

79. Therefore, the final cycle of learning should be:

Input

↓

Understand

↓

Memory

↓

Practice

↓

Make mistakes

↓

Feedback

↓

Correction

↓

Spacing

↓

Re-use

↓

Form chunks

↓

Transfer to new problems

This is real complete learning.

80. If all of this is turned into a real learning method

Suppose you are ready to learn a new field.

For example:

Artificial Intelligence.

You can start like this.

Stage 1: Build a map

Don't dive into details immediately.

First understand:

What AI is.

What machine learning is.

What deep learning is.

What LLM is.

What the main uses are.

What parts the whole field has.

Goal:

Not:

Become an expert.

Stage 2: Learn the Core Concepts

Don't do too much at once.

For example:

Model.

Training.

Data.

Inference.

Parameters.

Embedding.

Understand one by one.

Stage 3: Active Recall

Do not just reread the next day.

Ask yourself first:

If you can't explain it,

go back and look again.

Stage 4: Practice

Use tools.

Write prompts.

Call APIs.

Do small projects.

Observe results.

Turn knowledge from:

Become:

Stage 5: Mixed Problems

Don't just:

Follow standard cases in the tutorial.

Start solving:

Real tasks.

For example:

Analyze data.

Automatically organize documents.

Build small tools.

Real problems will force you to:

Stage 6: Spaced Review

One day.

Three days.

One week.

Two weeks.

One month.

Continuously extract.

Stage 7: Explain to Others

If you can explain without using terminology,

Explain:

Your understanding has reached a deeper level.

Stage 8: Build Your Own Knowledge Framework

In the end, do not leave behind:

200 pages of notes.

Instead, you should form:

81. The same applies if you are learning mathematics

Don't:

Watch the teacher solve ten problems.

You should:

Look at one example problem.

↓

Cover the answer.

↓

Try to do it yourself.

↓

Do a few similar problems.

↓

Do it again the next day.

↓

Mix in other types.

↓

Explain why this is done.

↓

Record the reason for errors when you encounter difficulties.

This is how true mathematical ability is gradually formed.

82. If you are learning a foreign language

Do not just:

Memorize vocabulary.

You should:

Memorize

*

Listen

*

Speak

*

Write

*

Recall actively

*

Real use.

For example, if you learn:

"negotiate".

Do not just memorize:

Try to make a sentence.

Listen to it.

Say it.

Put it into a real situation.

Actively recall after a few days.

A single word is therefore connected to dozens of pieces of information.

More unforgettable.

83. If it is learning work skills

For example, Excel.

Least efficient:

Watch ten hours of tutorials.

More effective:

Learn a function.

↓

Immediately solve a real problem.

↓

Next time forget, then recall.

↓

Continuously encountering new demands.

↓

Functions gradually form a toolbox.

Real skills are almost all:

84. One of the most important psychological changes during the learning process is to reinterpret 'difficulty'.

Ordinary person's explanation:

A more mature explanation:

Of course:

It's not that the more painful, the better.

But moderate difficulty often means:

85. You can think of learning as exercising

If the weight has no pressure at all:

Will not build muscle.

If the weight is so heavy that it cannot be lifted at all:

It is also meaningless.

Best weight:

Learning is the same.

86. There is also a very dangerous mentality: being jealous of 'people who learn quickly'

Seeing others:

Understand it in one try.

Self:

It takes three times to understand.

So:

But what really matters is not:

The speed of understanding for the first time.

Rather:

A lot of knowledge needs to be revisited repeatedly.

Slower does not mean:

Ultimately, the mastery was poor.

87. Sometimes, even people who learn a bit more slowly will develop a more solid structure

Because he must:

Break down the problem.

Looking for an explanation.

Practice repeatedly.

Establish contact.

And people who understand quickly are sometimes prone to:

In the end, who holds deeper mastery,

You can't just look at the speed of the first learning.

88. So in learning, do not pursue a sense of 'being smart'

Do not pursue:

What is truly worth pursuing is:

From:

"Understand"

Become:

"Can do."

From:

"Can do"

Become:

"Skilled."

From:

skilled

Become:

"Able to transfer."

This is a completely different level.

89. A high-quality 90-minute daily study template

It can be like this:

First 5 minutes

Do not look at materials.

Active recall:

What did I learn yesterday?

Next 25 minutes

Study a new concept.

Take a 5-minute break

Leave the desk.

Next 25 minutes

Do exercises or practice without looking at answers.

Take a 5-minute break

Next 20 minutes

Handle:

Mistakes.

Difficult points.

Mixed practice.

Last 10 minutes

Write:

What did I really learn today?

What do I still not know?

Where should I start next time?

90 minutes can already be very effective.

90. If time is very limited, even 30 minutes a day is possible

5 minutes:

Review old knowledge.

15 minutes:

Study or practice.

5 minutes:

Take a test without prompts.

5 minutes:

Record mistakes.

The most important thing is not:

Studying for ten hours in a single day.

Rather:

91. The real power of long-term learning lies in compounding

Learning a little every day:

The change is barely noticeable on the first day.

A month later:

The change is still small.

One year:

Changes become obvious.

Three years:

One might become a person at a completely different level.

Because knowledge is not simply additive.

New knowledge connects with old knowledge.

The more knowledge you have:

The faster you learn related new knowledge.

So:

Learning ability itself also compounds.

92. This gives rise to a very important phenomenon

The beginner stage is the hardest.

Because:

There is no framework.

No vocabulary.

No chunks.

No experience.

Everything is new.

After persisting to a certain extent:

New things begin to automatically link to old knowledge.

So:

So in many fields, the most important thing is:

93. This is also why if a person keeps changing fields, it’s easy to remain forever in the hardest stage.

Today:

English.

One month later:

Programming.

Two months later:

Investment.

Three months later:

Photography.

Each is in the:

So one constantly feels:

But in reality, what might be missing is only:

94. Exploration and depth must be balanced.

Of course, you can try many fields.

But once you find a field:

that is valuable.

that you are interested in.

that has practical use.

you should:

Otherwise, all knowledge will always be:

fragmented.

95. Truly mature learners will eventually build their own learning systems

Instead of asking every day:

Rather:

Fixed time.

Fixed place.

Fixed starting actions.

Fixed review mechanism.

Fixed feedback method.

When motivation is low:

it can still operate.

This is called:

96. Because learning really cannot rely on passion

At the beginning:

Freshness.

High motivation.

One or two months later:

Difficulties begin.

The novelty disappears.

At this time, if there is no system,

many learning plans will come to an end.

So:

97. Finally, high-quality learning can be summarized into twelve principles

1. Don’t consider understanding as mastery

True mastery means being able to generate answers independently.

2. Extract more from memory

Rather than always rereading.

3. Allow learning to be a little difficult

Moderate effort is usually a good thing.

4. Switch between focus and relaxation

Don’t try to solve all problems by grinding.

5. Overcome procrastination through process

Only require yourself to focus for a short period first.

6. Build knowledge chunks

Let scattered steps gradually form a holistic pattern.

7. Mixed practice

Learn not only how to do it, but also when to use which method.

8. Use spacing

Don't compress all your studying into one day.

9. Sleep and exercise belong to the learning system

The body is not a transportation tool for the brain, but a part of the cognitive system.

10. Actively look for mistakes

Mistakes are tools for identifying weak points.

11. Learn to explain and transfer

True understanding means being able to express it in a different way and apply it to new problems.

12. Long-term persistence is more important than short-term bursts

The truly powerful learning effect comes from the compounding of time.

98. If You Remember Only Five Ideas

Even if you forget everything else a few years from now,

these five ideas are worth keeping:

First

Be sure to cover the answers and do it yourself.

Second

Third

Rest is sometimes a part of thinking.

Fourth

Start by doing it for 25 minutes.

Fifth

Conclusion: What Does It Really Mean to Know How to Learn?

Many people think of learning ability as:

A quick memory.

High exam scores.

Fast reactions.

Rapid comprehension.

These certainly help.

But widen the time horizon to

five years,

or ten, and

what determines how far someone can go

is often a different set of abilities:

When something does not make sense,

you do not immediately conclude that you are incapable.

Knowing how to break down problems.

Knowing how to practice.

Knowing how to test yourself.

Knowing how to learn from mistakes.

Knowing when to concentrate.

Knowing when to step away for a while.

Knowing how to review.

Knowing how to connect fragments into a structure.

Finally,

turning:

into:

Then, through repeated cycles of:

Understanding,

Practice,

Mistakes,

Rest,

Recall,

Correction,

it eventually becomes:

So the essence of learning ability is not

It is this:

Once you have this ability,

Mathematics is just a field.

A foreign language is just a field.

Programming is just a field.

The same goes for finance, science, writing, history, and job skills.

Because what you have truly learned

is no longer just one body of knowledge.

It is a set of