How does this deep learning method improve learning efficiency by more than 10 times?

Now that we are in an era of information overload, today I would like to share with you a good article about deep learning. After reading this article and putting it into practice, you will not be overwhelmed by the information tsunami. People’s in-depth learning ability is becoming increasingly scarce. Mr. Wang Yunwu, Hu Shi’s English teacher and a self-taught publisher during the Republic of China, taught himself English writing when he was young: “Find a masterpiece by a famous English writer and read it several times. Then, translate it into Chinese, wait a week, and then translate it back into English based on the Chinese. During this period, never consult the original English text. After the translation, compare it with the original text to find out the errors and imperfections in your translation. Place.\” Through repeated practice, Mr. Wang Yunwu developed a solid foundation in English and laid a solid foundation for his future English teaching and publishing career. In that era when technology and information were far less developed than today, limited learning conditions forced people to calm down and turn to this kind of deep learning. Fast forward a hundred years and our society has undergone tremendous changes. Humanity has entered an era of unprecedented material and information abundance. Novel, interesting, concise and condensed knowledge can be found everywhere. People are no longer worried about the lack of knowledge to learn, but the endless knowledge. Today, there are probably very few people who can take the initiative to calm down and study in depth like Mr. Wang Yunwu. Many people even believe that learning in today\’s era does not have to be so \”arduous\”. There are so many ways for people to gain knowledge easily. For example, listening to a book every day, attending an online class by a talented person, subscribing to a famous column or joining a certain study group… It is easy, efficient, and full of useful information. As long as you persevere, you will definitely achieve something. Unfortunately, this perception is destined to be an illusion. Because although technology and information have undergone tremendous changes in our generation, human learning functions have not changed rapidly along with it. Our brain operation mode is almost exactly the same as it was a hundred years ago. The worse news is that while \”rich information and diverse methods\” bring convenience, they also deeply deplete people\’s ability to \”deeply learn\”, and this tendency is becoming more and more obvious. Luo Zhenyu once mentioned this fact in his 2017 New Year\’s Eve speech: \”What is the difference between paying with banknotes and paying with WeChat and Alipay?\” On the surface, it is faster and more convenient; in fact, paying with banknotes is a rational decision; using a mobile phone Paying is impulse consumption. Shopping is increasingly not a rational decision-making behavior. Users spend money instinctively and pursue pleasure. There are various indications that fast, simple and easy methods have further strengthened people\’s low-level \”primitive brain\” functions, while further weakening high-level \”modern brain\” functions. And deep learning capabilities almost entirely rely on high-level \”modern brains.\” Merchants have clearly seen this, so they are trying every means to launch a variety of products for reading, reading, and listening to reading, so that people can instantly experience the pleasure of easily acquiring knowledge and create a sense of diligence. But the reality is: the more people learn, the more anxious and impetuous they become. They understand many principles, but they still cannot live well now, let alone for the rest of their lives. I vaguely see that the world is developing towards two poles: a small group of intellectual elites are still facing the nuclear crisis.When faced with difficulties, they work hard to delve deeply and produce content; the vast majority of information audiences enjoy light learning and content consumption. Just as the social class is gradually solidifying, the intellectual class is also gradually solidifying. If you are stuck in wrong cognition for a long time or are accustomed to light learning, once you lose your deep learning ability, it will be difficult to break through the limitations of the intellectual class and you will always be trapped in the lower level of cognition. Deep learning capabilities have become increasingly scarce. A complete set of literacy game courseware + mind maps + videos commonly used in kindergartens. If we really want to occupy a place in the trend of the times, we should abandon the illusion of easy learning as soon as possible, hone our deep learning abilities, go against the current, and become scarce. Otherwise, it will be the best in life. The road is bound to get narrower. What is deep learning? In 1946, American scholar Edgar Dale proposed the theory of the \”Cone of Learning\”. Later, the National Training Laboratory in Maine also conducted the same experiment and released the \”Cone of Learning\” \”Report. According to the report, human learning is divided into two levels: \”passive learning\” and \”active learning\”. Passive learning: such as listening to lectures, reading, auditioning, and demonstrating, the average retention rate of learning content is 5%, 10%, 20%, and 30%. Active learning: through discussion, practice, and teaching to others, the content retention rate of the original passive learning can be increased from 5% to 50%, 75%, and 90%. This model nicely demonstrates the contrast between different learning depths and levels. Looking back at our own learning, we can also clearly divide different levels. Take reading as an example. From the easiest to the most advanced, they are: listen to books, read by yourself, read by yourself + excerpt golden sentences, read by yourself + mind map/reading notes, read by yourself + practice, practice, read by yourself + practice, practice + output. The teaching is convenient, novel and concentrated. The learning of dry goods seems easy and efficient, but in fact it is at the shallowest level of passive learning. A better situation is to read the original book yourself, but after reading it, there is no review or little refining and summary, and you are only satisfied with the input process. The knowledge retention rate of this type of learning is very low. I don’t see you, can’t you remember what you read after a few days? What\’s worse is that this kind of effort will lead to the blind pursuit of reading speed and quantity, giving people a sense of diligence. In fact, this is a low-level diligence. The more you invest, the greater your losses. Beginner readers will inevitably step into these two pitfalls, and there are also many people who are learning at a shallow level. Such people can read by themselves and take reading notes or mind maps, but unfortunately, the content of the reading notes is often a sorted list of the contents of the book, which looks more like an outline. Many people are obsessed with this, as if they have a thorough knowledge of the whole book, but they don\’t know that they are just \”Nongfu Spring\” – \”We do not produce knowledge, we are just porters of knowledge!\” Although this approach is proactive to a certain extent Learning, but it is just a simple \”knowledge statement\”, which is very different from high-level \”knowledge conversion\”. On a deeper level, it is amazing to be able to practice the principles in the book after reading, even if one or two points change your life, because from this point onStarting from this moment, knowledge has been transformed. From knowing to doing it is a huge progress, but knowing or doing it yourself is one thing, letting others know or doing it is another. If you don’t believe me, try to tell others clearly what you know. You will find that it is not easy. You think clearly in your heart, but when you speak, you start to speak incoherently. What if you are asked to write down what you know? You may not be able to write at all. Note that this difficulty is where true deep learning begins! Because this requires using all the existing knowledge to explain new knowledge. When you can explain the newly learned knowledge clearly, it means that you have incorporated it into your own knowledge system, and at the same time reached the level of teaching others, and may create generate new knowledge. Luo Zhenyu once mentioned in 60 Seconds Voice that he learned like this: I ask myself to write five reading experiences every day, no need to make long articles, just a few words. Because real learning is like sewing buttons, sewing new knowledge into the original knowledge structure. Writing five pieces of reading experience every day is to force your original knowledge structure to respond to new knowledge, and then solidify this reaction in words, and the stitching process is completed. \”Sewing\” is the key to deep learning, but most people only complete \”acquiring knowledge\” but ignore the step of \”sewing knowledge\”. The learning process is incomplete. In addition, some people have a certain degree of suturing, but the suturing is not deep enough and there is no high-quality output, which also greatly reduces the depth of learning. Shallow learning satisfies input, while deep learning focuses on output. From ideas to language to words, that is, network thinking turns into tree-like structures and then into linear words, which is equivalent to changing thoughts from gaseous state to liquid state and then to solid state – those solid things truly belong to you. After all, any knowledge will inevitably be lost, and this loss will always exist. If you don\’t find a way to solidify what you have learned, it will disappear over time, leaving not many traces. Once you have something of your own, you must \”teach\” it. \”Teaching\” and \”stitching\” will form a reinforcement and cycle of each other. Liu Weipeng, the author of \”Dark Time\” said: AlphaGo Alpha Go Documentary Download 1080P Ultra HD 2.2G \”Teaching\” is the best \”learning\”. If you cannot explain something clearly, nine times out of ten you have not fully understood it. Of course, the highest level of \”teaching\” is to use the most concise words so that a layman can understand what you are talking about. It can be seen that forcing yourself to \”acquire high-quality knowledge\” + \”deeply stitch new knowledge\” and then use your own language or words to teach others is the way to deep learning. This is the highest level of deep learning that I am currently aware of. There may be more advanced ones, but for most people, being able to do this and do it well is enough. How to do deep learning? As mentioned above, deep learning has three elements: acquiring high-quality knowledge; deeply stitching new knowledge; and outputting results for teaching. This kind of learning will inevitably give up the sense of security of \”learning quickly\” and \”learning more\”. At the same time, it will consume more time, face more difficult situations, and even \”suffer\”. But please believe it: the right action is often to go against straightI feel that things that are comfortable and easy at the beginning often don’t get good results, but things that are uncomfortable and difficult at the beginning can really bring about gains. So, we need to improve step by step. 1. Obtain and read first-hand knowledge as much as possible. From the perspective of reading, it means reading classics, original works, and even academic papers. The classic first-hand knowledge has been accumulated over time, and its depth of value has been proven, making it worthy of intensive reading. ‍‍‍‍‍‍Concentrate your energy on first-hand knowledge that meets your own needs, and give up those dry illusions of \”reading in a few minutes…\”, \”one book a day…\” and \”ten lessons…\”, although those can also bring some enlightenment. , but after all, it is fragmented and chewed up. ‍‍‍‍‍‍Although it is more difficult to read it in person, only by experiencing it can you feel the real pleasure of deep understanding or cognition, which is many times more enjoyable than absorbing second-hand knowledge. It is best not to hire someone to do it for you. In the long run, you have to acquire the ability to mine yourself, so that you can go further. 2. Write down what you have learned in your own words as much as possible. Every time you read a valuable book, use writing to reconstruct the author\’s thoughts in your own language. Try your best to explain and extend based on your own experience, knowledge, and perspective, rather than simply listing the main points of the book. Simple \”knowledge statement\” cannot achieve the effect of deep stitching. Only by achieving \”knowledge conversion\” can the old knowledge system be used to stitch new knowledge in depth. So when refactoring, just take the most necessary viewpoints, and other irrelevant viewpoints can be abandoned, even if they are very reasonable. Good writing with real depth often has little to do with the original book. It’s just that the original book triggered thinking and cited cases. In the end, reading notes are often a brand-new article and even create new knowledge. This process is asymptotic. Although what you say at first seems to be other people\’s opinions, your own opinions will gradually emerge. Although it will be a bit difficult at first, as long as you continue to practice, you will have more and more relevant experiences, viewpoints, and cases, and your thinking on a topic will become more and more in-depth. So there is no need to be fast or to have more. If necessary, take as long as you need to hone in on a topic or idea. When a work that is close to your current best level impresses others, the impact and harvest will be far greater than writing every day but lacking in-depth thinking. I encourage everyone to write because once you can write clearly, you will be able to speak clearly. Moreover, the article has a compound interest effect and can be read by others at any time, which indirectly achieves the purpose of discussion, communication and teaching others. 3. Reflect on life. Learning is more than just reading, life experience can also be learned deeply. Things that happen every day in life pass through us like water and will not stay. If we are not careful, it is difficult to leave traces. Just like the shallowest passive learning, the retention rate is very low. A life lacking reflection is difficult to produce depth. Cheng Jia, the author of \”Study Well\”, attaches great importance to reflection. He spends about two hours every morning reviewing and reflecting, and requires his employees to do the same. He spent a lot of money in the book explaining the methods and benefits of reflection. He said: \”The gap between people does not come from age, or even from experience, but from the ability to summarize, reflect and sublimate experience. \”Affected by this concept, I have continued to reflect and summarize every day since February last year, sometimes a few sentences, sometimes thousands of words. Through reflection, I found that many things that I had not thought about clearly became clear during reflection, and many things that were vague The concept became clear during reflection, and many seemingly unrelated things actually found underlying connections… Continuous reflection has made me more and more aware of the details of life, and the things that life has left for me There are more and more. Perhaps many elements of the idea and conception of this article also come from daily reflection. If I were to recommend an indispensable habit, I would recommend reflection. How to stimulate students\’ interest and motivation in learning, complete video download Benefits of Deep Learning Deep learning, in addition to allowing us to give up impetuosity and hone our rationality, can also bring many benefits, such as cross-border capabilities. Classical said in the book \”What\’s Possible in Your Life\” that human abilities are divided into It is \”knowledge, skills and talents\”. Three levels: 1. Knowledge is the least transferable. Even if you get a doctorate in medicine, you still won\’t be able to make Mapo Tofu; 2. Skills usually consist of 70% general skills and 30% % of professional skills are more transferable; 3. At the talent level, the boundaries between professions are completely broken. This explains why those talented people can easily cross boundaries between different fields. Because they You have reached the level of talent in a certain field through deep learning, and these talents are also applicable to other fields, so you only need to spend a small amount of time to familiarize yourself with the knowledge and skills to be able to play well. But conversely, if you have never been in a field before Once you have reached the level of talent, when you switch to other industries, you can only start again from the bottom level of knowledge and skills, which is very difficult. There is no doubt that deep learning can help people cross boundaries, and it can also help people generate inspiration. We all know that Einstein was on his way to work in the Patent Office. When he saw the Bernier Clock Tower, a hypothesis suddenly popped up in his mind: \”If the bus moves at the speed of light, then the hands of the clock tower will be different when viewed from the bus. Will it be stationary? \”This hypothesis brought the greatest discovery of the 20th century, the special theory of relativity, into people\’s horizons. Another German chemist, Kekule, had a daydream when he was very tired, dreaming of a dog biting its head and tail. snake, which became a clue to his discovery of the molecular structure of benzene. People marvel at the intuition and inspiration of scientists, but assuming that Einstein was a barber and Kekule was a plumber, they would not They will obtain these intuitions and inspirations. Because only when they explore their fields deeply enough, inspiration may appear with the help of the subconscious mind. These principles have been confirmed in modern brain science research. Although we are not scientists, But deep learning can still give people a greater probability of receiving unexpected surprises. At the same time, deep learning can allow us to look down from a high place, see more connections between general things, generate insights, and the more we accumulate, the faster our reaction speed will be. The faster. For example, when I deeply interpret \”Beyond Feelings\”After knowing that the core of correct thinking is to keep one\’s subjective cognition as consistent as possible with the objective world, I suddenly had a new understanding of the eight words \”emancipate the mind and seek truth from facts.\” It turns out that our party has always done this. Looking at the development of the motherland in recent years, such a big fact proves that this truth is extremely correct and important. But I would have never seen this connection before. Not only that, if you have accumulated enough cognitive depth in some fields, you can still mobilize your advanced cognition and focus on things such as film and television programs, entertainment gossip, and news hot spots that \”corrode\” people\’s attention. They are associated with useful reflections and produce insights that are deeper and more unique than the rest. For example, I took my daughter to watch the movie \”Journey to the West: The Kingdom of Daughters\”. In the movie, the king of the Kingdom of Daughters and Tang Monk experienced life and death and said to him: \”I had a dream. Many years later, you have long hair and you will slow down with me.\” You are getting old slowly, but you are not happy!\” I immediately realized that this is the \”future perspective\”. The king looked down at the present from the future perspective, and then made a rational decision to restrain his emotions and let Monk Tang go west. Because I happened to have written an article about the future perspective \”What will save your actions?\” 》In the past, I must have been indifferent to this. But in my daughter’s eyes, all she can see is that the king is so beautiful and the monkey is so funny… As far as I know, many serious adults also like entertainment, such as Li Xiaolai likes to watch movies, and Shi Beichen likes to watch variety shows… I dare say that when they are in entertainment, their \”modern brain\” is still in charge, constantly related to cognition, rather than simply satisfying the direct needs of the \”primitive brain\” . To extend it further, popular entertainment is not without value, and superficial knowledge is also meaningful. But the premise is: you need to have sufficient cognitive depth first – the breadth below the depth is effective. Focus on deep learning while remaining open to shallow learning. Having said so much about deep learning, how should those products such as columns, premium courses, and audiobooks be treated? Outright rejection or distance? I don’t think it is necessary, because deep learning and shallow learning do not conflict, and shallow learning also has its value. The important thing is not to create an inverse weight relationship. We can use it as an entrance to learn new information, but we cannot rely on it to pin all the growth process. A more reasonable attitude is: focus on deep learning while remaining open to shallow learning. Choose some worthy people to follow and stay connected with them through these platforms. What should I do if my children don’t take the initiative to learn? How to make children fall in love with learning. Efficient accompanying reading class completed mp3. Some of the valuable information they release will lead us to a wider world, but no matter what, in the end, we have to read, think and do it by ourselves. Just like this article, if it touches you, it just opens up a new perspective for you. In the end, whether you can acquire deep learning capabilities can only depend on your own actions, and no one can replace it.