掌握SAT阅读考试的节奏、根据问题进行深度阅读

小站整理2014-07-22 10:39:50

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摘要：很多考生都会问：在做SAT阅读考试时有什么技巧吗？因为他们对SAT的做题节奏会感到困惑。本文罗列了一些正确的SAT阅读顺序给广大考生，其中包括了先看问题再读文章，在看完所有问题后有针对性的通读文章；还可以对总结性、结论性、观点性及重要性的句子重点关注，因为这是作者给我们提供的“信号”，如果在阅读一遍后还无法确定文章中心的话，我们可以再依据问题再第二次有针对性的深入阅读。

很多考生对SAT阅读考试做题节奏感到困惑，那么在做SAT阅读考试时有什么技巧吗？本文给广大考生介绍一下正确的SAT阅读顺序，希望能帮助到大家。

1.先看问题再读文章，在浏览完所有问题后，再有重点有目的的诵读文章；

2.对总结性、结论性、观点性及重要性的句子要特别注意，做出标识，在这类句子当中常常存在考题的答案。大家通过大量的SAT阅读试题可以总结出这些SAT阅读技巧或者SAT阅读方法；

3.在文章开始就寻找作者的主要观点，然后对比文章最后一段的句子所表达的中心思想；

4.考生在速度后如果还无法确定文章中心的话，可以再依据问题，第二次进行有针对性的深入阅读。

试着用这种方法阅读如下文章：

Machine learning is a scientific discipline that is concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data,such as from sensor data or databases.A learner can take advantage of examples(data)to capture characteristics of interest of their unknown underlying probability distribution.Data can be seen as examples that illustrate relations between observed variables.A major focus of machine learning research is to automatically learn to recognize complex patterns and make intelligent decisions based on data;the difficulty lies in the fact that the set of all possible behaviors given all possible inputs is too large to be covered by the set of observed examples(training data).Hence the learner must generalize from the given examples,so as to be able to produce a useful output in new cases.Artificial intelligence is a closely related field,as are probability theory and statistics,data mining,pattern recognition,adaptive control,computational neuroscience and theoretical computer science.

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