|
|
2017年9月21日大陆考区雅思A类笔试真题答案回忆蹲点汇总请看最下面，欢迎英国欧洲考区、北美考区等考生积极回忆在我们微信504918228,ieltstofel3,ielts2013，QQ504918228,QQ26346059上面 互动咨询微信：504918228 或 ieltstofel3或 ielts2013或 公共微信：ieltstofel
雅思冲刺快速加分套餐系列1888元-2588元起：IPN资料+1对1辅导请进入
雅思公共微信平台1：ieltstofel----最新雅思考试题库，最新每一场预测及配套完整答案范文机经，快速提高总分1到3分，国内外最新每一场雅思口语笔试蹲点题目汇总，最新各种不同层次基础烤鸭雅思考试实用成功经验，雅思4个7，4个8高分实用复习备考经验
托福雅思公共微信平台3：tofelielts----最新托福雅思听说读写解题方法技巧和考试诀窍，最新考试信息资料
雅思成绩出炉!雅思成功之路-最新实用雅思4个8，雅思4个7高分成功经验分享http://bbs.ieltstofelglobal.com/forum-45-1.html
中国亚太，大陆地区、香港、澳门,台湾、阿联酋、迪拜、日本,韩国,泰国,以及新加坡,马来西亚、印度尼西亚等亚太地区等精准雅思A类G类真题预测机经汇总2017年9月10月11月12月至2018年1月2月3月4月雅思a类g类真题预测答案范文机经http://bbs.ieltstofelglobal.com/thread-231231-1-1.html
2017年9月21日大陆考区雅思A类笔试真题答案回忆蹲点汇总 回忆1： 听力
听力s1是二手家具买卖(填空)
s2是面试就职培训之类的活动安排(填空)
s3是学校教学的讨论(8选7+三道选择)
s4净化水设施(填空+diagram)
阅读
Passage1:成为专家的三个阶段 notice& experts
Passage2:化石和物种
Passage3:巧克力的历史演变a brief history of chocolate
写作
Task1:表格 三年里男女在不同行业中的比例情况
Task2:Some people think that governments should do more to make their citizens eat a healthy diet. Others believe that individuals must take responsibility for their own diet and health. Discuss both these views and give your own opinion.
回忆2： 听力 S1 话题： 购买二手家具 题型： Completion 1. 床的 size ： Queen 2. Wardrobe 的类型： Double 3. Wardrobe 有个 mirror inside 4. Wardrobe Size: 1.80 meters ( 超过 1 就要加 S) （还有一个衣橱， 高 1.8, 这个地方有陷阱， 说了多宽，然后说 高度不确定，男的说 check 一下， 然后没有说具体的数字， 只说之前说的高度是正确的， 之前说过 1.8m ） 5. 女的问还有没有电器， 男的说还剩 Fridge ， 只用了 2 年 6. 送货地址 Address: River View 7. West Avenue 8. 怎么去？ Via ： Main Road 9. 在什么的对面： Bus stop 10. Go around to see by Tuesday
S2 关于开设一些教育课程的，一个男的独白, 前三个句子填空，问开课的目的：
11．opportunities
12．confidence
13. some culture context,
14．unemployed
15.Written documents
16．Interested in promotion
17. 45 minutes
18.networking
19.your application form
20．self employment
S3 一个学生对课程的反馈
21-23考题缺失 24. Teacher recommends Dina to study A manufacture B product quality control C marketing 25. Suggestion from the tutor? Taking a gap year To gain working experience 26. Dr. will provide which material for her? A good contact with employers B write a reference letter 27-30 matching Tutorial system- positive experience Library – lots of information resources Class group- create disagreement Printer/it service- not necessary
S4 地下水净化装置 31. groundwater contains a large amount of salts 32. the water after processed by SW40 is so pure that it can be in hospitals 33. the drawback of the device currently is that it is quite slow 34. financially supported by Health International 35. maximum product 9 litres 36. enough for the use of a family 37. lid made of glass 38. angle (incline) 12.5 degree 39. UV light destroys germs 40.water collection tank 回忆3： 听力
S1：
1. Queen
2. Double
3. River view/ riverview
4. West Avenue
5. mirror
6. 1.8 meters
7. Tuesday
8. fridge
9. bus stop
10. Main Road
S2:
1. opportunities
2. confidence
3. contacts
4. employees
5. documents
6. promotion
7. 45
8. networking
9. application form
10. self-employment
S3:
1. B
2. G
3. A
4. E
5. C
6. F
7. D
8. B
9. B
10. A
S4:
1. salts
2. hospitals
3. slow
4. Health International
5. 9
6. family
7. glass
8. germs
9. 12.5
10. water tank 回忆4： 阅读 第一篇：新手与专家 Becoming an Expert/Expertise is commitment coupled with creativity. Specifically, it is the commitment of time, energy, and resources to a relatively narrow field of study and the creative energy necessary to generate new knowledge in that field. It takes a considerable amount of time and regular exposure to a large number of cases to become an expert. A An individual enters a field of study as a novice. The novice needs to learn the guiding principles and rules of a given task in order to perform that task. Concurrently, the novice needs to be exposed to specific cases, or instances, that test the boundaries of such heuristics. Generally, a novice will find a mentor to guide her through the process. A fairly simple example would be someone learning to play chess. The novice chess player seeks a mentor to teach her the object of the game, the number of spaces, the names of the pieces, the function of each piece, how each piece is moved, and the necessary conditions for winning or losing the game. B In time, and with much practice, the novice begins to recognize patterns of behavior within cases and. thus, becomes a journeyman. With more practice and exposure to increasingly complex cases, the journeyman finds patterns not only within cases but also between cases. More importantly, the journeyman learns that these patterns often repeat themselves over time. The journeyman still maintains regular contact with a mentor to solve specific problems and learn more complex strategies. Returning to the example of the chess player, the individual begins to learn patterns of opening moves, offensive and defensive game-playing strategies, and patterns of victory and defeat. C When a journeyman starts to make and test hypotheses about future behavior based on past experiences, she begins the next transition. Once she creatively generates knowledge, rather than simply matching superficial patterns, she becomes an expert. At this point, she is confident in her knowledge and no longer needs a mentor as a guide—she becomes responsible for her own knowledge. In the chess example, once a journeyman begins competing against experts, makes predictions based on patterns, and tests those predictions against actual behavior, she is generating new knowledge and a deeper understanding of the game. She is creating her own cases rather than relying on the cases of others. D The chess example is a rather short description of an apprenticeship model. Apprenticeship may seem like a restrictive 18th century mode of education, but it is still a standard method of training for many complex tasks. Academic doctoral programs are based on an apprenticeship model, as are fields like law, music, engineering, and medicine. Graduate students enter fields of study, find mentors, and begin the long process of becoming independent experts and generating new knowledge in their respective domains. EPsychologists and cognitive scientists agree that the time it takes to become an expert depends on the complexity of the task and the number of cases, or patterns, to which an individual is exposed. The more complex the task, the longer it takes to build expertise, or, more accurately, the longer it takes to experience and store a large number of cases or patterns. F The Power of Expertise An expert perceives meaningful patterns in her domain better than non-experts. Where a novice perceives random or disconnected data points, an expert connects regular patterns within and between cases. This ability to identify patterns is not an innate perceptual skill; rather it reflects the organization of knowledge after exposure to and experience with thousands of cases. Experts have a deeper understanding of their domains than novices do, and utilize higher-order principles to solve problems. A novice, for example, might group objects together by color or size, whereas an expert would group the same objects according to their function or utility. Experts comprehend the meaning of data and weigh variables with different criteria within their domains better than novices. Experts recognize variables that have the largest influence on a particular problem and focus their attention on those variables. G Experts have better domain-specific short-term and long-term memory than novices do. Moreover, experts perform tasks in their domains faster than novices and commit fewer errors while problem solving. Interestingly, experts go about solving problems differently than novices. Experts spend more time thinking about a problem to fully understand it at the beginning of a task than do novices, who immediately seek to find a solution. Experts use their knowledge of previous cases as context for creating mental models to solve given problems. H Better at self-monitoring than novices, experts are more aware of instances where they have committed errors or failed to understand a problem. Experts check their solutions more often than novices and recognize when they are missing information necessary for solving a problem. Experts are aware of the limits of their domain knowledge and apply their domain's heuristics to solve problems that fall outside of their experience base. I The Paradox of Expertise The strengths of expertise can also be weaknesses. Although one would expect experts to be good forecasters, they are not particularly good at making predictions about the future. Since the 1930s, researchers have been testing the ability of experts to make forecasts. The performance of experts has been tested against actuarial tables to determine if they are better at making predictions than simple statistical models. Seventy years later, with more than two hundred experiments in different domains, it is clear that the answer is no. If supplied with an equal amount of data about a particular case, an actuarial table is as good, or better, than an expert at making calls about the future. Even if an expert is given more specific case information than is available to the statistical model, the expert does not tend to outperform the actuarial table. J Theorists and researchers differ when trying to explain why experts are less accurate forecasters than statistical models. Some have argued that experts, like all humans, are inconsistent when using mental models to make predictions. A number of researchers point to human biases to explain unreliable expert predictions. During the last 30 years, researchers have categorized, experimented, and theorized about the cognitive aspects of forecasting. Despite such efforts, the literature shows little consensus regarding the causes or manifestations of human bias. Questions 1-5 Complete the flow chart Choose No More Than Three Words from the Reading Passage for each answer. Write your answers in boxes 1-5on your answer sheet. From a novice to an expert Novice: need to study 1 under the guidance of a 2 3 start to identify 4 for cases within or between study more 5 ways of doing things Expert: create new knowledge perform task independently Questions 6-10 Do the following statements agree with the information given in Reading Passage 1? In boxes 6-10 on your answer sheet, write TRUE if the statement is true FALSE if the statement is false NOT GIVEN if the information is not given in the passage 6. Novices and experts use the same system of knowledge to comprehend and classify objects. 7. The focus of novices' training is necessarily on long term memory 8. When working out the problems, novices want to solve them straight away. 9. When handling problems, experts are always more efficient than novices in their fields. 10. Expert tend to review more than novices on cases when flaws or limit on understanding took place. Questions 11-13 Complete the following summary of the paragraphs of Reading Passage, using No More Than Two Words from the Reading Passage for each answer. Write your answers in boxes 11-13 on your answer sheet. While experts outperform novices and machines in pattern recognition and problem solving, expert predictions of future behavior or events are seldom as accurate as simple actuarial tables. Why? Some have tried to explain that experts differ when using cognitive 11 to forecast. Researchers believe it is due to 12 . However attempting endeavor of finding answers did not yet produce 13 .
参考译文： 新手与专家 专业知识总是离不开创造性，具体来看，讲时间，精力和资源投入到一个相对小的领域进行研究，需要创造性在该领域获得新的知识。要成为一名专家需要大量的时间和接触大量的实战实例。 A每个人都是以菜鸟的身份进入一个新的领域。菜鸟需要学习最基本的原理以及既定任务的法则来完成该项任务。与此同时，菜鸟还需要面对具体的实例或是情况，这也能够测出启发式教育的成果。一般来说，菜鸟需要找一个导师来帮助他顺利进行这个过程。举一个最简单的例子，如果又热要学习下象棋，菜鸟就需要找一个导师告诉他象棋的目标，棋盘的棋子的总数，每一枚棋子的名字，每一枚棋子的功能，怎么移动以及最后决定输赢的必要条件。 B随着时间的投入和不断的练习，菜鸟开始能够识别实例内部行为的类型，成为一个熟练学徒，通过更多的练习和接触更为复杂的实例，使得已经成为熟练学徒的学徒不仅能识别实例内部的类型也能够看出不同实例之间的联系。更为重要的是，成熟的工人发现这些实例的类型会重复出现。成熟工人仍然需要和导师保持联系来解决一些具体的问题并且学习更加复杂的策略。回到刚才讲的学习下棋的例子，菜鸟开始慢慢学习怎样开棋，进攻以及防守这类的下棋策略，以及判断输赢的情况。 C当一个熟练学徒开始通过以往的经验来预测未来的情况是，他开始了向下一个阶段的过渡。一旦熟练学徒开始创造性地获取知识而不是简单地根据类型来将实例进行匹配的时候，他就成为了一名专家。在这个阶段，他开始自信与自己所掌握的知识，不再需要一名导师——他自己可以自由运用自己的知识。在刚才举的下棋的例子中，一旦一个熟练学徒开始和专家进行竞争，根据掌握的类型来做出预测，并且根据实际的行为来检验该预测，他就获取了新的知识，并且对象棋有了更深的理解。他开始创造出自己的下棋攻略而不是依赖于别人的经验。 D刚列举的下棋的例子只是一个简短的描述来说明学徒关系的模型。学徒关系可能看起来像严格的18世纪教育模式，但是现在仍然是许多复杂任务训练的标准方法。学术博士项目就是建立在这样的学徒模型上的，比如说法律，音乐，工程学和医学。毕业生进入研究领域，寻找导师，开始成为独立专家的漫长过程，并且在它们各自的领域产生新的知识。 E心理学家和认知学家一直认为成为专家所需的时间取决于任务的复杂程度以及实例的数量或是需要面对的实例的类型。任务越复杂，所需的时间就越多来学习专业知识，或者更准确地说，需要更长的时间来增加经验并且储存大量的实例。 专业知识的力量 F以为专家比非专家能在专业领域觉察更有意义的行为类型，而菜鸟只能随意地观察没有关联的数据，专家将实例内部和实例之间的有规律的类型联系起来。这种分辨类型的能力并不是一个先天就具备的技能，而是在接触了成百上千的实例后获得的知识的结晶。专家对于该领域比菜鸟有更深的理解，使用高位的原则来解决问题。比如说菜鸟可能会根据颜色和大小来进行分组，然而专家会更具功能或是用处来进行分组。专家理解数据的含义，通过比菜鸟更为合理的方法运用行业的标准来衡量不同的变量。专家能够认出对特定问题有最大影响的变量，并且聚焦在这些变量上。 G专家比菜鸟在长期和短期方面具备更好地专业性知识，并且专家比菜鸟在专业领域执行速度跟快，而且在问题解决地时候犯较少的错误。有趣的是，专家和菜鸟相比，解决问题的方式不同，并且会先弄清楚问题的实质才开始解决问题，而菜鸟一开始就想直接找到解决方案。专家运用他从过往经验作为背景获取的知识来建立一个头脑中的模型来解决特定问题。 H专家和菜鸟相比，更擅长于自我检测，他们更容易意识到自己曾经犯过错的地方或是没能理解的问题，在他们察觉到自己可能错过一些信息时，会比菜鸟更频繁地检查自己的解决方案。专家总是能意识到他们领域知识的有限，并将它们专业领域的启发式学习应用出来来解决他们专业领域之外的问题。 I专业知识的悖论 专家的长处也是他们的弱点，尽管人们都期待专家是一个成功的预言家，但是他们并不是特别擅长对未来做出预测。自1930年代，研究者一直在测试专家做出预测的能力。专家的表现是根据数据统计来检测的，来确定他们的预测不仅仅是一句简单的数据模型。70年后，在不同领域进行了200多个实验，实验结果表明答案答案是否定的，如果一个实例中有相同量的数据，数据统计比专家更能对未来做出正确的预测。及时专家能获得比数据模型更加具体的实例信息，也不见得回避数据统计表在预测方面做得更好。 J理论学家和研究者在试图解释为什么专家在做预测方面逊于统计模型，一些人认为专家像其他所有人一样，在做预测时运用不同的头脑中的模型，大量的研究者指出在解释不可靠的专家预测时人们存在的偏差。在过去的30年，研究者已经分类，实验并提出相关理论来认知预测的各个方面。尽管研究者做了各种努力，历史资料显示，没有足够的数据显示上述问题和人类认知偏差之间有直接的联系。 答案： 1.principles and rules 2.mentor 3.journeyman 4.patterns of behavior 5.complex 6.FALSE 7.NOT GIVEN 8.TRUE 9.FALSE 10.TRUE 11.models 12.human biases 13.consensus
第二篇：化石数据库
Fossil files “The Paleobiology Database” A
Are we now living through the sixth extinction as our own activities destroy ecosystems and wipe out diversity? That’s the doomsday scenario painted by many ecologists, and they may well be right. The trouble is we don’t know for sure because we don’t have a clear picture of how life changes between extinction events or what has happened in previous episodes. We don’t even know how many species are alive today, let alone the rate at which they are becoming extinct. A new project aims to fill some of the gaps. The Paleobiology Database aspires to be an online repository of information about every fossil ever dug up. It is a huge undertaking that has been described as biodiversity’s equivalent of the Human Genome Project. Its organizers hopeb that by recording the history of biodiversity they will gain an insight into how environmental changes have shaped life on Earth in the past and how they might do so in the future. The database may even indicate whether life can rebound no matter what we throw at it, or whether a human induced extinction could be without parallel, changing the rules that have applied throughout the rest of the planet’s history.
B
But already the project is attracting harsh criticism. Some experts believe it to be seriously flawed. They point out that a database is only as good as the data fed into it, and that even if all the current fossil finds were catalogued, they would provide an incomplete inventory of life because we are far from discovering every fossilised species. They say that researchers should get up from their computers and get back into the dirt to dig up new fossils. Others are more sceptical still, arguing that we can never get the full picture because the fossil record is riddled with holes and biases.
C
Fans of the Paleobiology Database acknowledge that the fossil record will always be incomplete.
But they see value in looking for global patterns that show relative changes in biodiversity.
“The fossil record is the best tool we have for understanding how diversity and extinction work in normal times,” says John Alroy from the National Center for Ecological Analysis and Synthesis in Santa Barbara. “Having a background extinction estimate gives us a benchmark for
understanding the mass extinction that’s currently under way. It allows us to say just how bad it is in relative terms.”
D
To this end, the Paleobiology Database aims to be the most thorough attempt yet to come up with good global diversity curves. Every day between 10 and 15 scientists around the world add information about fossil finds to the database. Since it got up and running in 1998, scientists have entered almost 340,000 specimens, ranging from plants to whales to insects to dinosaurs to sea urchins. Overall totals are updated hourly at www.paleodb.org. Anyone can download data from the public part of the site and play with the numbers to their heart’s content. Already, the database has thrown up some surprising results. Looking at the big picture, Alroy and his colleagues believe they have found evidence that biodiversity reached a plateau long ago, contrary to the received wisdom that species numbers have increased continuously between extinction events. “The traditional view is that diversity has gone up and up and up,” he says. “Our research is showing that diversity limits were approached many tens of millions of years before the dinosaurs evolved, much less suffered extinction.” This suggests that only a certain number of species can live on Earth at a time, filling a prescribed number of niches like spaces in a multi-storey car park. Once it’s full, no more new species can squeeze in, until extinctions free up new spaces or something rare and catastrophic adds a new floor to the car park.
E
Alroy has also used the database to reassess the accuracy of species names. His findings suggest that irregularities in classification inflate the overall number of species in the fossil record by between 32 and 44 per cent. Single species often end up with several names, he says, due to misidentification or poor communication between taxonomists in different countries. Repetition like this can distort diversity curves. “If you have really bad taxonomy in one short interval, it will look like a diversity spike~a big diversification followed by a big extinction—when all that has happened is a change in the quality of names,” says Alroy. For example, his statistical analysis indicates that of the 4861 North American fossil mammal species catalogued in the database, between 24 and 31 per cent will eventually prove to be duplicates.
F
Of course, the fossil record is undeniably patchy (adj. 不协调的). Some laces and times have left behind more fossil-filled rocks than others. Some have been sampled more thoroughly. And certain kinds of creatures— those with hard parts that lived in oceans, for example— are more likely to leave a record behind, while others, like jellyfish, will always remain a mystery. Alroy has also tried to account for this. He estimates, for example, that only 41 per cent of North American mammals that have ever lived are known from fossils, and he suspects that similar proportion of fossils are missing from other groups, such as fungi and insects .
G
Not everyone is impressed with such mathematical wizardry (n. 魔法). onathan Adrain from the University of Iowa in Iowa City points out that statistical wrangling ( 争吵) has been known to create mass extinctions where none occurred. It is easy to misinterpret data. For example, changes in sea level or inconsistent sampling methods can mimic major changes in biodiversity. Indeed, a recent and thorough examination of the literature on marine bivalve fossils has convinced David Jablonsky from the University of Chicago and his colleagues that their diversity has increased steadily over the past 5 million years .
H
Adrain believes that fancy analytical techniques are no substitute for hard evidence, but he has also seen how inadequate historical collections can be. When he started his ongoing study of North American fossils from the Early Ordovician, about 500 million years ago, the literature described one genus and four species of trilobites, lust by going back to the fossil beds and sampling more thoroughly, Adrain found 11 genera and 39 species. “Looking inward has maybe taken us as far as it’s going to take us,” he says. “There’s an awful lot more out there than is in the historical record.” The only way to really get at the history of biodiversity, say Adrain and an increasingly vocal group of scientists, is to get back out in the field and collect new data.
I
With an inventory of all living species, ecologists could start to put the current biodiversity crisis in historical perspective. Although creating such a list would be a task to rival even the Palaeobiology Database, it is exactly what the San Francisco-based ALL Species Foundation hopes to achieve in the next 25 years. The effort is essential, says Harvard biologist Edward O. Wilson, who is alarmed by current rates of extinction. “There is a crisis. We’ve begun to measure it, and it’s very high,” Wilson says. “We need this kind of information in much more detail to protect all of biodiversity, not just the ones we know well.” Let the counting continue.
答案：
1.ⅲ 2.ⅰ 3.ⅱ 4.ⅵ 5.ⅴ 6.ⅳ
7.B 8.D 9.C 10.B 11.D 12.B 13.C
第三篇：巧克力的历史 （the history of chocolate ）
文章大意：业余作家探讨食物类话题，巧克力的软硬度、发展历史、各个国家对巧克力的不同、历史资料巧克力……The story of chocolate begins with the discovery of America. Until1492, the Old World knew nothing at all about the delicious and stimulatingflavor that was to become the favorite of millions. The court of King Ferdinand and Queen Isabella got its first look atthe principal ingredient of chocolate when Columbus returned in triumph fromAmerica and laid before the Spanish throne a treasure trove of many strange andwonderful things. Among these were a few dark brown beans that looked likealmonds and seemed most unpromising. They were cocoa beans — today’ s source ofall our chocolate and cocoa. The King and Queen never dreamed how important cocoa beans could be,and it remained for Hernando Cortez — the great Spanishexplorer, to grasp the commercial possibilities of the new world offerings. 1492年 ，哥伦布从 美洲凯旋归 来，在西班牙君主面前 展示他带回 的令 人惊奇 的财宝 ，费迪南德 国王 和伊莎贝拉女皇自此第一次见到了巧克力的主 要原 料——黑棕色的可可豆——我们所有巧克力和可可的原 料。尽管可可豆的重要性并未得到费迪南德 国王 和伊莎贝拉女皇的重视，但它仍被埃尔南 多•科尔特斯这位伟大的西班牙 探险家保留了下来，世界商品贸易的格局也因此而改变。 The World’ s Top Chocolate Spots Flanders, Belgium(不能没有巧克力的弗兰德 斯) Belgians love chocolate almost as much as they love beer. And it’ s not justany old chocolate: the Belgians are proud of quality and innovation, andFlanders in particular boasts some of the planet’ s finest and mostimaginative chocolatiers. Both Bruges and Brussels boast museums where you canlearn more about the history and production of chocolate. 弗兰德 斯是当之无愧的巧克力圣地，那里拥有世界上品质最好、最有创意的巧克力品牌。在布 鲁日和布 鲁塞尔还有很多在 别处很难见到的巧克力博物馆，在 那里你可以了解更多有关巧克力的制作工艺与发展历史。 Birmingham, England(英 国伯明翰——吉百利巧克力的故乡) It’ s not quite Willie Wonka’ s Chocolate Factory,but Birmingham’ s Cadbury World feeds the need in us all to drool over big vats ofbrown liquid loveliness and watch naked bars whizz through wrapping machines.Take the tour, taste the goods and go wild in the world’ s Biggest Cadbury Shop. 这里有世界上最大的吉百利巧克力商店——虽然并不像威利•旺卡的巧克力工厂那样，但这里棕色的巧克力浓浆和不加任何修饰的巧克力棒也足以让你大呼过瘾。 Switzerland(瑞士——当之无愧的“巧克力之都”) This compact nation has the highest per-capita chocolate consumptionin the world. For factory fun visit the Nestlé-Calliers site nearGruyères, or for handmade pralines and top truffles try one of the Sprüngli outlets— the company has been crafting cocoa since 1836. 这个西 欧小国有着全世界最高的巧克力人均消费 量。如果你对巧克力工厂感兴趣，可以去参观格吕耶尔附近的雀巢工厂。如果你更偏爱手工糖果和顶级的松露巧克力，那么就一定要去有一百多年 历史的瑞士莲特卖场。 Hershey, Pennsylvania, USA(美国宾夕法尼亚州的“好时帝国”) Welcome to the self-declared Sweetest Place on Earth! Thischocolate-scented town, HQ of the Hershey’ s empire, is a USinstitution and has spawned a whole resort of Chocó themedentertainment. Sip choc martinis in a Hershey-themed restaurant and slap yourpicture on a chocolate bar at Hershey’ s Chocolate World before being smearedwith therapeutic cocoa at the Hershey’ s Chocolate Spa. 这个充满巧克力香气的小镇就是好时巧克力帝国。在 这里，找一家好时主 题餐厅啜饮一杯巧克力马提尼，或是去好时帝国享受一次巧克力Spa都是不错的选择。 Ghana(世界上最大的可可出口国——加纳) Next time you munch a bar of Dairy Milk, think of Tetteh Quarshie.Who? The man who planted the first cacao seeds in Ghana, germinating theagricultural industry that made Ghana the largest cocoa exporter for most ofthe 20th century. You can visit Ghana’ s first cocoa plantat Quarshie’ s farm, and learn about chocolate production at the Tafo CocoaResearch Institute. 在 加纳种植可可的第一人——特塔•夸尔什使可可成为了加纳的主要农作物。在 二十世纪很长一段时间里，加纳一度成为世界上最大的可可出口国。现在 ，在 夸尔什的农场里还可以见到他 种植的第一棵可可树 ，此外，你还可以在 就近的可可研究院学习如何制作巧克力。 我们了解一些文章中的单词： stimulating adj 刺激的 trove n. 被发现的东西 ，收藏物 unpromising 无前 途的 whizz n. 专家，英 明的人 praline n. 果仁糖 truffle n. 松露 smear v. 涂上 munch v. 用力的咀嚼 答案待补充
回忆5： A类小作文是表格-The table below shows the percentage men and women working in several sectors in 1990,2000,2010.三年里男女在不同行业中的比例情况 大作文：Some people think that governments should do more to make their citizens eat a healthy diet. Others believe that individuals must take responsibility for their own diet and health. Discuss both these views and give your own opinion. 回忆6： 回忆7： 回忆8： 回忆9： 回忆10：
为更好地促进做好Edward艾华师最新预测,请烤鸭们积极回忆在本文下面评论栏目里面,请尽量详细,并标明城市考点,A/G类,听力,阅读,大小作文,谢谢！特请亚太其他国家,欧洲,北美,南美,非洲等其他考区的烤鸭们也积极回忆吧
特别提醒：雅思考试20多年来，有非常严格的规律性和出题思路。全世界有6大考区，而只有一个剑桥考试中心几个人在出题，每个考区一周平均要出一份考卷，一个月出24份考卷，考官如何保证达到难度一样呢，如何保证新题难度、准确度和评价机制公平呢，所以只能是20年来的题库旧题目的有效组合，新题不能超出5-10%,每份雅思卷子都是95%-99%以上旧题原题真题。多年雅思考官和专家Edward老师非常熟悉雅思出题规律和听说读写题库出题组合卷子的秘诀，IPN资料因此而诞生！具体请阅读http://bbs.ieltstofelglobal.com/thread-32-1-1.html
|
|
|Archiver|手机版|小黑屋|雅思托福英语全球网
( 闽ICP备14014910号 )
|
闽公网安备 35020302034732号
发表于 2017-9-18 09:05:22
QQ好友和群
QQ空间
腾讯微博
腾讯朋友
收藏