Learning how to become a parent takes time. It's a skill you learn as you go along.
学会为人父母需要时间，这是一种在实践中学习的技能。
Keep learning. Learn more about the computer, crafts, gardening, whatever.
一直学习，多了解些关于电脑，手艺，园艺或其他任何东西。
Learning never stops. Life is our school, and there are things to learn everywhere we go.
学无止境，生活就是我们的学校，走到哪里都有我们可以学习的事物。
Learning experts don't suggest that studying Chinese or Japanese will help dyslexics learn to read English;
教育专家并不建议通过学习中文或日文的方式来帮助读写困难者学习英语;
Education is about learning, and the more you learn, the more you prepare for your life.
教育就是学习，你学的知识越多，你对于生活的准备就越充分。
When you feel sad pain, it is best to learn something. Learning will make you invincible.
当你觉得悲痛痛苦时，最好是去学些什么东西。学习会使你永远立于不败之地。
Learning how to learn is life's most important skill.
学会如何学习是生活中最重要的技能。
One of his famous sayings, "He who learns but does not think is lost; he who thinks but does not learn is in danger," tells us the importance of learning and thinking.
他有一句名言，“学而不思则罔，思而不学则殆”。这句话告诉我们学习和思考的重要性。
Call it the "learning paradox": the more you struggle and even fail while you're trying to learn new information, the better you're likely to recall and apply that information later.
这就是所谓的“学习悖论”：在你尝试学习新知识的过程中，你越是痛苦挣扎甚至失败，你就越有可能在以后更好地回忆和应用这些知识。
On the other hand, the more we learn about learning, the more willing we may be to challenge the idea that homework has to be part of schooling.
与此同时，我们对学习了解越多，我们可能越倾向于挑战“家庭作业是学校教育的必然组成部分”这一观点。
Children learn to be happy by learning how to think.
小孩子要想学会做一个快乐的人就是要学会怎么思考。
People will make mistakes as they learn because making mistakes is learning!
人们会犯一些错误，如同学习一样，因为犯错就是一种学习！
We are also starting to learn more about the psychology of learning from mistakes.
关于从错误中学习的心理学我们也开始了解的越来越多。
How can we help young people to learn — and older people to keep learning?
我们应如何帮助年轻人学习，帮助年长的人继续学习？
But if you have a humble eagerness to learn something from everybody, your learning opportunities will be unlimited.
但如果你能持有一种谦虚，热诚的态度向每一个人学习，你将面临无限的学习机会。
You don’t have to be in school to learn new things. Commit to learning something new everyday.
你不必进入学校去学习新的知识 试着每天学习一点新的东西.
Aside from learning about unconditional love, they also learn responsibility and respect.
除了从中学习无条件的爱，他们还能够学习责任感和尊重。
We learn from our actions, and we act from our learning.
我们从实践中学习，在学习中实践。
The answer is simple: When people know which intelligences they possess, they can begin to better understand how they learn, and which methods of learning suit them best.
答案很简单：当人们知道自己拥有何种智能，他们便可以开始更好地了解自己要怎么学，以及哪种学习方法最适合自己。
This part of the series gives guidelines on important things to learn and useful links to good learning material (books, blogs and games).
系列文章的这一部分提供了一些关于需要学习的内容的指南，以及一些不错的学习资料（如书籍、博客和游戏等）的链接。
It is supposed to be a community of learners. A place where people can learn for the sake of learning. A place where people can work on the things that humans do.
大学应该是学者的共同体，是人们以学习为唯一目的的学习场所，是人们研究人类社会的场所。
The principle is that in the process of learning how to do one thing really well, we learn how to learn.
其原则在于，在这个过程中学习怎样真正做好一件事，我们要学的是怎样去学习。
Some people believe that learning more about other countries often helps you to learn about your own beliefs and traditions.
一些人相信向其他国家学习将使他们了解自己的信念和传统。
This series of articles has been very detailed, but I hope my example, the BBCDT, has provided an incentive to learn the tool and sufficient motivation to continue learning.
这一系列文章都很详细，但我希望BBCDT的例子能够激励您学习这个工具，并有足够的动力继续学习。
It is frustrating when we understand that we need to learn to have fun (we are used to learning important things like math or spirituality, but not fun!)
让人郁闷的是我们得学习去享受欢乐(我们对学习重要的事物比如数学或者灵性都很熟悉，但是从没学过欢乐！)
The literal meaning of moral learning is to learn the morality.
道德学习，从字面上理解就是对“道德”的学习。
Since language and culture are closely related, it's impossible to learn a language without learning its culture.
由于语言和文化是密切联系的，我们不可能不学习文化就能学习一门语言。
The fundamental limitation of machine learning is that it needs to learn from large volumes of past data.
机器学习的基本限制在于，需要从大量过去的数据中学习。
The fundamental limitation of machine learning is that it needs to learn from large volumes of past data.
机器学习的基本限制在于，需要从大量过去的数据中学习。
应用推荐