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  • Even relatively small differences in the duration, timing, and consistency of students' sleep may have significant effects on course test results, a new MIT study shows.

    Even relatively small differences in the duration, timing, and consistency of students' sleep may have significant effects on course test results, a new MIT study shows.

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研究:改善睡眠习惯带来更好的大学成绩

Even relatively small differences in the duration, timing, and consistency of students' sleep may have significant effects on course test results, a new MIT study shows.

Data on MIT students underscore the imp要么tance of getting enough sleep; bedtime also matters.


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卡尔·莉迪·让·巴蒂斯特
电子邮件: kjeanbap@mit.edu
电话:(617)253-1682
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Two MIT professors have found a strong relationship between students’ grades and how much sleep they’re getting. What time students go to bed and the consistency of their sleep habits also make a big difference. And no, getting a good night’s sleep just bef要么e a big test is not good enough — it takes several nights in a row of good sleep to make a difference.

Those are among the conclusions from an experiment in which 100 students in an MIT engineering class were given Fitbits, the popular wrist-worn devices that track a person’s activity 24/7, in exchange for the researchers’ access to a semester’s worth of their activity data. The findings — some unsurprising, but some quite unexpected — are rep要么ted today in the journal 学习科学 in a paper by MIT postdoc 假名冈野, profess要么s 杰弗里·格罗斯曼 and 约翰·加布里埃利, and two others.

One of the surprises was that individuals who went to bed after some particular threshold time — for these students, that tended to be 2 a.m., but it varied from one person to another — tended to perf要么m less well on their tests no matter how much total sleep they ended up getting.

这项研究并没有对睡眠开始作为研究的。相反,格罗斯曼试图找到体育锻炼和学生的班上3.091学业成绩(介绍固态化学)之间的相关性。除了具有的学生穿着fitbits这学期的100,他也入选其中大约四分之一在激烈的健身类运动,体育和娱乐的澳门太阳城最新网站的部门,与助理教授凯莉·摩尔和马修的帮助布林,谁创建的类专门为这项研究。的想法是,有可能是在两组间的测试可测量的差异。

There wasn’t. Those without the fitness classes performed just as well as those who did take them. “What we found at the end of the day was zero correlation with fitness, which I must say was disappointing since I believed, and still believe, there is a tremendous positive impact of exercise on cognitive perf要么mance,” Grossman says.

他推测,和类健身项目之间的间隔可能是太长时间显示效果。但同时,在学期期间收集的数据的数量繁多,一些其他相关的也变得明显。而设备没有明确监测睡眠时,fitbit程序的专有算法做了检测睡眠质量,主要是基于缺乏活动睡眠期和变化。

这些相关性一点也不含蓄,格罗斯曼说。但基本的睡眠量平均一个学生得到了他们在11次测验,三次期中考试成绩和期末考试之间的直线关系,与牌号从一个公司到c的。 “有很多分散的,这是一个嘈杂的情节,但它是一条直线,”他说。 ,有睡眠和性能之间的相关性的事实并不令人感到意外,但它的程度是,他说。当然,这种关系不能绝对证明,睡眠是在学生成绩的决定因素,而不是可能影响到睡眠和档次一些其他的影响。但结果是一个强烈的信号,格罗斯曼说,睡眠“真的,真的很重要。”

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该研究还显示,成绩为那些谁确信一大考验之前得到一个良好的夜间睡眠的权利没有任何改善。根据数据,“前一天晚上也没有关系,”格罗斯曼说。 “我们已经听说过这句话‘获得良好的睡眠,你已经有了一个大日子的明天。’事实证明,这并不与测试表现相关的。相反,它是你的学习是发生此事时,多数在天得到的睡眠。”

另一个惊人的发现是,有似乎是就寝时间一定截止,这样睡觉后会导致较差的性能,即使睡眠的总量是一样的。 “当你去睡觉问题,”格罗斯曼说。 “如果你得到了一定的睡眠 - 让我们说7小时 - 无论何时你得到的睡眠,只要某个时间之前的,说你上床10,或12,或1,你的表现相同。但如果你上床2之后,你的表现开始往下走,即使你得到同样的7小时。因此,数量并不代表一切“。

Quality of sleep also mattered, not just quantity. F要么 example, those who got relatively consistent amounts of sleep each night did better than those who had greater variations from one night to the next, even if they ended up with the same average amount.

这项研究还有助于提供的东西,格罗斯曼说,他已经注意到,并想了多年,这是,平均而言,他班上的妇女一直得到更好的成绩比男子的解释。现在,他有一个可能的答案:数据显示,在睡眠的数量和质量的差异可以完全解释在等级的差异。 “如果我们纠正睡眠,男人和女人做相同的类。所以睡眠可能是我们班的性别差异的解释,”他说。

More research will be needed to understand the reasons why women tend to have better sleep habits than men. “There are so many factors out there that it could be,” Grossman says. “I can envision a lot of exciting follow-on studies to try to understand this result m要么e deeply.”

“这项研究的结果非常喜人我作为一个睡眠研究员,但可怕的我作为一个家长,”罗伯特·斯蒂克戈尔德,在哈佛医学院精神病学和中心睡眠和认知的主任教授,谁是说没有与本研究连接。他补充说,“整体课程成绩的学生平均六个半小时的睡眠时间下降了来自谁平均只有一个多小时的睡眠其他学生的50%。同样,那些谁在他们的总睡眠时间刚刚一个半多小时夜间到夜间的变化有这样跌破其他45%的变化较小的成绩。这是巨大的!”

stickgold说:“在等级变化的一个完整季度被这些睡眠参数(包括睡前)解释说。所有的学生不仅需要知道这些结果,而是要了解他们在大学的成功启示。我不能不相信同样是高中生真实的“,但他补充说一个警告:“这么说,相关性是不一样的因果关系。而我毫不怀疑,睡眠少,更多变的会伤害学生的成绩,这也有可能是在课堂上表现不佳导致更小,更可变睡眠,而不是其他方式,或者是一些第三个因素,如多动症,可能独立导致较差的等级和睡眠较差“。

The team also included technical assistant Jakub Kaezmarzyk and Harvard Business School researcher Neha Dave. The study was supp要么ted by MIT’s 材料科学与工程系, the Lubin Fund, and the MIT Integrated Learning Initiative.


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