2022-2023学年山东省莱西市第一中学高三上学期12月月考英语试题

2022-2023学年山东省莱西市第一中学高三上学期12月月考英语试题1. HANDSTITCHED WORLDS: THE CARTOGRAPHY OF QUILTSQuilts (床罩) are a narrative art; with themes that are political, spiritual, communal, or commemorative, they are infused with history and memory, mapping out intimate stories and legacies through a handcrafted language of design. Handstitched Worlds: The Cartography of Quilts is an invitation to read quilts as maps, tracing the paths of individual histories that illuminate larger historic events and cultural trends.Spanning the nineteenth to twenty-first centuries, this insightful and engaging exhibition brings together 18 quilts from the collection of the American Folk Art Museum, New York, representing a range of materials, motifs, and techniques from traditional early-American quilts to more contemporary sculptural assemblages. The quilts in Handstitched Worlds show us how this too-often overlooked medium balances creativity with tradition, individuality with collective zeitgeist. Like a road map, these unique works offer a path to a deeper understanding of the American cultural fabric. Number of Works:18 quiltsOrganized by: American Folk Art Museum, New YorkApproximate size:175-200 linear feetSecurity: Moderate securityParticipation Fee: Please inquireShipping: IA&A makes all arrangements; exhibitors pay outgoing shipping costs within the contiguous U.S.Booking Period:12 weeksTour: June 2021—August2024Contact:***************************************Leigh Yawkey Woodson Art Museum, Wausau, WIJune 12, 2021—August 29, 2021Washington State Historical Society, Tacoma, WASeptember 17, 2021—January 23, 2022Utah Museum of Fine Arts, Salt Lake City, UTFebruary 19, 2022—May 14, 2022Fort Wayne Muesum of Art, Fort Wayne, INJune 18, 2022—September 11, 2022AVAILABLEOctober 2022—January 2023Dane G. Hansen Memorial Museum, Logan, KSFebruary 17,2023—May 14, 2023AVAILABLEJune 2023—December 2023Lauren Rogers Museum of Art, Laurel, MSJanuary 30, 2024—April 21, 2024AVAILABLEMay 2024—August 2024All tour dates can be customized to meet your scheduling needs. Please contact Traveling************************************************.1. What is the purpose of the exhibition of Handstitched Worlds: The Cartography of Quilts?A．To promote creativity and individuality thorough the engaging exhibition.B．To provide an opportunity for visitors to learn to make quilts stitch by stitch.C．To give visitors an insight into the history and culture of America in specific periods.D．To enrich the understanding of the American culture by a tour visit to museums across America.2. Which of the following statements is TRUE according to the article?A．The exhibition is free both for the exhibitors and for the visitors.B．Exhibitors that are interested can choose whatever dates they want.C．The artistic and historic value of handstitched quilts used to be neglected.D．Exhibitors that are interested can book the exhibition 12 weeks in advance.3. The article is written to _________.A．exhibitors B．visitors C．artists D．historians2. The “reading wars,” one of the most confusing and disabling conflicts in the history of education, went on heatedly in the 1980s and then peace came. Advocates of phonics (learning by being taught the sound of each letter group) seemed to defeat advocates of whole language (learning by using cues like context and being exposed to much good literature).Recent events suggest the conflict of complicated concepts is far from over. Teachers, parents and experts appear to agree that phonics is crucial, but what is going on in classrooms is not in agreement with what research studies say is required, which has aroused a national debate over the meaning of the word “phonics.”Lucy M. Calkins, a professor at Columbia University’s Teachers College and a much-respected expert on how to teach reading, has drawn attention with an eight-page essay. Here is part of her argument: “The important thing is to teach kids that they needn’t freeze when they come to a hard word, nor skip past it. The important thing is to teach them that they have resources to draw upon, and to use those resources to develop endurance.”To Calkins’s critics, it is cruel and wasteful to encourage 6-year-old s to look for clues if they don’t immediately know the correct sounds. They should work on decoding — knowing the pronunciation of every letter group — until they master it, say the critics, backed by much research.Calkins’s approach “is a slow, unreliab le way to read words and an inefficient way to develop word recognition skill,” Mark S. Seidenberg, a psychologist at the University of Wisconsin, said in a blog post. “Dr. Calkins treats word recognition as a reasoning problem — like solving a puzzle. She is committed to the educational principle that children learn best by discovering how systems work rather than being told.”Many others share his view. “Children should learn to decode — i.e., go from print on the page to words in the mind — not by clever guesswork and inference, but by learning to decode,” Daniel Willingham, a psychologist at the University of Virginia, told me. He said the inferences Calkins applauds are “cognitively (认知地) demanding, and readers don’t have much endurance for it. … It disturbs the flow of what you’re reading, and doing a lot of it gets frustrating.”Yet a recent survey found that only 22 percent of 670 early-reading teachers are using the approach of phonics and what they mean by phonics is often no more than marking up a worksheet.Both sides agree that children need to acquire the vocabulary and background information that gives meaning to words. But first, they have to pronounce them correctly to connect the words they have learned to speak.Calkins said in her e ssay: “Much of what the phonics people are saying is praiseworthy,” but it would be a mistake to teach phonics “at the expense of reading and writing.”The two sides appear to agree with her on that.1. Critics of phonics hold the opinion that ________.A．children should be taught to use contextB．teaching phonics is both boring and uselessC．kids acquire vocabulary in hearing letter groupsD．pronunciation has nothing to do with meaning of words2. Which of the following statements is Mark S. Seidenberg most likely to agree with?A．Tell me and I will forget; show me and I will remember.B．Skilled reading is fast and automatic but not deliberative.C．Word recognition skill should be developed in problem reasoning.D．Learning to make reasonable inferences is also a way of decoding.3. It can be inferred from the passage that ________.A．phonics approach has been proved to be successfulB．children don’t shy away from difficulties in readingC．the two reading approaches might integrate with each otherD．reading and writing are much more important than phonics4. Which of the following might be the best title of the passage?A．An everlasting reading war among criticsB．From print on the page to words in the mindC．A battle restarts between phonics, whole languageD．Decoding and inferring confuse early-reading teachers3. In 1953, when visiting his daughter’s maths class, the Harvard psychologist B.F. Skinner found every pupil learning the same topic in the same way at the same speed. Later, he built his first “teaching machine”, which let children tackle questions at their own pace. Since then, education technology (edtech) has repeated the cycle of hype and flop (炒作和失败), even as computers have reshaped almost every other part of life.Softwares to “personalize” learning can help hundreds of millions of children stuck in miserable classes—but only if edtech supporters can resist the temptation to revive harmful ideas about how children learn. Alternatives have so far failed to teach so many children as efficiently as the conventional model of schooling, where classrooms, hierarchical year-groups, standardized curriculums and fixed timetables are still the typical pattern for most of the world’s nearly 1.5 billion schoolchildren. Under this pattern, too many do not reach their potential. That condition remained almost unchanged over the past 15 years, though billions have been spent on IT in schools during that period.What really matters then? The answer is how edtech is used. One way it can help is through tailor-made instruction. Reformers think edtech can put individual attention within reach of all pupils. The other way edtech can aid learning is by making schools more productive. In California schools, instead of textbooks, pupils have “playlists”, which they use to access online lessons and take tests. The software assesses children’s progress, lightening teachers’ marking load and allowing them to focus on other tasks. A study suggested that children in early adopters of this model score better in tests than their peers at other schools.Such innovation is welcome. But making the best of edtech means getting several things right. First, “personalized learning” must follow the evidence on how children learn. It must not be an excuse to revive pseud oscientific ideas such as “learning styles”: the theory that each child has a particular way of taking in information. This theory gave rise to government-sponsored schemes like Brain Gym, which claimed that some pupils should stretch or bend while doing sums. A less consequential falsehood is that technology means children do not need to learn facts or learn from a teacher—instead they can just use Google. Some educationalists go further, arguing that facts get in the way of skills such as creativity. Actually, the opposite is true. According to studies, most effective ways of boosting learning nearly all relied on the craft of a teacher.Second, edtech must narrow, rather than widen, inequalities in education. Here there are grounds for optimism. Some of the pioneering schools are private ones in Silicon Valley. But many more are run by charter-school groups teaching mostly poor pupils, where laggards (成绩落后者) make the most progress relative to their peers in normal classes. A similar pattern can be observed outside America.Third, the potential for edtech will be realized only if teachers embrace it. They are right to ask for evidence that products work. But skepticism should not turn into irrational opposition. Given what edtech promises today, closed-mindedness has no place in the classroom.1. According to the passage, education technology can ________.A．decrease teachers’ working loadB．facilitate personalized learningC．help standardize curriculumsD．be loved by schoolchildren2. Which example best argues against the underlined sentence in Para. 4?A．The students who are better at memorization tend to be less creative.B．Schools with bans on phones have better results than high-tech ones.C．Shakespeare was trained in grammar but he penned many great plays.D．Lu Xun’s creativity was unlocked after he gave up studying medicine.3. The author believes that edtech functions well only when it is ________.A．at the service of teachingB．limited in use among pupilsC．aimed at narrowing the wealth gapD．in line with students’ learning styles4. What is the main purpose of the passage?A．To stress the importance of edtech.B．To introduce the application of edtech.C．To discuss how to get the best out of edtech.D．To appeal for more open-mindedness to edtech.4. Beating Burnout and Compassion Fatigue in the New YearThis year has continued to bring many of us closer to the pain, suffering and exhaustion of those experiencing burnout and compassion fatigue (疲倦). There is no doubt that 2021 has been filled with additional challenges. 1The data is clearly showing that our workforce shares feelings of burnout. A recent Gallup report indicated that 67% of us feel burned out either some or most of the time. At an organizational level, Hogan reports that burned out employees are 18% less productive and 2.6 times more likely to be actively seeking a different job.Fatigue and burnout arise not when we fail to get sufficient rest but when we fail to appreciate the moments of purpose and joy in our lives.There are a few myths around burnout and compassion fatigue:Myth 1: Burnout is an individual's problem.Many people believe that burnout is about an individual who needs to “figure it out”. 2 Team structure offers critical support and leaders should create environment where team burnout is addressed.Myth 2: 3Surprisingly, the individuals most likely to experience burnout are committed employees and leaders who love their job and are highly engaged. These top performers are the people you are most likely to lose.Myth 3: People who experience burnout are just less resilient.Research shows a correlation between higher levels of resilience (复原力) and lower levels of burnout. 4 But resilience looks very different now from five years ago, and my guess is that it will continue to shift.If 2021 has taught us anything, it is that we cannot separate burnout from our emotions, whether they may be fear, anger, shame or guilt. 55. There aren’t enough resources to identify and cure the factors that are causing populations of animals around the world to decline. Artificial intelligence might have the power to change that.When an endangered seabird hits a power line, it ________ “very much like the laser noise from Star Wars,” says preservation biologist Marc Travers. He should know, as h is team from the Endangered Seabird Recovery Project recorded thousands of hours of audio to determine if power lines ________ local seabirds. Travers was trying to establish how ________ birds were killed by power lines on the island of Kauai in Hawaii in 2011.His team recorded 600 hours of audio and sent the recordings to Preservation Metrics, a company that assists preservation efforts with AI ________. Preservation Metrics used a program to “listen” to the recordings and check off the sounds that signified bird electrocutions (电击). The result was ________, as the number of bird electrocutions was in the thousands. ________ proof that power lines were killing a significant number of birds, the team worked with the local utility (公共设施) service to reduce bird deaths.In science fiction stories such as The Matrix, AI-powered machines take over the world and end life on the planet as we know it. But ________, programs that use AI to sort through mountains of data might just save some species from disappearing permanently.By many ________, humans have been poor keepers of the planet. Humans have altered as much as 97 percent of land ecosystems. Key populations of monitored animals have declined as much as 68 percent since 1970. The decline in ________ around the world has created a miserable situation. Preservation efforts ________ key resources they need to be effective.Humans, ________, fortunately have AI-based tools that can help now. AI can quickly and accurately sort through large amounts of data created by observations in the field. Then other programs such as PAWS (Protection Assistant for Wildlife Security) can help analyse the data and suggest the most effective ways to focus preservation efforts.In large national parks and wildlife reserves, ________ hunters are a danger for animals both big and small. Some animals are worth a lot of money on the black market. Park keepers are left with a(n)________ task because there is too much land to cover. But the PAWS programme allows park keepers to focus their efforts. PAWS has even ________ the existence of trap lines in areas not yet watched by park keepers!We still face many challenges to ________ the loss of wildlife, but AI-powered programs promise to be a powerful preservation tool.1.A．makes a sound B．catches fire C．keeps theD．takes chancesdistance2.A．affected B．preserved C．recorded D．attracted3.A．unlawfully B．instantly C．frequently D．deliberately4.A．fiction B．significance C．factors D．resources5.A．deceiving B．doubtful C．desirable D．disturbing6.A．Engaged in B．Qualified for C．Armed with D．Exposed to7.A．in addition B．in reality C．in return D．in fact8.A．measures B．programs C．services D．species9.A．biodiversity B．production C．population D．economy10.A．distribute B．pool C．lack D．exploit11.A．meanwhile B．however C．otherwise D．besides12.A．big-game B．professional C．local D．illegal13.A．impossible B．dangerous C．urgent D．thankless14.A．disproved B．explained C．predicted D．ignored15.A．estimate B．reverse C．experience D．sustain6. Directions:After reading the passage below, fill in the blanks to make the passage coherent and grammatically correct. For the blanks with a given word, fill in each blank with the proper form of the given word; for the other blanks, use one word that best fits each blank.Human memory is notoriously (众所周知地) unreliable. Even people with the sharpest facial recognition skills can only remember so much.It’s tough to quantify how good a person is 1 remembering. No one really knows how many different faces someone can recall, for example, but various estimates tend to hover in the thousands – based on the number of acquaintances a person 2 have.Machines aren’t limited this way. Give the right comp uter a massive database of faces, and it can process what it sees – then recognize a face it 3 (tell) to find – with remarkable speed and precision.This skill is 4 supports the enormous promise of facial-recognition software in the 21st century. It is also what makes contemporary surveillance (监控) systems so scary.The thing is, machines still have limitations when it comes to facial recognition. And scientists are only just beginning to understand what those constraints are. 5 (figure) out how computers are struggling, researchers at the University of Washington created a massive database of faces – theycall it MegaFace – and 6 (test) a variety of facial-recognition algorithms(算法) as they scales up in complexity. The idea was to test the machines on a database that included up to 1 million different images of nearly 7,000 different people – and not just a large database 7 (feature) a relatively small number of different faces, more consistent with what’s been used in other research.As the databases grew, machine accuracy dipped across the board. Algorithms 8 were right 95% of the time when they were dealing with a 13,000-image database, for example, were accurate about 70% of the time when 9 (face) with 1 million images. That’s still pretty g ood, says one of the researchers, Ira Kemelmacher-Shlizerman. “Much better than we expected,” she said,Machines also had difficulty adjusting for people who look a lot alike –either doppelgangers (长相极相似的人), whom the machine would have trouble 10 (identify) as two separate people, or the same person who appeared in different photos at different ages or in different lighting, whom the machine would incorrectly view as separate people.7. 上周末，你校组织了一次图书义卖活动。