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如何區分argument essay和narrative essay

時間:2020-03-15 22:01來源:www.814269.buzz 作者:allensjl 點擊:
本文詳細論述了對于留學生essay中的兩大文體議論文(argument essay)和敘事類散文(narrative essay)的區別劃分

大家留學在外,對于essay可謂是又愛又恨,愛的是essay基本寫了不偏題,有自己的內容充實文本,合理的引用都能拿到不錯的分數,恨的就是選題,選旨時,繁重的翻閱以及查閱資料。這里主要講的是對于文章文體的把握,什么是argument essay,什么是narrative essay,這兩者又有什么區別?碰到這類又應該如何去應對呢?


 essay


 Argument essay,辯論文,議論文,相信大家并不陌生,不止是中國的初高中需要寫,美國大學大一大二的英語課一樣是寫argument essay。當然,格式會有很大的不同,但是文章的類型是一樣的,當然內容也是萬變不離其宗,論點,論據,以及各種佐證來證明自己的論點或者觀點的正確性。在美國大學的英語課中,教授一般會放出不同的論點讓你選擇一個,用一整個學期來完成一篇符合要求的議論文,當然其中每個禮拜會需要對不同的論點論據章節做出大量的研究以及查閱資料。比如,我的大一第一學習的論點就是:美國本土印第安人對于美國發展、經濟水平和文化產生了如何巨大的影響。圍繞這一個論點,我需要大量的資料來求證印第安人的起源,文化水平,以及現留存的印第安族群的生活習慣和特性。每一步都得按照詳細的步驟來一步步的完成,首先第一步,引出自己的論點,譬如,我就用現如今的印第安人朋友的生活來引出大家對于印第安人的思考,其次再對他的習慣與資料中的做出對比,表示現如今會對美國文化產生什么樣積極的影響。再者,印第安人族群地的經濟狀況和美國全國的經濟水平做出對比,引出第二個論點。同樣地,引出第三個論點,以及自己對于其他學者的引用。最后對所有的論點進行一個總結,必須精簡而又不偏離主題,為自己的議論文畫上一個完美的句號。

 argument essay


相對而言,narrative essay 就是敘事類散文,主要以敘事,描繪周邊景色,以及人物的文章,大都講究一個隨意性,文體主要特色就是沒有一個固定的中心思想,描寫與感悟相輔相成,渾然一體,敘事散文又分為五類,一類叫寫人狀貌類敘事散文,一類叫敘述情節類敘事散文,一類叫闡發道理類敘事散文,一種是詠物類敘事散文,一種是心理歷程類敘事散文。寫人狀貌類敘事散文主要目的是塑造人物形象,與現代小說類似。敘述情節類敘事散文重在情節的細節,與記敘文不同,不講究情節一波三折,但重視結構。闡發道理類敘事散文借敘事來說明某個道理,但敘事依然是主要目的。詠物類敘事散文專寫一種物品與自己發生的故事,或自況某物,來歌頌美好人性,達到敘事目的。心理歷程類敘事散文顧名思義主要寫自己的心路歷程,多描寫多個事情,時間跨度大,感情不一,但服務于同一主旨,多寫自己感情的變化,來達到敘事目的。
 argument essay


議論文范文如下:
Statistics is a substantial social science, both of the objective laws of social life, has examined the statistical method statistical basis of inheritance and development of the theory of statistical results, adhere to the statistical nature of the social sciences, so close to statistical theory actual statistical work, and social development in the country has been widely used so-called statistical thinking, that is, the actual work in statistics, statistical theory, applied research, we must follow the basic philosophy and guiding principle.
First, the statistics of several common statistical ideas in statistical ideas include: mean thought, thinking of variation, estimated ideas, related ideas, thought fit to test ideas. Statistical thinking is not a natural formation, to go through statistical concepts, statistical sense , statistical concepts phases Statistical thinking is based on changes in human society needs to carry out various statistical practice, research and general statistical theory, in order to gradually form a system of statistical thinking as an applied statistics, it is to learn from the new school of mathematical statistics nutrition, and more widely used mathematical methods, more and more closely linked, but the idea reflected in the statistics on the school, compared with the general, as well as their own special its basic characteristics: (1) statistical thinking emphasis on methodological and application of the uniform; (2) statistical thinking emphasizes the unity of science and art; (3) statistical thinking emphasizes the unity of objectivity and subjectivity; (4) statistical analysis of the ideological emphasis on qualitative and quantitative analysis of the uniform.
1 means thinking. Mean the study is to be concise and important representatives mean the concept of almost all statistical theory, the basic idea is statistical. Mean thinking also requires the whole problem, but asked to observe the general development tendency to avoid the interference of the individual by chance, it also reflects the overall concept.
2 variation ideas Statistical Research similar general characteristics of the phenomenon, its premise are that the overall characteristics of each unit there is a difference of statistical methods is to understand the difference in the number of things. Statistics reflect the variation of the more basic concept is the variance, is that "variation" and "average" the concept of average and variation are the same things on the abstract features and macroscopic measurements.
3 estimated ideology is estimated to speculate that the overall sample, is the same type of things getting from here to understand method using estimation methods have a default: the same sample with the overall nature of the sample can be representative of the population but representative sample of Sex accidental factors, the theory of confidence in estimating the degree of measurement is a necessary step to maintain rigorous logic.
4 related ideas. Things are generally linked to the change, some things go hand in hand were often changed or attendant circumstances were present overall in turn, composed of many individual firms, these individual things are interrelated, and we studied things overall homogeneity is based on the formation and thus, between individuals in general, the overall total and the other is always between interrelated.
5. Fitting idea. Fit is the relationship between different types of things in the abstract representation. Any single relationship must rely on other relationships exist, all real things, relationships were very complex, this approach is the law or trend fitting. The results of fitting the model, reflecting the general trend is the trend expression "changes things and relations as reflected in the number of process models and based on this indicate the possibility."
6 test ideas. Statistical methods always inductive, the conclusion is always with a certain degree of probability, based on local characteristics and laws of the promotion cannot be completely out to determine the credibility, the inspection process is to use actual data to test samples Some characteristics of the overall number of prior assumptions are credible.
1 To change the current existence of some incorrect thinking. British biologist, statistician Galton once said: "Statistics has the extraordinary ability to deal with complex issues, when scientific explorers in the process of advancing set in the way of thorns, the only statistics that can help them open a channel.”But that is not so simple, because the reality we face the problem may be much more complex than imagined. In addition, some people think that way more complex, more Science in the actual analysis of the study, like a simple problem complicated, it seems that in order to show its scientific content. In fact, the real science is to simplify complex issues rather than the pursuit of complexity. Associated with this is that some people statistical inference is that only science, describes the statistics is not science, and extend the expansion to only mathematical statistics is a scientific, social and economic statistics is not science this understanding. This understanding is extremely wrong, at least for the ignorance of the socio-economic statistics in Belgium Kittler only to study probability theory mathematician, and focus on the statistics used in human things, trying to create a statistical improvement of society as a tool of economics and demographics in some modern concepts such as GNP, population growth rate, etc., are the legacy of Kettler and his disciples.
2 To continue to develop statistical thinking. Statistics based on inductive reasoning or the logic of inductive thinking as the main way we all know, there are two main methods of logical reasoning: inductive reasoning and deductive reasoning inductive reasoning is based on the observed data (especially incomplete or poor quality information) to generate new knowledge or to validate a hypothesis, namely to the available data based on general characteristics of induction to arrive at a conclusion. Inductive reasoning is based on information in the data chance to discover through necessity. Deductive reasoning is the ability to deepen understanding of statistics, especially in the necessity to study and understanding based on chance, the great role.



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