浙江省考行测言语理解正确率好低?如何应对?
2025年浙江公务员考试预计11月启动,在浙江省考中言语理解永远是一个绕不开的坎,其中浙江省考中言语理解题每年都有30道,占到了总题量的25%左右。到底是什么让言语理解成为同学们的老大难问题,大家又该怎么办呢?浙江公务员考试网带大家一起分析一下,言语理解为什么正确率低,怎么才能拿到分?相信能给考生带来一定的帮助,
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)
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原因一:做题理念有问题
很多同学面对言语题解题时,总是在想“如果让我来写这篇文章,我会用哪个词”“我读完文章之后,我的感受是什么”。这样的理念当然是不对的。言语理解题实际上考察的是同学们能否通过对上下文的分析,准确理解文章中作者想表达的内容,对于逻辑填空来说就是作者用了什么词,对于片段阅读来说就是作者想要表达什么样的观点。如果总是用自己的想法去做题,那自然是没有办法去选到正确答案的。针对这种情况,送大家一句话“我不要你觉得,我要作者觉得”,秉持着这样的一种理念,自然能够锁定正确答案。
原因二:做题没全面分析
有些同学做言语题解题时总是想找捷径,不愿意对文段进行全面的分析,总是抱着第一句就是重要的或最后一句就是主旨的想法去做题。这样自然就会落入了命题人在设下的陷阱,选择了那些似是而非的选项。因此,我们在做题的时候,一定要能够对全文进行分析,准确地把握文段结构,从而去理解作者想表达的主要思想到底是什么,这样才能够准确选对答案。
原因三:语言素养不到位
还有些同学分析自己做题慢、读不懂题干或者不认识词语,这主要是因为平时的语言素养积累还不到位,没有阅读的习惯,缺少阅读的训练,常见词语的积累也不够。因此,在日常生活中同学们就要多读一些人民日报,光明网之类媒体的文章,培养良好的语感。要知道,新的国考大纲中已经强调了国考尤其要考察以重要思想指导分析和解决问题的能力,具体表现在行测试卷中就是言语理解中会大量考察官方媒体一些文章。如果同学们平时能够多去阅读,在考场里自然无往不利。
其实,要想真正读懂文段,我们要采取正确的步骤去分析。具体而言,第一步:把握句意,明确每个句子的话题、功能;第二步:分析句间关系;第三步:确定文段重点,同义转述。我们接下来用一道题目来具体说明。
【解析】A。
第一步:第一句话,作者从三个方面给我们阐述了中小学音乐教育的问题。第一个就是音乐课程没有受到足够的重视,第二个问题就是教材内容不能与时俱进,第三个问题就是一些音乐教师只注重技能培养,而忽略了音乐教育的主旨首先应当是树德立志。第二句话,作者针对上述的第三个问题提出了解决对策,就是教师应该理解音乐作品中的道德思想,然后以多样化的形式对学生的身心进行正面教育。第三句话是在告诉我们,教师采取了以上的对策之后的积极意义,最终会让孩子们真正热爱音乐,在他们心灵中种下真善美的健康种子。
第二步:那整体来看,第一句话提出问题,第二句话针对问题提出解决对策,第三句话论述对策的积极意义与好处,依然是在论证第二句话。
第三步:所以我们这个文段的重点就在于第二句话:在教授学生一部音乐作品之前,教师首先应该理解其中所表现的道德思想,然后以多样化的形式对学生的身心进行正面教育。A项:音乐教育应注重作品的道德教化,正是文段第二句话的同义转述句,所以这道题选择的就是A项。
这样分析出来的文段是不是很清晰?感觉确实是读懂了,并且大家按照这样的思路分析下去,阅读能力也会逐步提高的。将阅读思路和方法内化于心,外化于形,自然也就形成了大家所谓的“语感”望广大考生能认真投入,进行大量题目训练,从而拿下这一类题型。
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