(来源：芝士英语)
Laptops (笔记本电脑) and other devices mean you don't have to write your notes by hand anymore. Defaulting to tech-based note-taking might not be the best way, though, with science showing the old-school approach of pen and paper might have bigger benefits.
笔记本电脑和其他设备的存在意味着你不再需要用手记笔记。但是默认以科技替代人工做笔记可能并不是最好的方式，有科学证明在纸上做笔记的传统做法可能更有益。
Pam Mueller of Princeton University and Daniel Oppenheimer of the University of California, Los Angeles, performed a series of studies examining how students recalled information when using traditional or tech-based note-taking. They found that for fact-based questions, students who wrote notes with traditional tools did just as well as those who pounded them out on a keyboard. They performed better than the tech-based note-takers, however, on questions that were more conceptually-based.
普林斯顿大学的帕姆·缪勒和洛杉矶加利福尼亚大学的丹尼尔·奥本海姆进行一系列研究，测试学生们在使用传统方式或科技方式做笔记时回忆信息的情况。他们发现，对基于事实的问题，使用传统工具记笔记的学生们和使用键盘“码字”记录的学生们表现情况一致。但是使用传统方法的学生对概念性问题的反应明显优于另一组学生。
Based on the results of their studies, Mueller and Oppenheimer concluded that traditional note-taking is advantageous because you can't write as fast in longhand (普通手写) as you can with a device. Consequently, you have to be pickier about what you write down. The processing your brain does to determine what's significant aids memory.
基于研究结果，缪勒和奥本海姆认为传统的笔记方式更有优势，因为用手记笔记时，无法做到和用设备作记录一样迅捷。如此一来，你不得不对所写内容加以挑选。在这个过程中，你的大脑会考虑什么样的内容是需要记忆的。
用纸笔做笔记Taking notes by hand doesn't mean you completely ignore specifics. Even so, it forces you to prioritize and remember broader principles over facts that might not matter a month, year or decade later. That ability to see the big picture can leave you more adaptable. Because you're not locked into absorbing ideas in a word-for-word way, you might be able to communicate them differently, according to your audience, or think about them more critically for higher innovation.
记笔记并不意味着完全无视细节。即使如此，这样的做法也会迫使你优先考虑并记住那些更宽泛且不常变化的规则。这种纵观全局的能力会提升你的适应能力。因为你吸收知识的时候，不会纠结于字眼，面对观众时，你可能会换种方法阐述，这样，你的想法或将更天马行空。
Perhaps it's just another reminder that, even in the age of Big Data, more isn't always better.
也许这也是一个警醒：即便在大数据时代，多不一定就意味着好。
