I'm going to talk about the unforgivable design mistakes of .

Graphic do not correspond

The picture corresponds to a sentence, not a word.

• 
  When you learn some new words, you may see some picture and a sentence contain a bold word, and a picture matches the meaning of a sentence, not a bold word. This causes the learner can't learn the word, but some other words we already known in the sentence.
• 
  Obviously, two terrible design mistakes have caused learners can't remember words very well.
  First，looking back at the words, but as chalk and cheese out of the picture.
  Second，a word has multiple wrong options, which leads to the meaning of remembering the error.

Wrong input and output

Input a word, output a picture, not the meaning.

• 
  If you want to learn English well, your learning method must be consistent with the working principle of the brain. We only need two principles to learn English.
  First, the premise of learning is to define direct input and output.

There are four English skills, so you need to decide which one you want to enhance. Then, we learn it from a lot of different examples to reshape the connections in your brain. Each example is a pair of the input and the corresponding output. Only two principles we are doing it all wrong.

For listening skill, a common mistake is to read the subtitles. When you read the subtitles while listening to English, you are going to learn a different kind of knowledge whose input is the combination of voices and subtitles which cannot be used when the subtitles are missing. This mistake is caused by the wrong input.
Another one caused by the output is only listen to a paragraph, but do not know the meaning of it, which means you don't even have the corresponding output. No matter how hard you practice, you'll learn nothing.

Second, the essence of learning is to compress information with knowledge.

The worst thing in English learning is the insertion of intermediate output of Chinese thinking. Not only the output is wrong, but also very slow.

It is also a common mistake to memorize knowledge without examples. Because the input of the language is not a word, but a sentence. To grasp the true meaning of a word in a sentence, you need to understand a large number of different examples, but most of the time students just remember the Chinese description of the word.

Students have always regarded English as an information memory rather than as knowledge learning. Because of the wrong input and output, what we learned is completely different knowledge. Therefore, words do not rely on memory, but on learning, we should compress the information with knowledge.

But the information is not coming for no reason, it needs to be provided. Resetting1-bitinformation entropy requires consumingkT ln 2 Jenergy. This is what Schrödinger proposed in 1943：

Life feeds on negative entropy.

I don't want to make it too complex, here is an approximately example written by pseudocode.

function learnEnglish(listening: String, speaking: String, reading: String, writing: String): Ability {
    return {
        while (true) listening.trim().toUpperCase().toCharArray().toString().toKnowledge()
        //others is similar, too much code ...
    }.toAbility()
}
fun main(args: Array<String>): Unit {
    readLine()!!.split(" ").map { it.toAssembly() }.append().Knowledge(learnEnglish()).let(::Ability())
}

The question most people are interested in would be how to learn English from scratch. When working out in the gym, we will have several stages, and we also have different stages for learning English, because some type of knowledge like grammar is built on the top of phrases.

• 
  Starting tabula rasa, we need to follow the principles of learning. The first learning method that emerged in agent life history is genetic algorithm that called evolution. But you may not know that human beings have a strong learning ability called forgetting. It enables people to blur and abstract one or more concepts to achieve learning.

English has four abilities, and it is obviously necessary to construct four kinds of knowledge of listening, speaking, reading and writing for one word. No input to knowledge is one situation.

For listening, every time you hear the same word, the sound will be slightly different, and it even have different accents, lengths and tones. If you rely on memory, you can't finish it when you run out of life. This is why the computer didn't recognize the voice at first. The evolution of forgetting is a very important mechanism for learning. It prevents people from remembering individual situations like a computer and increasing universality.

For centuries, computer scientists have hoped that computers can learn like human brains, but instead we let ourselves remember like computers. Constantly remembering words, the forgetting mechanism constantly prevents us from remembering words. We've been using our brains incorrectly.
Supervised learning and reinforcement learning in machine learning theory are good illustrations of these problems in human learning, such as AlphaZero.

AlphaZero

• 
  Life cannot rely on memorizing information to counter the information entropy. Learning English is the same. We really shouldn't remember words, but learn them in use. It's not that we remember words to use words, but to use words to learn words.
  For more detailed information, you can refer to this article.