Unit 8 Big Data（B卷·能力提升）《英语 拓展模块》（语文版2022版）单元过关卷（原卷版+解析版）

**基本信息** 本试卷为《英语 拓展模块》（语文版2022版）Unit 8 Big Data的B卷·能力提升卷，紧扣单元核心考点，通过真实情境任务整合语言能力与数据素养，适配中职英语单元复习，助力学生构建知识网络与提升综合应用能力。 **题型特征** |题型|题量/分值|知识覆盖|命题特色| |----|-----------|----------|----------| |情景交际|15题/20分|大数据隐私保护、应用场景（如位置权限、数据收集目的）|以对话形式考查语言理解与表达，融入数据伦理判断，提升思维品质| |阅读理解|20题/40分|社区数据活动、学校数据教学应用、商业数据分析、数据素养内涵|选取真实案例（如职业学校用数据优化英语教学），培养信息筛选与批判思维| |书面表达|1题/20分|数据素养含义、理性用数据、信息保护、独立思考|结合生活实例（如学习平台数据使用），综合考查语言组织与跨文化沟通能力，呼应核心素养中学习能力与文化意识的培育|

编写说明：本套试卷紧扣《英语 拓展模块》（语文版2022版）教材，以教材单元为基准精准覆盖核心考点。 每个单元设置AB卷，A卷为基础巩固卷，侧重基础考点训练，帮助学生扎实掌握知识要点；B卷为能力提升卷，注重知识整合与全面检测，引导学生构建知识网络。全书设计4份综合测试卷，模拟实战情境，聚焦解题能力突破，全面提升应试能力与知识应用水平。 《英语 拓展模块》（语文版2022版）《单元过关卷》 Unit 8 Big Data B卷·能力提升 考试时间：120分钟 满分：100分 班级_____姓名_____学号_____成绩_____ 一、情景交际（共15小题；1—10题每小题1分，11—15题每小题2分，满分20分） 第一节 从 A、B、C、D 四个选项中选出一个可以填入空白处的最佳选项。（共10小题，每小题1分，满分10分） 1. —Our app asks for my location even when I only read articles. What should I do? —_______. A. Accept every request at once. B. Post your location online. C. Check the permission and turn it off if unnecessary. D. Delete all learning records forever. 【答案】C 【详解】应用请求与阅读文章关系不大，应检查权限并关闭不必要授权，C项符合数据安全语境。 2. —How did the bank know that I might need a travel card? —_______. It may analyse your recent transactions and service history. A. By using customer data responsibly. B. By guessing your dream without information. C. By refusing to process any record. D. By asking strangers in the street. 【答案】A 【详解】后句提到分析交易和服务记录，A项“使用客户数据”承接准确。 3. —I think big data means collecting as much private information as possible. —_______. Useful data collection should have a clear purpose and rules. A. Exactly. B. That is always true. C. No problem. D. I do not think so. 【答案】D 【详解】后句指出应有明确目的和规则，否定“尽可能收集隐私信息”的观点，D项合适。 4. —Which factor best shows “variety” in big data? —_______. A. The data is produced quickly. B. The data includes text, pictures, locations and numbers. C. The data is stored in one small notebook. D. The data is deleted before analysis. 【答案】B 【详解】variety 强调数据种类多样，包括文本、图片、位置和数字，B项正确。 5. —The city wants to adjust bus lines with traffic-flow records. —_______. A. That has nothing to do with data. B. That will make buses disappear. C. That is a practical use of big data. D. That means no one needs transport. 【答案】C 【详解】利用交通流量记录调整公交线路是大数据的实际应用，C项正确。 6. —May I use the class survey results in my report? —_______. Do not include names or phone numbers. A. Yes, but protect personal information. B. No, because data can never be used. C. Yes, and publish every detail. D. No, but you may copy passwords. 【答案】A 【详解】后句提醒不要包含姓名电话，说明可以使用但必须保护个人信息，A项准确。 7. —Personalised learning sounds useful. Does it mean the platform knows everything about me? —_______. It should only use necessary learning data with permission. A. Yes, it can take all private photos. B. No, it must ignore your progress. C. Yes, rules are not needed. D. Not really. 【答案】D 【详解】后句说明只应在许可下使用必要学习数据，否定“知道一切”的担忧，D项合适。 8. —What should we do before clicking a link in an unknown data report? —_______. A. Click it immediately. B. Check the source carefully. C. Share it with every group. D. Enter your password first. 【答案】B 【详解】未知链接存在风险，点击前应仔细核查来源，B项符合安全原则。 9. —Big data can predict what users may need. Is prediction always correct? —_______. Human judgment is still needed. A. No, it is not. B. Yes, every prediction is perfect. C. Data never makes mistakes. D. People should stop thinking. 【答案】A 【详解】后句说仍需人的判断，说明预测并非总是正确，A项合适。 10. —Our team has collected numbers, pictures and short comments for the project. —_______. Now try to organise them before analysis. A. You have only one kind of data. B. You should throw them away. C. You have data in different forms. D. You cannot analyse anything. 【答案】C 【详解】numbers、pictures、comments 属于不同形式的数据，C项概括准确。 第二节 读下面一段对话，从方框中所给的 A、B、C、D、E、F 和 G 七个选项中选出可以填入空白处的最佳选项。（共5小题，每小题2分，满分10分） Tang Lin: We need to prepare a class debate. The topic is whether big data only brings benefits. Zhou Qian: _______ 11 _______ It brings convenience, but it may also cause privacy worries. Tang Lin: Let us start with benefits. Online learning platforms are a good example. Zhou Qian: _______ 12 _______ Teachers can notice who needs extra help. Tang Lin: For risks, I want to mention unnecessary data collection. Zhou Qian: _______ 13 _______ Clear permission should come before collection. Tang Lin: What about users themselves? Zhou Qian: _______ 14 _______ Tang Lin: Great. How shall we close the debate? Zhou Qian: _______ 15 _______ A. Learning records can be analysed to provide personalised guidance. B. People should give passwords to any website. C. They should read permissions and avoid sharing private details carelessly. D. Data security is never related to users. E. Big data serves us best when convenience and responsibility go together. F. We should take a balanced view. G. I agree because collecting more than necessary may hurt privacy. 【答案】11.F 12.A 13.G 14.C 15.E 【导语】这段对话围绕大数据利弊辩论展开，既讨论个性化学习等便利，也强调权限、隐私和用户责任。 【详解】11. 后文同时提便利和隐私担忧，F项“平衡看待”统领。 12. 上文说在线学习平台，A项说明学习记录分析与个性化指导。 13. 上文提不必要收集，G项指出过度收集伤害隐私。 14. 上文问用户自身做法，C项给出阅读权限、谨慎分享。 15. 结尾应总结便利与责任并重，E项合适。 二、阅读理解（共20小题；每小题2分，满分40分） 阅读下列短文，从题后所给的 A、B、C、D 四个选项中选出最佳答案。 A The Youth Digital Club is recruiting volunteers for a community activity named “Data for a Better Neighbourhood”. Volunteers will work in teams and help residents understand how data can improve services. Each team must follow privacy rules: do not record names, ID numbers or exact home addresses. Students may apply before June 3 and should choose the role that matches their strengths. Role Working Time Place and Limit Tasks Survey Helper June 8 8:30-11:30 Community Gate 16 students Count visitors by time period Ask general transport needs Use anonymous forms Map Reader June 8 14:00-17:00 Service Center 12 students Mark crowded bus stops Compare walking routes Prepare a simple map Health Reminder Designer June 9 9:00-11:00 Activity Room 20 students Use step-count examples Design healthy habit cards Explain personalised tips Privacy Guide June 9 18:30-20:30 Meeting Hall 25 students Introduce app permissions Teach strong passwords Answer safety questions 16. Which role has the smallest student limit? A. Survey Helper. B. Map Reader. C. Health Reminder Designer. D. Privacy Guide. 17. If Li Mei is free only on the evening of June 9, which role can she choose? A. Survey Helper. B. Map Reader. C. Health Reminder Designer. D. Privacy Guide. 18. What must all volunteers avoid recording? A. Names, ID numbers or exact home addresses. B. Time periods and general needs. C. Crowded bus stops. D. Step-count examples. 19. What task belongs to Health Reminder Designer? A. Prepare a simple map. B. Count visitors at the gate. C. Design healthy habit cards. D. Teach strong passwords. 20. What is the main purpose of the activity? A. To sell digital products to residents. B. To show how data can improve neighbourhood services safely. C. To collect exact addresses for a company. D. To stop residents from using apps. 【答案】16.B 17.D 18.A 19.C 20.B 【导语】本文是一则志愿者招募通知，介绍社区数据服务活动的岗位、时间、地点、任务和隐私规则。 【详解】16. Map Reader 限12人，为最少。 17. 6月9日晚只有 Privacy Guide。 18. 开头明确不得记录姓名、身份证号或详细住址。 19. Health Reminder Designer 的任务包括设计健康习惯卡。 20. 活动名称和介绍说明目标是用数据安全地改善社区服务。 B A local newspaper recently reported how a vocational school used learning data to improve English support classes. In the past, teachers often chose extra exercises by experience. Some students felt the exercises were too easy, while others could not follow them. This term, the school tried a new method. With students’ permission, the platform collected general records, such as time spent on listening tasks, common wrong answers and review frequency. It did not collect chat histories or private photos. After four weeks, teachers found several patterns. Students who listened to short audio twice usually did better than those who listened once and moved on quickly. Many students made mistakes in words with similar sounds, but they did not review the mistakes within two days. The platform then grouped exercises by difficulty and reminded students to review at suitable intervals. Teachers also used the data to organise small workshops: one for pronunciation, one for reading long sentences and one for writing clear topic sentences. The result was encouraging, but the school did not call data a magic solution. Teachers still talked with students face to face because numbers could not explain every feeling or family situation. One teacher said, “Data can point to a problem, but care and communication help us understand the learner.” The report concluded that learning data should support teachers, not replace them. Used properly, it can make guidance more accurate and fair. 21. What problem existed before the new method was tried? A. Extra exercises did not always match students’ levels. B. Teachers refused to give support classes. C. Students had no English lessons. D. The platform collected private photos every day. 22. Which record was collected with permission? A. Students’ family addresses. B. Private chat histories. C. Time spent on listening tasks. D. Personal photo albums. 23. What pattern did teachers find about listening? A. Listening once was always enough. B. Long audio was useless for everyone. C. Students should never repeat audio. D. Students who listened twice often performed better. 24. Why did teachers still talk with students face to face? A. Because numbers could explain every feeling. B. Because data could not show every personal situation. C. Because the platform stopped working. D. Because students disliked all workshops. 25. What is the best title for the passage? A. Learning Data as a Helpful Guide. B. Why Teachers Should Be Replaced. C. Private Photos in English Classes. D. A School Without Communication. 【答案】21.A 22.C 23.D 24.B 25.A 【导语】本文是一篇新闻报道，介绍学校在获得许可的前提下使用学习数据改进英语辅导，并强调数据应辅助教师而非替代教师。 【详解】21. 第一段说明过去练习难度与学生水平不匹配。 22. 第一段列出收集的包括 listening tasks 用时。 23. 第二段说明听两遍短音频的学生表现更好。 24. 第三段指出数字不能解释每种感受或家庭情况。 25. 全文围绕学习数据如何成为有效指导展开。 C Nora worked as an intern in a small online store. Her first task was to reply to customer messages, but she soon noticed a strange problem. Many customers asked the same question: “Will this bag fit a 14-inch laptop?” The product page had the size, yet people still felt unsure. The manager wanted to add a sentence saying “large enough for all laptops”, but Nora thought that was not careful because laptop sizes varied. She decided to look at the store’s data. She checked anonymous search words, return reasons and customer questions from the past two months. She found that customers did not only care about the number “14 inches”. They also cared about bag width, inner pocket shape and whether a charger could be put inside. Some returns happened because customers thought the photos made the bag look deeper than it really was. Nora suggested three changes. First, add a comparison table showing laptop size, bag width and inner pocket depth. Second, upload a short video showing how to place a laptop and charger. Third, change the recommendation from “for all laptops” to “suitable for most thin 14-inch laptops; please check the table before buying”. The manager accepted her plan. A month later, repeated questions decreased, and return rates dropped slightly. Nora learned that data analysis was not about making a loud promise. It was about listening to real needs hidden behind numbers and words. More importantly, she understood that honest information could protect both customers and the store. 26. What problem did Nora notice first? A. The store had no bags to sell. B. Customers could not open the website. C. The manager refused to answer messages. D. Many customers asked whether a bag fit a laptop. 27. Why did Nora disagree with “large enough for all laptops”? A. Because laptop sizes varied. B. Because the bag was free. C. Because customers never read words. D. Because photos were unnecessary. 28. Which data did Nora check? A. Customers’ ID numbers. B. Private home addresses. C. Anonymous search words and return reasons. D. Passwords of store workers. 29. What change did Nora suggest? A. Add a comparison table with clear size information. B. Delete all product photos. C. Promise the bag fits every laptop. D. Stop selling bags online. 30. What can we infer from the result? A. Honest details made customers more confused. B. Data analysis increased return rates greatly. C. The manager rejected every suggestion. D. Clearer information helped reduce repeated questions. 【答案】26.D 27.A 28.C 29.A 30.D 【导语】本文是一篇职场叙事文，讲述实习生通过分析匿名搜索词、退货原因和客户问题，改进商品说明并减少重复咨询。 【详解】26. 第一段说明大量顾客询问包是否适合14英寸电脑。 27. Nora 认为电脑尺寸不同，不能承诺适合全部。 28. 第二段列出 anonymous search words、return reasons 和 customer questions。 29. 第三段第一条建议是增加对比表。 30. 结果显示重复问题减少，说明清晰信息有效。 D As big data becomes common, a new skill is becoming important: data literacy. It means the ability to read, question and use data in a reasonable way. A person with data literacy does not simply believe a colourful chart or a popular online claim. Instead, he asks where the data comes from, how it was collected and whether the conclusion is supported by enough evidence. Data literacy matters because data can influence decisions in study, work and public services. A student may choose a course after comparing employment information. A shop owner may prepare goods according to sales records. A city may adjust bus lines after analysing passenger flow. In these cases, good data can save resources and improve service quality. Poor or incomplete data, however, may lead to unfair or wasteful decisions. There are three basic steps to improve data literacy. First, read data in context. A number alone may not tell the whole story. If an app says “80% of users improved”, we should ask how many users were included and what “improved” means. Second, protect personal information. Useful analysis should not become an excuse for unlimited collection. Third, combine data with human judgment. Data may show what is happening, but people still need to decide what is right, kind and practical. Therefore, the goal is not to turn every student into a data scientist. The goal is to help everyone become a careful user of information. In a digital society, those who understand data can enjoy convenience without losing the ability to think independently. 31. What does data literacy mean according to Paragraph 1? A. The ability to draw colourful charts only. B. The habit of believing every online claim. C. The ability to read, question and use data reasonably. D. The skill of collecting private information quickly. 32. Which example shows data influencing public services? A. A city adjusts bus lines after analysing passenger flow. B. A student forgets to review notes. C. A person refuses to read any chart. D. A shop closes without records. 33. Why should we ask what “80% of users improved” means? A. To make the app more colourful. B. To understand the context and evidence behind the number. C. To avoid all useful information. D. To prove every number is false. 34. Which step is NOT mentioned for improving data literacy? A. Read data in context. B. Protect personal information. C. Combine data with human judgment. D. Collect unlimited private data for analysis. 35. What is the writer’s purpose in the last paragraph? A. To ask every student to become a scientist. B. To stop people from using digital services. C. To encourage careful and independent use of information. D. To say convenience is more important than thinking. 【答案】31.C 32.A 33.B 34.D 35.C 【导语】本文是一篇社科科普说理文，介绍数据素养的含义、重要性和提升方法，强调在数字社会中理性使用信息。 【详解】31. 第一段直接解释 data literacy 是合理阅读、质疑和使用数据的能力。 32. 第二段城市根据客流调整公交线路属于公共服务。 33. 第三段提醒要理解数字背后的样本和定义。 34. 文中反对 unlimited collection，D项不是建议。 35. 最后一段强调成为谨慎的信息使用者并保持独立思考。 三、完形填空（共10小题；每小题1分，满分10分） 阅读下列短文，从短文后各题所给的 A、B、C、D 四个选项中，选出可以填入空白处的最佳选项。 During my internship at a community service center, I helped prepare a report about elderly residents’ transport needs. At first, I thought the job was only to count numbers. Later, I found it required careful thinking and respect _______ 36 _______ privacy. We used anonymous forms. Residents wrote down when they usually went to hospital, the bus stops they used most often, and whether they needed help reading route information. We were not allowed _______ 37 _______ names or exact addresses. My teammate wanted to ask more questions, but our supervisor said, “Collect only what is _______ 38 _______.” After organizing the forms, we discovered that many residents visited the hospital on Tuesday mornings. The nearest bus stop was crowded, and some people waited _______ 39 _______ than twenty minutes. We suggested adding a volunteer guide during that time and putting a larger route map near the stop. The plan sounded simple, but it was based on _______ 40 _______ information. The experience taught me a useful lesson. Data can make services _______ 41 _______ accurate, but it should never make people feel unsafe. If we use data _______ 42 _______ asking for permission, we may lose trust. If we only look at numbers and forget real people, our suggestions may be cold. Good data work means finding a balance _______ 43 _______ efficiency and care. It helps us solve problems, _______ 44 _______ it also reminds us to act responsibly. I believe this skill will become more important as digital services _______ 45 _______ in the future. 36. A. for B. at C. with D. by 37. A. record B. to record C. recording D. recorded 38. A. necessary B. private C. dangerous D. careless 39. A. many B. more C. most D. much 40. A. analyse B. analyzed C. analysis D. analyzing 41. A. more B. most C. much D. many 42. A. without B. through C. beside D. during 43. A. about B. between C. from D. above 44. A. but B. because C. or D. so 45. A. develops B. developed C. develop D. will develop 【答案】36.A 37.B 38.A 39.B 40.B 41.A 42.A 43.B 44.A 45.C 【导语】本文讲述作者在社区服务中心实习时，用匿名数据分析老年居民交通需求，并认识到效率与关怀、数据与隐私之间的平衡。 【详解】36. respect for privacy 表示“对隐私的尊重”。 37. be allowed to do sth. 的被动结构。 38. collect only what is necessary 表示只收集必要信息。 39. more than twenty minutes 表示超过二十分钟。 40. 修饰 information 用过去分词 analyzed，表示经过分析的信息。 41. more accurate 为比较级，表示更准确。 42. without asking for permission 表示未经许可。 43. between...and... 为固定搭配。 44. 前后有转折意味，用 but。 45. as 引导时间状语从句，用一般现在时表示将来，主语 services 为复数，用 develop。 四、语法填空（共10小题；每小题1分，满分10分） 阅读下列短文，在空白处填入一个适当的词，或填入括号中所给单词的正确形式，并将答案写在对应处。 Data literacy is useful for students in a digital society. It helps them decide whether a chart or report is believable. Before accepting a conclusion, students should ask where the data _______ 46 _______ (come) from and how it was collected. They should also notice whether the number is large enough _______ 47 _______ support the idea. In daily life, data can bring many _______ 48 _______ (benefit). A transport app may show the fastest route, and a learning platform may provide exercises _______ 49 _______ match a student’s level. However, people need to be careful. Some apps collect _______ 50 _______ (much) information than they really need. Users should read permissions _______ 51 _______ they click “agree”. Good use of big data also requires human judgment. Numbers can show patterns, but they cannot decide what is kind or fair. For example, if a report says a student practises less than others, a teacher should talk with the student _______ 52 _______ (patient) before making a plan. The student may have a health problem or poor Internet connection. When data _______ 53 _______ (use) together with care, it can improve services. In the future, people who understand data _______ 54 _______ (make) wiser choices and protect _______ 55 _______ (they) better. 46._________ 47._________ 48._________ 49._________ 50._________ 51._________ 52._________ 53._________ 54._________ 55._________ 【答案】46.comes 47.to 48.benefits 49.that/which 50.more 51.before 52.patiently 53.is used 54.will make 55.themselves 【导语】本文说明数据素养能帮助学生判断信息、享受便利并保护隐私，同时强调数据使用需要人的判断和关怀。 【详解】46. 主语 data 作单数概念处理，where 引导宾语从句，谓语用 comes。 47. enough to do sth. 表示足以做某事。 48. many 后接可数名词复数 benefits。 49. exercises 后为定语从句，先行词为物，用 that/which。 50. than 提示比较级 more。 51. 根据语义，应在点击同意前阅读权限。 52. 修饰 talk 用副词 patiently。 53. data 与 use 为被动关系，且表示一般情况，用 is used。 54. In the future 提示一般将来时。 55. protect oneself，主语 people 对应 themselves。 五、书面表达（满分20分） 你校英文报正在开展“Data Literacy in Daily Life”主题征文。请你根据以下提示写一篇英文短文投稿。 内容包括： (1) 说明数据素养的含义和重要性； (2) 举例说明学生在学习或生活中如何理性使用数据； (3) 提出保护个人信息的建议； (4) 呼吁同学保持独立思考。 写作要求： (1) 词数不少于80； (2) 必须包括要点，可以适当扩充，但不能逐词翻译； (3) 文中不要提及真实校名和姓名。 提示：data literacy, reasonable, evidence, learning platform, permission, personal information, judgment, independent thinking ________________________________________________________________________________________________________________________ 【参考范文】 Data Literacy in Daily Life Data literacy means the ability to read, question and use data in a reasonable way. It is important because data now influences our study, shopping, transport and health services. As students, we should not believe every number at once. When a learning platform shows our weak points, we can use the report to make a review plan, but we should also think about the reasons behind the data. When we read a chart online, we need to ask where the data comes from and whether there is enough evidence. At the same time, we must protect personal information. We should read app permissions, use strong passwords and avoid sharing private screenshots. Data can help us, but human judgment is still necessary. If we use data carefully and keep independent thinking, we will become wiser learners in the digital age. 【词汇积累】data literacy 数据素养；reasonable 合理的；evidence 证据；learning platform 学习平台；permission 权限；personal information 个人信息；judgment 判断；independent thinking 独立思考。 【句式拓展】1. It is important because data now influences our study, shopping, transport and health services. 可替换为：Its importance lies in the fact that data has entered many parts of our lives. 2. If we use data carefully and keep independent thinking, we will become wiser learners in the digital age. 可替换为：Careful data use and independent thinking will make us wiser learners in the digital age. 【点睛】范文围绕数据素养展开，先定义概念，再说明学习平台和网络图表中的理性使用，最后提出权限、密码和隐私截图等安全建议，层次清楚。 原创精品资源学科网独家享有版权，侵权必究！ 学科网（北京）股份有限公司 $ 编写说明：本套试卷紧扣《英语 拓展模块》（语文版2022版）教材，以教材单元为基准精准覆盖核心考点。 每个单元设置AB卷，A卷为基础巩固卷，侧重基础考点训练，帮助学生扎实掌握知识要点；B卷为能力提升卷，注重知识整合与全面检测，引导学生构建知识网络。全书设计4份综合测试卷，模拟实战情境，聚焦解题能力突破，全面提升应试能力与知识应用水平。 《英语 拓展模块》（语文版2022版）《单元过关卷》 Unit 8 Big Data B卷·能力提升 考试时间：120分钟 满分：100分 班级_____姓名_____学号_____成绩_____ 一、情景交际（共15小题；1—10题每小题1分，11—15题每小题2分，满分20分） 第一节 从 A、B、C、D 四个选项中选出一个可以填入空白处的最佳选项。（共10小题，每小题1分，满分10分） 1. —Our app asks for my location even when I only read articles. What should I do? —_______. A. Accept every request at once. B. Post your location online. C. Check the permission and turn it off if unnecessary. D. Delete all learning records forever. 2. —How did the bank know that I might need a travel card? —_______. It may analyse your recent transactions and service history. A. By using customer data responsibly. B. By guessing your dream without information. C. By refusing to process any record. D. By asking strangers in the street. 3. —I think big data means collecting as much private information as possible. —_______. Useful data collection should have a clear purpose and rules. A. Exactly. B. That is always true. C. No problem. D. I do not think so. 4. —Which factor best shows “variety” in big data? —_______. A. The data is produced quickly. B. The data includes text, pictures, locations and numbers. C. The data is stored in one small notebook. D. The data is deleted before analysis. 5. —The city wants to adjust bus lines with traffic-flow records. —_______. A. That has nothing to do with data. B. That will make buses disappear. C. That is a practical use of big data. D. That means no one needs transport. 6. —May I use the class survey results in my report? —_______. Do not include names or phone numbers. A. Yes, but protect personal information. B. No, because data can never be used. C. Yes, and publish every detail. D. No, but you may copy passwords. 7. —Personalised learning sounds useful. Does it mean the platform knows everything about me? —_______. It should only use necessary learning data with permission. A. Yes, it can take all private photos. B. No, it must ignore your progress. C. Yes, rules are not needed. D. Not really. 8. —What should we do before clicking a link in an unknown data report? —_______. A. Click it immediately. B. Check the source carefully. C. Share it with every group. D. Enter your password first. 9. —Big data can predict what users may need. Is prediction always correct? —_______. Human judgment is still needed. A. No, it is not. B. Yes, every prediction is perfect. C. Data never makes mistakes. D. People should stop thinking. 10. —Our team has collected numbers, pictures and short comments for the project. —_______. Now try to organise them before analysis. A. You have only one kind of data. B. You should throw them away. C. You have data in different forms. D. You cannot analyse anything. 第二节 读下面一段对话，从方框中所给的 A、B、C、D、E、F 和 G 七个选项中选出可以填入空白处的最佳选项。（共5小题，每小题2分，满分10分） Tang Lin: We need to prepare a class debate. The topic is whether big data only brings benefits. Zhou Qian: _______ 11 _______ It brings convenience, but it may also cause privacy worries. Tang Lin: Let us start with benefits. Online learning platforms are a good example. Zhou Qian: _______ 12 _______ Teachers can notice who needs extra help. Tang Lin: For risks, I want to mention unnecessary data collection. Zhou Qian: _______ 13 _______ Clear permission should come before collection. Tang Lin: What about users themselves? Zhou Qian: _______ 14 _______ Tang Lin: Great. How shall we close the debate? Zhou Qian: _______ 15 _______ A. Learning records can be analysed to provide personalised guidance. B. People should give passwords to any website. C. They should read permissions and avoid sharing private details carelessly. D. Data security is never related to users. E. Big data serves us best when convenience and responsibility go together. F. We should take a balanced view. G. I agree because collecting more than necessary may hurt privacy. 二、阅读理解（共20小题；每小题2分，满分40分） 阅读下列短文，从题后所给的 A、B、C、D 四个选项中选出最佳答案。 A The Youth Digital Club is recruiting volunteers for a community activity named “Data for a Better Neighbourhood”. Volunteers will work in teams and help residents understand how data can improve services. Each team must follow privacy rules: do not record names, ID numbers or exact home addresses. Students may apply before June 3 and should choose the role that matches their strengths. Role Working Time Place and Limit Tasks Survey Helper June 8 8:30-11:30 Community Gate 16 students Count visitors by time period Ask general transport needs Use anonymous forms Map Reader June 8 14:00-17:00 Service Center 12 students Mark crowded bus stops Compare walking routes Prepare a simple map Health Reminder Designer June 9 9:00-11:00 Activity Room 20 students Use step-count examples Design healthy habit cards Explain personalised tips Privacy Guide June 9 18:30-20:30 Meeting Hall 25 students Introduce app permissions Teach strong passwords Answer safety questions 16. Which role has the smallest student limit? A. Survey Helper. B. Map Reader. C. Health Reminder Designer. D. Privacy Guide. 17. If Li Mei is free only on the evening of June 9, which role can she choose? A. Survey Helper. B. Map Reader. C. Health Reminder Designer. D. Privacy Guide. 18. What must all volunteers avoid recording? A. Names, ID numbers or exact home addresses. B. Time periods and general needs. C. Crowded bus stops. D. Step-count examples. 19. What task belongs to Health Reminder Designer? A. Prepare a simple map. B. Count visitors at the gate. C. Design healthy habit cards. D. Teach strong passwords. 20. What is the main purpose of the activity? A. To sell digital products to residents. B. To show how data can improve neighbourhood services safely. C. To collect exact addresses for a company. D. To stop residents from using apps. B A local newspaper recently reported how a vocational school used learning data to improve English support classes. In the past, teachers often chose extra exercises by experience. Some students felt the exercises were too easy, while others could not follow them. This term, the school tried a new method. With students’ permission, the platform collected general records, such as time spent on listening tasks, common wrong answers and review frequency. It did not collect chat histories or private photos. After four weeks, teachers found several patterns. Students who listened to short audio twice usually did better than those who listened once and moved on quickly. Many students made mistakes in words with similar sounds, but they did not review the mistakes within two days. The platform then grouped exercises by difficulty and reminded students to review at suitable intervals. Teachers also used the data to organise small workshops: one for pronunciation, one for reading long sentences and one for writing clear topic sentences. The result was encouraging, but the school did not call data a magic solution. Teachers still talked with students face to face because numbers could not explain every feeling or family situation. One teacher said, “Data can point to a problem, but care and communication help us understand the learner.” The report concluded that learning data should support teachers, not replace them. Used properly, it can make guidance more accurate and fair. 21. What problem existed before the new method was tried? A. Extra exercises did not always match students’ levels. B. Teachers refused to give support classes. C. Students had no English lessons. D. The platform collected private photos every day. 22. Which record was collected with permission? A. Students’ family addresses. B. Private chat histories. C. Time spent on listening tasks. D. Personal photo albums. 23. What pattern did teachers find about listening? A. Listening once was always enough. B. Long audio was useless for everyone. C. Students should never repeat audio. D. Students who listened twice often performed better. 24. Why did teachers still talk with students face to face? A. Because numbers could explain every feeling. B. Because data could not show every personal situation. C. Because the platform stopped working. D. Because students disliked all workshops. 25. What is the best title for the passage? A. Learning Data as a Helpful Guide. B. Why Teachers Should Be Replaced. C. Private Photos in English Classes. D. A School Without Communication. C Nora worked as an intern in a small online store. Her first task was to reply to customer messages, but she soon noticed a strange problem. Many customers asked the same question: “Will this bag fit a 14-inch laptop?” The product page had the size, yet people still felt unsure. The manager wanted to add a sentence saying “large enough for all laptops”, but Nora thought that was not careful because laptop sizes varied. She decided to look at the store’s data. She checked anonymous search words, return reasons and customer questions from the past two months. She found that customers did not only care about the number “14 inches”. They also cared about bag width, inner pocket shape and whether a charger could be put inside. Some returns happened because customers thought the photos made the bag look deeper than it really was. Nora suggested three changes. First, add a comparison table showing laptop size, bag width and inner pocket depth. Second, upload a short video showing how to place a laptop and charger. Third, change the recommendation from “for all laptops” to “suitable for most thin 14-inch laptops; please check the table before buying”. The manager accepted her plan. A month later, repeated questions decreased, and return rates dropped slightly. Nora learned that data analysis was not about making a loud promise. It was about listening to real needs hidden behind numbers and words. More importantly, she understood that honest information could protect both customers and the store. 26. What problem did Nora notice first? A. The store had no bags to sell. B. Customers could not open the website. C. The manager refused to answer messages. D. Many customers asked whether a bag fit a laptop. 27. Why did Nora disagree with “large enough for all laptops”? A. Because laptop sizes varied. B. Because the bag was free. C. Because customers never read words. D. Because photos were unnecessary. 28. Which data did Nora check? A. Customers’ ID numbers. B. Private home addresses. C. Anonymous search words and return reasons. D. Passwords of store workers. 29. What change did Nora suggest? A. Add a comparison table with clear size information. B. Delete all product photos. C. Promise the bag fits every laptop. D. Stop selling bags online. 30. What can we infer from the result? A. Honest details made customers more confused. B. Data analysis increased return rates greatly. C. The manager rejected every suggestion. D. Clearer information helped reduce repeated questions. D As big data becomes common, a new skill is becoming important: data literacy. It means the ability to read, question and use data in a reasonable way. A person with data literacy does not simply believe a colourful chart or a popular online claim. Instead, he asks where the data comes from, how it was collected and whether the conclusion is supported by enough evidence. Data literacy matters because data can influence decisions in study, work and public services. A student may choose a course after comparing employment information. A shop owner may prepare goods according to sales records. A city may adjust bus lines after analysing passenger flow. In these cases, good data can save resources and improve service quality. Poor or incomplete data, however, may lead to unfair or wasteful decisions. There are three basic steps to improve data literacy. First, read data in context. A number alone may not tell the whole story. If an app says “80% of users improved”, we should ask how many users were included and what “improved” means. Second, protect personal information. Useful analysis should not become an excuse for unlimited collection. Third, combine data with human judgment. Data may show what is happening, but people still need to decide what is right, kind and practical. Therefore, the goal is not to turn every student into a data scientist. The goal is to help everyone become a careful user of information. In a digital society, those who understand data can enjoy convenience without losing the ability to think independently. 31. What does data literacy mean according to Paragraph 1? A. The ability to draw colourful charts only. B. The habit of believing every online claim. C. The ability to read, question and use data reasonably. D. The skill of collecting private information quickly. 32. Which example shows data influencing public services? A. A city adjusts bus lines after analysing passenger flow. B. A student forgets to review notes. C. A person refuses to read any chart. D. A shop closes without records. 33. Why should we ask what “80% of users improved” means? A. To make the app more colourful. B. To understand the context and evidence behind the number. C. To avoid all useful information. D. To prove every number is false. 34. Which step is NOT mentioned for improving data literacy? A. Read data in context. B. Protect personal information. C. Combine data with human judgment. D. Collect unlimited private data for analysis. 35. What is the writer’s purpose in the last paragraph? A. To ask every student to become a scientist. B. To stop people from using digital services. C. To encourage careful and independent use of information. D. To say convenience is more important than thinking. 三、完形填空（共10小题；每小题1分，满分10分） 阅读下列短文，从短文后各题所给的 A、B、C、D 四个选项中，选出可以填入空白处的最佳选项。 During my internship at a community service center, I helped prepare a report about elderly residents’ transport needs. At first, I thought the job was only to count numbers. Later, I found it required careful thinking and respect _______ 36 _______ privacy. We used anonymous forms. Residents wrote down when they usually went to hospital, the bus stops they used most often, and whether they needed help reading route information. We were not allowed _______ 37 _______ names or exact addresses. My teammate wanted to ask more questions, but our supervisor said, “Collect only what is _______ 38 _______.” After organizing the forms, we discovered that many residents visited the hospital on Tuesday mornings. The nearest bus stop was crowded, and some people waited _______ 39 _______ than twenty minutes. We suggested adding a volunteer guide during that time and putting a larger route map near the stop. The plan sounded simple, but it was based on _______ 40 _______ information. The experience taught me a useful lesson. Data can make services _______ 41 _______ accurate, but it should never make people feel unsafe. If we use data _______ 42 _______ asking for permission, we may lose trust. If we only look at numbers and forget real people, our suggestions may be cold. Good data work means finding a balance _______ 43 _______ efficiency and care. It helps us solve problems, _______ 44 _______ it also reminds us to act responsibly. I believe this skill will become more important as digital services _______ 45 _______ in the future. 36. A. for B. at C. with D. by 37. A. record B. to record C. recording D. recorded 38. A. necessary B. private C. dangerous D. careless 39. A. many B. more C. most D. much 40. A. analyse B. analyzed C. analysis D. analyzing 41. A. more B. most C. much D. many 42. A. without B. through C. beside D. during 43. A. about B. between C. from D. above 44. A. but B. because C. or D. so 45. A. develops B. developed C. develop D. will develop 四、语法填空（共10小题；每小题1分，满分10分） 阅读下列短文，在空白处填入一个适当的词，或填入括号中所给单词的正确形式，并将答案写在对应处。 Data literacy is useful for students in a digital society. It helps them decide whether a chart or report is believable. Before accepting a conclusion, students should ask where the data _______ 46 _______ (come) from and how it was collected. They should also notice whether the number is large enough _______ 47 _______ support the idea. In daily life, data can bring many _______ 48 _______ (benefit). A transport app may show the fastest route, and a learning platform may provide exercises _______ 49 _______ match a student’s level. However, people need to be careful. Some apps collect _______ 50 _______ (much) information than they really need. Users should read permissions _______ 51 _______ they click “agree”. Good use of big data also requires human judgment. Numbers can show patterns, but they cannot decide what is kind or fair. For example, if a report says a student practises less than others, a teacher should talk with the student _______ 52 _______ (patient) before making a plan. The student may have a health problem or poor Internet connection. When data _______ 53 _______ (use) together with care, it can improve services. In the future, people who understand data _______ 54 _______ (make) wiser choices and protect _______ 55 _______ (they) better. 46._________ 47._________ 48._________ 49._________ 50._________ 51._________ 52._________ 53._________ 54._________ 55._________ 五、书面表达（满分20分） 你校英文报正在开展“Data Literacy in Daily Life”主题征文。请你根据以下提示写一篇英文短文投稿。 内容包括： (1) 说明数据素养的含义和重要性； (2) 举例说明学生在学习或生活中如何理性使用数据； (3) 提出保护个人信息的建议； (4) 呼吁同学保持独立思考。 写作要求： (1) 词数不少于80； (2) 必须包括要点，可以适当扩充，但不能逐词翻译； (3) 文中不要提及真实校名和姓名。 提示：data literacy, reasonable, evidence, learning platform, permission, personal information, judgment, independent thinking ________________________________________________________________________________________________________________________ 原创精品资源学科网独家享有版权，侵权必究！ 学科网（北京）股份有限公司 $