Express in your own words ", which is more crucial and wonderful than "express in simple words". Because only when we use our own language to explain what we have learned, can we really mobilize our original knowledge, weave loose information into a tight system and network, and even create new cognition. In other words, to rephrase in one's own language is to mobilise one's own army. Unfortunately, many writers do not pay attention to this point, so that they stay at the level of "knowledge statement" for a long time, unable to reach the level of "knowledge transformation". For example, after reading a book, some people will list the framework and views of the book and think that they have completed the writing output. This is far from enough, at most, it is to move other people's knowledge to a place. You just have more "military horses", but you can not mobilize them, which is useless. Good writing requires reinterpreting what you've learned in your own words. It's hard, and it's not going to be good at first, but it's going to take you down the road to deep learning and make great progress. Let's review the way Mr. Wang Yunwu taught himself English mentioned above. It can be seen that the method of expressing or reinterpreting in one's own language is deep learning, which is also a powerful tool for deep writing.

The question is sure to be raised: What's the point of doing this when so many ideas have been written so long ago that you can't surpass them by writing them again? Scalers, author of Deliberate Learning, once answered this question. Express in your own words ", which is more crucial and wonderful than "express in simple words". Because only when we use our own language to explain what we have learned, can we really mobilize our original knowledge, weave loose information into a tight system and network, and even create new cognition. In other words, to rephrase in one's own language is to mobilise one's own army. Unfortunately, many writers do not pay attention to this point, so that they stay at the level of "knowledge statement" for a long time, unable to reach the level of "knowledge transformation". For example, after reading a book, some people will list the framework and views of the book and think that they have completed the writing output. This is far from enough, at most, it is to move other people's knowledge to a place. You just have more "military horses", but you can not mobilize them, which is useless. Good writing requires reinterpreting what you've learned in your own words. It's hard, and it's not going to be good at first, but it's going to take you down the road to deep learning and make great progress. Let's review the way Mr. Wang Yunwu taught himself English mentioned above. It can be seen that the method of expressing or reinterpreting in one's own language is deep learning, which is also a powerful tool for deep writing. The question is sure to be raised: What's the point of doing this when so many ideas have been written so long ago that you can't surpass them by writing them again? Scalers, author of Deliberate Learning, once answered this question. Because of this, we should all eventually become professors. This is not to gain the status of lecturer, but to learn better, because "teaching" is the best "learning". Teaching forces us to say something clearly in our own language, in the simplest terms, so that even laypeople can understand it, and the advantage of writing is that it allows us to tweak and revise as we hone this skill to our own satisfaction.