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人教考向29 阅读理解之时事热点(解析版)-备战2022年高考英语.docx


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人教考向29 阅读理解之时事热点(解析版)-备战2022年高考英语.docx
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考向29 阅读理解之时事热点
近年来,高考英语阅读理解题常有时事新闻报道类的文章,其内容与人们的生活息息相关,如战争、环境、人口、能源等。
【基础要素】
1. 新闻六要素:时间、地点、人物、事件的起因、经过、结果。
2. 新闻的结构:标题、导语、主体、背景、结语。标题、导语、主体是消息必不可少的,背景和结语有时则蕴涵在主体里面,有时省略。
【语篇特征】
1.第一段简要概述新闻或时事的内容提要,接着再详述具体内容;
2.新闻或消息类文章在开头通常用大写字体标明其出处或来源,并用破折号或冒号引出内容提要。
【测试角度】
1.测试文章的主旨大意或段落大意;
2.测试考生对于某个具体信息的理解与把握,即细节理解;
3.测试所读材料的来源或出处;
4.测试考生利用所给信息进行推理的能力。
【解题方法】
1.速读短文,特别是开头的几句,抓住五个W,即:事件发生的时间(when)、地点(where)、人物(who)、原因(why)、过程和结果(how),把握新闻的主要内容;
2.细读所给的试题,初选相应的答案;
3.细读短文,并确定相应的答案。
4.信息的增加或减少是阅读理解题中设计干扰项的常见手法,因此,在确定答案时,应特别注意识别。
【典例示例】(2021年6月,浙江卷阅读理解C篇)
If you ever get the impression that your dog can "tell" whether you look content or annoyed, you may be onto something. Dogs may indeed be able to distinguish between happy and angry human faces, according to a new study
Researchers trained a group of 11 dogs to distinguish between images(图像)of the same person making either a happy or an angry face. During the training stage, each dog was shown only the upper half or the lower half of the person's face. The researchers then tested the dogs' ability to distinguish between human facial expressions by showing them the other half of the person's face on
images totally different from the ones used in training. The researchers found that the dogs were able to pick the angry or happy face by touching a picture of it with their noses more often than one would expect by random chance.
The study showed the animals had figured out how to apply what they learned about human faces during training to new faces in the testing stage. "We can rule out that the doge simply distinguish between the pictures based on a simple cue, such as the sight of teeth," said study author Corsin Muller. "Instead, our results suggest that the successful dogs realized that a smiling mouth means the same thing as smiling eyes, and the same rule applies to an angry mouth having the same meaning as angry eyes.”
"With our study, we think we can now confidently conclude that at least some
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