新闻听力 | 世界睡眠日:青年人睡眠问题引发关注

世界睡眠日:青年人睡眠问题引发关注Sleep Challenges Among Youth Highlighted on World Sleep Day 常速 | 六级 偏易| 246词 | 1min48s刘立军供稿Part I. QUESTIONSListen to the news and choose the best answer to each question you hear.Q1. What does the survey by the Chinese Sleep Research Society reveal about the change in average bedtime for Chinese people compared to last year?A. It is delayed by 17 minutes.B. It is advanced by 17 minutes.C. It has remained unchanged.D. It is delayed by 33 minutes.Q2. Based on wearable device data, what is the primary behavioral factor contributing to delayed sleep among college students?A. Irregular meal schedules.B. Increased academic workload.C. Social media addiction.D. Prolonged smartphone use.Q3. How does ‘revenge bedtime procrastination’ affect young people’s sleep habits?A. It helps them establish a consistent sleep schedule.B. It leads to sacrificing sleep for personal time.C. It encourages them to engage in physical exercise.D. It reduces the likelihood of sleep disorders.Q4. What can be inferred about Olympic gold medalist Li Yuehong’s sleep routine before competitions?A. He relies on white noise to improve sleep quality.B. He avoids aerobic exercises to reduce stress.C. He incorporates jogging to enhance his sleep.D. He sacrifices sleep to focus on training.Q5. What is the central theme of the passage?A. The role of technology in improving sleep quality.B. The prevalence and causes of sleep challenges among Chinese youth.C. The benefits of exercise in reducing stress and improving sleep.D. The significance of maintaining a strict sleep schedule.Part II. TRANSCRIPTSleep Challenges Among Youth Highlighted on World Sleep DayStudents at Shuibian Town Central Primary School in Jiangxi province took naps on World Sleep Day, March 21.take naps 睡午觉,小睡一下(Q1) A survey by the Chinese Sleep Research Society revealed that as of February, the average bedtime for Chinese people is 00:18 am, 17 minutes later than last year.About 80% of college students sleep after midnight, with 25% falling asleep after 2 am and 33% waking up after 9 am.(Q2) Data from over 150,000 wearable devices showed that prolonged smartphone use delays sleep among college students.Huang Zhili, president of the Chinese Sleep Research Society, emphasized that sleep is the cornerstone of a healthy life but noted rising sleep disorders, especially among young people.(Q3) Many young people experience ‘revenge bedtime procrastination,’ sacrificing sleep to regain personal time after busy days.procrastinate v. 拖延regain v. 恢复,重新获得A Zhejiang netizen shared her habit of scrolling through videos and reading novels late at night, while a Guangxi netizen admitted staying up playing on her phone as a form of retaliation against work stress.The survey found that 65% of participants experienced sleep issues weekly, including insomnia, waking up early, nighttime bathroom visits, and snoring.participant n. 参与者insomnia n. 失眠snore v. 打鼾Neurology expert Wang Zan highlighted that healthy sleep involves duration, efficiency, timing, regularity, and satisfaction.neurology n. 神经学To improve sleep, experts recommend a cool, dark room, white noise, consistent sleep schedules, and moderate exercise.(Q4) Olympic gold medalist Li Yuehong shared that aerobic exercises like jogging help him relieve stress and sleep better before competitions.aerobic adj. 有氧的 Part III. KEYQ1. A. 细节题。题目出处为“A survey by the Chinese Sleep Research Society revealed that as of February, the average bedtime for Chinese people is 00:18 am, 17 minutes later than last year.” 意为:“中国睡眠研究会的一项调查显示,截至今年2月,中国人的平均入睡时间为凌晨00:18,比去年晚了17分钟。”因此,正确答案为A。Q2. D. 细节题。题目出处为“Data from over 150,000 wearable devices showed that prolonged smartphone use delays sleep among college students.”意为:“来自超过15万台可穿戴设备的数据表明,长时间使用手机会延迟大学生的睡眠时间。” 因此,正确答案为D。错误选项分析:A错误,文中未提到饮食习惯与睡眠延迟的关系。B错误,文中未提到学业压力导致睡眠延迟。C错误,社交媒体未被单独提及。Q3. B. 细节题。题目出处为“Many young people experience ‘revenge bedtime procrastination,’ sacrificing sleep to regain personal time after busy days.” 意为:“许多年轻人经历‘报复性熬夜’,在忙碌的一天后,通过牺牲睡眠来弥补个人时间。” 因此,正确答案为B。错误选项分析:A错误,熬夜与保持一致的睡眠时间表相矛盾。C错误,熬夜与运动无关。D错误,熬夜可能增加睡眠障碍的风险。Q4. C. 推理题。题目出处为“Olympic gold medalist Li Yuehong shared that aerobic exercises like jogging help him relieve stress and sleep better before competitions.” 意为:“奥运金牌得主李越宏表示,有氧运动如慢跑有助于他缓解压力,在比赛前睡得更好。” 因此,正确答案为C。错误选项分析:A错误,文中未提到他依赖白噪音改善睡眠。B错误,他强调了慢跑对减压和改善睡眠的帮助。D错误,文中未提到他为训练而牺牲睡眠。Q5. B. 主旨题。文章主要讨论了中国青年人人面临的睡眠挑战,包括睡眠时间推迟、报复性熬夜、睡眠障碍等问题,同时给出了改善睡眠的建议。因此,正确答案为B。(本文图片来源于摄图网,版权归摄图网所有)

新闻听力|人工智能关键术语与概念

Important Terms and Ideas for Describing Artificial Intelligence慢速 | 四级 难 | 753词 | 7min41s刘立军供稿Part I. QUESTIONSListen to the news and choose the best answer to each question you hear.Q1. What is the main characteristic of artificial intelligence (AI)?A. Translating languages for communication.B. Relying on human intelligence to work.C. Processing data with statistical methods.D. Using psychology as its primary method.Q2. What is the role of an algorithm in computer operations?A. A simple set of instructions.B. It helps achieve goals but does not involve learning.C. A series of steps that helps achieve goals and allows learning.D. It is used in traditional programs, not AI.Q3. What is the purpose of reinforcement learning in machine learning?A. To classify data into specific groups.B. To improve by trial-and-error processes.C. To identify patterns in large datasets.D. To strengthen neural network layers.Q4. What is the unique feature of deep learning?A. Using many layers of neural networks.B. Relying on unsupervised learning.C. Avoiding the use of raw data.D. Focusing on simple machine tasks.Q5. What is one issue with large language models (LLMs)?A. They cannot generate accurate answers.B. They only focus on generating recipes.C. They are unable to process legal questions.D. They often create false or misleading data.Q6. What is the ultimate goal of artificial general intelligence (AGI)?A. Reproducing human thinking processes.B. Translating languages with accuracy.C. Discovering trends in large datasets.D. Replacing humans in various fields.Part II. TRANSCRIPTImportant Terms and Ideas for Describing Artificial IntelligenceThere are several terms experts use to describe computer systems in the field of artificial intelligence. Recently, the French News Agency (AFP) defined some of the common terms and ideas used in that field. Here is a version for English learners:intelligence n. 智力,智能Artificial intelligence The first term is “artificial intelligence.” When asked what artificial intelligence is, the AI-powered ChatGPT system says that the term means “the simulation of human intelligence in machines that are programmed to think, learn and make decisions”. (Q1) AI’s main quality or characteristic is taking in large amounts of data and then processing it using methods from statistics. AI involves using ideas from many fields including computing, mathematics, languages, psychology, and others. Currently, the technology is being used heavily for investigating health issues, translating human languages, and predicting problems in machine tools and self-driving cars. But AI is affecting many fields of business and industry.simulation n. 模拟,仿真Algorithm A second important term is “algorithm.” (Q2) An algorithm is important to all computer operations. It is a series of steps or instructions followed by a computer program to get a result. Algorithms can give rules for an AI’s behavior, helping it to realize the objectives of computer program developers. Unlike a simple computer program, AI algorithms permit a computer system to “learn” for itself.algorithm n. 算法,运算法则Machine learning A third important term is “machine learning.” Machine learning is one method that researchers have used in their efforts to produce artificial intelligence. Machine learning lets computers learn from data without being directly programmed on what results to produce. In recent years, the field of neural networks has given important results. In a neural network, connections between some nodes are strengthened and others weakened as the system learns and makes changes. Learning can be “supervised.” This means the system learns to put new data into specific groups based on a model. For example, the system could learn to identify spam in an email or other messaging programs. “Unsupervised” learning permits the system to independently discover new areas or ways of doing things. These discoveries in the available data might not have been immediately clear. An example would be letting an online store identify buying trends in sales data. (Q3) “Reinforcement” learning adds a process of repeated trial-and-error. In this process, the system is rewarded based on its outcomes, causing it to learn and improve. One example might be a self-driving vehicle whose objective is to reach its destination as quickly as possible but also safely. That requirement would lead it to learn to stop at red lights although it requires additional time.neural adj. 神经的node n. 节点spam n. 垃圾邮件Deep learning (Q4) Deep learning owes its name to its use of many layers of neural networks. Raw data is examined by each layer in turn at growing levels of abstraction. Geoffrey Hinton received the 2024 Nobel Prize in Physics. Hinton is credited with developing deep learning. Hinton received the prize along with 1980s neural-network developer John Hopfield. Francis Bach, head of France’s SIERRA statistical learning laboratory, said this about deep learning: “The more layers you have, the more complex behavior can become, and the more complex the behavior can be, the easier it is to learn a desired behavior efficiently.” The method might help lead to scientific discoveries.Language models We now turn to large language models (LLMs). These might be the most popular example of generative AI. Large language models’ power tools like OpenAI’s ChatGPT or Google’s Gemini. Such systems are able to write long papers, answer legal questions or even produce a cake recipe based on their statistical models. But the technology is still new. (Q5) LLMs can suffer from “hallucinations” — the creation of content that is false or incorrect.hallucination n. 幻觉,虚构内容Artificial general intelligence A final important term is artificial general intelligence (AGI) — one the big goals of the whole AI field. (Q6) AGI suggests the unrealized dream of a machine able to reproduce all human processes of human thinking. People who push the idea include OpenAI chief Sam Altman and his competitors at Anthropic. They consider such a system to be within reach. The goal is to use large amounts of data and processing power to train LLMs that are increasingly powerful. But critics say that LLM technology has important limits, including its ability to reason. Maxime Amblard, computing professor at France’s University of Lorraine, told AFP last year, “LLMs do not work like human beings.” Amblard added that humans, as flesh-and-blood intelligent beings, are “sense-making machines” with different abilities from today’s computer systems.Part III. KEYQ1. C. 细节题。题目出处:AI’s main quality or characteristic is taking in large amounts of data and then processing it using methods from statistics. 意为:AI的主要特性是接收大量数据并使用统计方法进行处理。因此答案为C。Q2. C. 细节题。题目出处:An algorithm is ... a series of steps or instructions followed by a computer program to get a result. 以及AI algorithms permit a computer system to “learn” for itself.意为:算法是指计算机程序为获得结果而遵循的一系列步骤或指令;人工智能算法允许计算机系统“自主学习”。因此答案为C。Q3. B. 细节题。题目出处:Reinforcement learning adds a process of repeated trial-and-error. In this process, the system is rewarded based on its outcomes, causing it to learn and improve. 意为:强化学习添加了一个反复试验的过程;在这个过程中,系统基于其结果获得奖励,从而学习和改进。因此答案为B。Q4. A. 细节题。题目出处:Deep learning owes its name to its use of many layers of neural networks. Raw data is examined by each layer in turn at growing levels of abstraction. 意为:深度学习因其使用多层神经网络而得名;原始数据依次通过每一层进行更高层次的抽象分析。 因此答案为A。Q5. D. 细节题。题目出处:LLMs can suffer from ‘hallucinations’ — the creation of content that is false or incorrect. 意为:LLM可能会出现‘幻觉’——即生成虚假或错误内容。因此答案为D。Q6. A. 细节题。题目出处:AGI suggests the unrealized dream of a machine able to reproduce all human processes of human thinking. 意为:AGI表达了这样一个尚未实现的梦想——机器能够再现所有人类的思维过程。因此答案为A。 (本文图片来源于摄图网,版权归摄图网所有)

时文选读 | 全球大学对经济增长的贡献减弱

时文选读| 全球大学对经济增长的贡献减弱Universities are failing to boost economic growth四级 适中| 414词 刘立军供稿Part I. PassageIn the past few decades, universities around the world have grown quickly. The number of researchers working in universities has increased a lot. Since 1980, the number of academic papers published every year has become five times higher. Governments have spent a lot of money on universities because they believe that universities help the economy by creating new ideas and inventions for businesses and society.However, even with this growth, productivity has slowed down. In the 1950s and 1960s, worker productivity in rich countries grew by about 4% every year. But in the 10 years before the COVID-19 pandemic, it grew by only 1%. Even though we now have powerful technologies like artificial intelligence (AI), productivity is still not growing much.A new study by some economists suggests that there may be a link between the rise of universities and the slow growth of productivity. In the past, most big scientific discoveries were made by businesses, not universities. In the middle of the 20th century, companies like AT&T and General Electric spent a lot of money on research. These companies sometimes published more scientific papers than top universities. One reason for this was that strict competition laws encouraged companies to develop their own innovations.But in the 1970s and 1980s, competition rules became weaker. As a result, companies stopped investing as much in research and started depending on universities to do the work instead. The study says that moving from company-led research to university-led research has not helped productivity very much. Even though universities produce important studies, these studies are often hard for companies to use. One reason is that many companies no longer have their own research labs, which used to help different experts work together. Also, university researchers often focus more on getting academic success than on solving real-world problems.When universities do try to create useful inventions, the results are not always good. For example, university patents can sometimes stop companies from doing their own research. The study found that company patenting has gone down by about 1.5% each year because of competition from university start-ups. This means that public funding for university research might be hurting private research by companies.In the future, better teamwork between universities and businesses could help increase productivity. Stronger competition laws might also push companies to invest more in their own research again. But if university research does not clearly help the economy, governments may need to rethink how much money they spend on it.【Vocabulary】1. productivity n. 生产率;工作效率2. publish v. 发表;出版3. invention n. 发明;创造物4. patent n. 专利;专利权5. funding n. 资金;拨款Part II. QuestionsQ1. According to the passage, what was a reason for the decline in corporate research efforts in the 1970s?A. Universities had taken over the role of corporate research. B. Anti-monopoly laws had been strictly enforced. C. Competition policies had been relaxed. D. Corporate labs have been closed.Q2. What is a challenge universities face when engaging in real-world innovation according to the passage?A. Their research often focuses on academic recognition. B. Their patents are not recognized by businesses. C. Their research labs are not well-equipped. D. Their ideas are too difficult for businesses to apply.Q3. What is one problem caused by university patents, according to the passage?A. They help companies create more patents.B. They reduce the number of students in universities.C. They increase public interest in science.D. They make it harder for companies to do their own research. Q4. What can be inferred about the future of university research from the passage?A. It will continue to drive economic growth. B. It may face increased scrutiny from governments. C. It will replace corporate research entirely. D. It will lead to stronger collaboration with businesses.Q5. What is the main idea of the passage?A. Universities have failed to drive economic growth despite their expansion. B. Corporate research labs were more effective than universities in driving innovation. C. Governments should invest more in university research to boost productivity. D. Collaboration between universities and businesses is the key to future innovation.Part III. KEYQ1.【答案】C【解析】细节题。题目出处为“But in the 1970s and 1980s, competition rules became weaker. As a result, companies stopped investing as much in research and started depending on universities to do the work instead.” 意为:“然而,随着20世纪70年代和80年代竞争政策的放松,企业减少了研究工作,转而依靠大学来进行研究。” 因此,正确答案为C。Q2.【答案】A【解析】细节题。题目出处为“Also, university researchers often focus more on getting academic success than on solving real-world problems.” 意为:“此外,大学研究往往优先考虑学术认可而非实际应用。” 因此,正确答案为A。Q3.【答案】D 【解析】细节题。题目出处为“The study found that company patenting has gone down by about 1.5% each year because of competition from university start-ups.” 意为:“研究发现,由于大学初创企业的竞争,公司的专利申请量每年减少了约1.5%。” 因此,正确答案为D。Q4. 【答案】B 【解析】推理题。题目出处为“But if university research does not clearly help the economy, governments may need to rethink how much money they spend on it.” 意为:“然而,如果大学科研的经济效益仍然不明朗,政府可能需要重新考虑给予大学的财政支持。” 因此,可以推断大学研究未来可能会受到政府更严格的审查。正确答案为B。Q5. 【答案】A 【解析】主旨题。文章整体讨论了尽管大学在全球范围内经历了快速扩张,但生产力增长却放缓,大学研究未能有效推动经济增长。因此,正确答案为A。(本文图片来源于摄图网,版权归摄图网所有)

新闻听力 | 禽流感

禽流感Avian Influenza常速| 考研 偏易 | 701词 | 5min21s刘立军供稿Part I. QUESTIONSListen to the interview and choose the best answer to each question you hear.Q1. What is the main focus of this report?A. The benefits of vaccination against bird flu.B. The global economic impact of bird flu.C. The risks, concerns, and preventative measures related to avian influenza.D. The history of pandemics caused by different viruses.Q2. Why is the WHO concerned about avian influenza even though human infections are rare?A. The virus has no impact on animals.B. Each human infection is an attempt of the virus to establish itself in the human population.C. The number of human infections is extremely high.D. The virus is not evolving.Q3. What activities put people at risk of catching bird flu according to Dr. Wenqing Zhang?A. Consuming cooked poultry.B. Walking in the park.C. Gardening.D. Slaughtering, de-feathering, handling carcasses and preparing poultry for consumption.Q4. Based on the text, why might a dairy worker need to be aware of the risk of bird flu?A. Bird flu has recently been detected in cows in the US.B. Bird flu does not affect mammals.C. Dairy workers frequently handle raw poultry.D. Dairy farming increases the spread of the virus.Q5. According to the text, which foods should be avoided during an outbreak of avian influenza?A. Pasteurized milk.B. Raw milk, eggs, and meat.C. Thoroughly cooked eggs and meat.D. Canned vegetables.Q6. What should the public do to protect themselves during an outbreak according to Dr. Wenqing Zhang?A. Avoid going to crowded places.B. Take antiviral medication daily.C. Minimize contact with animals in affected areas.D. Get vaccinated immediately.Part II. TRANSCRIPTAvian InfluenzaVismita Gupta-Smith: We’ve been hearing about avian influenza or bird flu. (Q1) Why is WHO concerned about it? Who is at risk and how can you protect yourself? Here to talk about it is Doctor Wenqing Zhang. Welcome, Wenqing, talk to us about avian influenza and how it’s affecting humans.avian adj. 鸟(类)的;关于鸟(类)的Dr. Wenqing Zhang: Avian influenza or bird flu is a disease in birds caused by a virus. Sometimes the virus makes them sick, but sometimes the birds don’t get sick from the disease but act as carriers of the virus. We’ve also seen this virus in mammals such as foxes, minks, seals and sea lions, and most recently in cows in the US. In rare cases, people have also been infected when in contact with infected birds or mammals or contaminated environments.mink n. 水貂Vismita Gupta-Smith: So, Wenqing, if human infections are so rare, why is WHO concerned about it?Dr. Wenqing Zhang: So far, close to 900 human infections have been reported. (Q2) Although the number may appear not as big as many other outbreaks, we need to bear into mind is that each infection in human is an attempt of the virus to try to establish itself in human population. Although the chances are slim so far, as long as it succeeds once, just once, it is a start of an influenza pandemic, which can be as mild as the 2009 pandemic, but equally, it could also be devastating, like the 1918 one, also called the Spanish flu. That’s why, Vismita, we are concerned about the avian influenza and are watching it very closely.pandemic n.(全国或全球性)流行病;大流行病Vismita Gupta-Smith: Talk to us about who is at risk of bird flu.Dr. Wenqing Zhang: Anyone exposed to infected live or dead poultry or infected animals or contaminated environments such as live bird markets is at risk. (Q3) Slaughtering, de-feathering, handling carcasses and preparing poultry for consumption, especially in household settings, are also risk factors. So, if you are a poultry farmer or have chickens in your backyard, you need to be aware that you are at a potential risk of catching bird flu. (Q4) With avian influenza detected in cows in the US recently, if you are a dairy worker, you’ll also need to be aware that you are at a potential risk of catching bird flu.carcass n. 动物尸体;(尤指供食用的)畜体Vismita Gupta-Smith: Wenqing, we know that this virus is evolving constantly. Talk to us about how WHO is preparing countries for a possible pandemic.Dr. Wenqing Zhang: The risk of an influenza pandemic is persistent and is being watched closely by a long-standing global system called the Global Influenza Surveillance and Response System, also called GISRS. This system will rapidly detect an influenza pandemic virus once it enters into human population, and from there it will trigger a series of response, including the development of laboratory diagnostics and vaccines. In addition, WHO will rapidly release a series of practical guidance to countries tailored to the specific pandemic response needs.diagnostics n. 诊断学Vismita Gupta-Smith: So that’s why it’s important to keep an eye on the virus to see how it’s changing. Tell us in case of an outbreak, which foods are safe to eat?Dr. Wenqing Zhang: (Q5) Avoid consuming raw milk, eggs, and meat. Make sure you consume pasteurized or properly boiled milk and thoroughly cooked eggs and meat. If you’re handling raw products, make sure you wash your hands before and after, and follow other good food safety practices. This is, in fact, our standing advice, with or without avian influenza, because these practices protect you from many diseases.pasteurized adj.(牛奶等)巴氏消毒的Vismita Gupta-Smith: So, tell us what else the public needs to do in case of an outbreak to protect themselves.Dr. Wenqing Zhang: Be vigilant. (Q6) Minimize contact with animals in areas affected with avian influenza. Avoid contact with surfaces contaminated with animal feces. Strictly avoid contact with dead or sick animals, including wild birds. Report dead animals or request their removal by contacting local authorities. And wash your hands frequently and thoroughly, especially after contact with animals and their environments.vigilant adj. 警觉的;警惕的;警戒的;谨慎Vismita Gupta-Smith: Thank you, Wenqing. There you have it, Science in 5 today. Until next time then, stay safe, stay healthy and stick with science.Part III. KEYQ1. C. 主旨题。文章主要围绕禽流感展开,开门见山提出了“Why is WHO concerned about it? Who is at risk and how can you protect yourself?”,可知文章主要讨论了与禽流感相关的风险、担忧和预防措施。因此答案为C。Q2. B. 细节题。根据“...each infection in human is an attempt of the virus to try to establish itself in human population.” 可知每一次人类感染都是病毒试图在人类群体中立足的一次尝试,因此答案为B。Q3. D. 细节题。根据“Slaughtering, de-feathering, handling carcasses and preparing poultry for consumption, especially in household settings, are also risk factors.” 可知屠宰、拔毛、处理家禽尸体以及准备食用家禽等行为,尤其是在家庭环境中,会使人们面临感染禽流感的风险。因此答案为D。Q4. A. 推理题。根据“With avian influenza detected in cows in the US recently, if you are a dairy worker, you’ll also need to be aware that you are at a potential risk of catching bird flu.”可知因为最近在美国的奶牛中发现了禽流感,所以奶牛场工人也需要意识到自己有感染禽流感的风险。因此答案为A。Q5. B. 细节题。根据“Avoid consuming raw milk, eggs, and meat.”可知要避免食用生牛奶、生鸡蛋和生肉。因此答案为B。Q6. C. 细节题。根据“Minimize contact with animals in areas affected with avian influenza.” 可知在受禽流感爆发期间,公众要尽量减少与受影响地区动物的接触以保护自己。因此答案为C。(本文图片来源于摄图网,版权归摄图网所有)

新闻听力 | 古特雷斯:巴黎奥运会开幕式致辞

古特雷斯:巴黎奥运会开幕式致辞Video Message by António Guterres for the Opening Ceremony of the 2024 Summer Olympic Games常速 | 四级 中等 | 高考 | 105词 | 42秒刘立军供稿Part I. QUESTIONSListen to the speech and choose the best answer to each question you hear.Q1. Where are the 2024 Summer Olympic Games being held?A. London.B. Tokyo.C. Paris.D. Rio de Janeiro.Q2. What ideals do the United Nations and the Olympics both promote according to Guterres?A. Economic development and prosperity.B. Mutual respect and fair play.C. Scientific advancement and innovation.D. Political stability and governance.Q3. What does António Guterres urge people to do in the spirit of the Olympic Truce?A. Compete fiercely.B. Conserve resources.C. Focus on winning medals.D. Lay down their arms.Q4. What is the main idea of Guterres’ speech at the opening ceremony of the 2024 Summer Olympics?A. Encouraging economic cooperation among nations.B. Celebrating the achievements of past Olympians.C. Promoting peace and unity through sports.D. Highlighting the technological advancements in sports.Q5. What can be inferred about the role of sports in international relations based on Guterres’ speech?A. Sports have the potential to bring people together and promote peace.B. Sports competitions are primarily about winning.C. Sports create significant economic benefits for host countries.D. Sports can replace traditional diplomatic efforts.Part II. TRANSCRIPTVideo Message by António Guterres for the Opening Ceremony of the 2024 Summer Olympic GamesBonjour and welcome to the 2024 Summer Olympic Games. Bonjour (法语)早上好;你好(Q1) The world gathers in Paris to celebrate the power of sport. To bring hope. (Q5-1) To transcend cultures. To unite people. transcend v. 超出,超越(通常的界限)(Q2) To promote mutual respect and fair play. These are also the ideals of the United Nations. (Q3) In the spirit of the Olympic Truce, I call on everyone to lay down their arms. (Q4) Build bridges. Foster solidarity. (Q5-2) foster solidarity促进团结And strive for the ultimate goal: peace for all. I wish every success to the Olympians and Paralympians. You inspire us to dream bigger. May the Olympic flame light the path to a world of peace and harmony. (Q5-3) Merci beaucoup.Merci beaucoup(法语)非常感谢Part III. KEYQ1. C. 细节题。根据“The world gathers in Paris to celebrate the power of sport.” 可知2024 年夏季奥运会在巴黎举办。因此答案为C。Q2. B. 细节题。根据“To promote mutual respect and fair play. These are also the ideals of the United Nations.” 可知联合国和奥运会都倡导促进相互尊重和公平竞争。此答案为B。Q3. D. 细节题。根据“In the spirit of the Olympic Truce, I call on everyone to lay down their arms.” 可知本着奥林匹克休战的精神,António Guterres呼吁大家放下武器。因此答案为D。Q4. C. 主旨题。根据整个演讲内容,尤其是“Build bridges. Foster solidarity... May the Olympic flame light the path to a world of peace and harmony.” 可知Guterres的演讲是围绕着通过体育促进和平与团结展开。因此答案为C。Q5. A. 推理题。根据“To transcend cultures. To unite people... Build bridges. Foster solidarity… May the Olympic flame light the path to a world of peace and harmony.”可知体育有超越文化、团结人民的力量,能为世界和平与和谐照亮道路,因此可以推断出体育有团结人们和促进和平的潜力。因此答案为A。(本文图片来源于摄图网,版权归摄图网所有)

新闻听力 | 世界睡眠日:青年人睡眠问题引发关注

世界睡眠日:青年人睡眠问题引发关注Sleep Challenges Among Youth Highlighted on World Sleep Day 常速 | 六级 偏易| 246词 | 1min48s刘立军供稿Part I. QUESTIONSListen to the news and choose the best answer to each question you hear.Q1. What does the survey by the Chinese Sleep Research Society reveal about the change in average bedtime for Chinese people compared to last year?A. It is delayed by 17 minutes.B. It is advanced by 17 minutes.C. It has remained unchanged.D. It is delayed by 33 minutes.Q2. Based on wearable device data, what is the primary behavioral factor contributing to delayed sleep among college students?A. Irregular meal schedules.B. Increased academic workload.C. Social media addiction.D. Prolonged smartphone use.Q3. How does ‘revenge bedtime procrastination’ affect young people’s sleep habits?A. It helps them establish a consistent sleep schedule.B. It leads to sacrificing sleep for personal time.C. It encourages them to engage in physical exercise.D. It reduces the likelihood of sleep disorders.Q4. What can be inferred about Olympic gold medalist Li Yuehong’s sleep routine before competitions?A. He relies on white noise to improve sleep quality.B. He avoids aerobic exercises to reduce stress.C. He incorporates jogging to enhance his sleep.D. He sacrifices sleep to focus on training.Q5. What is the central theme of the passage?A. The role of technology in improving sleep quality.B. The prevalence and causes of sleep challenges among Chinese youth.C. The benefits of exercise in reducing stress and improving sleep.D. The significance of maintaining a strict sleep schedule.Part II. TRANSCRIPTSleep Challenges Among Youth Highlighted on World Sleep DayStudents at Shuibian Town Central Primary School in Jiangxi province took naps on World Sleep Day, March 21.take naps 睡午觉,小睡一下(Q1) A survey by the Chinese Sleep Research Society revealed that as of February, the average bedtime for Chinese people is 00:18 am, 17 minutes later than last year.About 80% of college students sleep after midnight, with 25% falling asleep after 2 am and 33% waking up after 9 am.(Q2) Data from over 150,000 wearable devices showed that prolonged smartphone use delays sleep among college students.Huang Zhili, president of the Chinese Sleep Research Society, emphasized that sleep is the cornerstone of a healthy life but noted rising sleep disorders, especially among young people.(Q3) Many young people experience ‘revenge bedtime procrastination,’ sacrificing sleep to regain personal time after busy days.procrastinate v. 拖延regain v. 恢复,重新获得A Zhejiang netizen shared her habit of scrolling through videos and reading novels late at night, while a Guangxi netizen admitted staying up playing on her phone as a form of retaliation against work stress.The survey found that 65% of participants experienced sleep issues weekly, including insomnia, waking up early, nighttime bathroom visits, and snoring.participant n. 参与者insomnia n. 失眠snore v. 打鼾Neurology expert Wang Zan highlighted that healthy sleep involves duration, efficiency, timing, regularity, and satisfaction.neurology n. 神经学To improve sleep, experts recommend a cool, dark room, white noise, consistent sleep schedules, and moderate exercise.(Q4) Olympic gold medalist Li Yuehong shared that aerobic exercises like jogging help him relieve stress and sleep better before competitions.aerobic adj. 有氧的 Part III. KEYQ1. A. 细节题。题目出处为“A survey by the Chinese Sleep Research Society revealed that as of February, the average bedtime for Chinese people is 00:18 am, 17 minutes later than last year.” 意为:“中国睡眠研究会的一项调查显示,截至今年2月,中国人的平均入睡时间为凌晨00:18,比去年晚了17分钟。”因此,正确答案为A。Q2. D. 细节题。题目出处为“Data from over 150,000 wearable devices showed that prolonged smartphone use delays sleep among college students.”意为:“来自超过15万台可穿戴设备的数据表明,长时间使用手机会延迟大学生的睡眠时间。” 因此,正确答案为D。错误选项分析:A错误,文中未提到饮食习惯与睡眠延迟的关系。B错误,文中未提到学业压力导致睡眠延迟。C错误,社交媒体未被单独提及。Q3. B. 细节题。题目出处为“Many young people experience ‘revenge bedtime procrastination,’ sacrificing sleep to regain personal time after busy days.” 意为:“许多年轻人经历‘报复性熬夜’,在忙碌的一天后,通过牺牲睡眠来弥补个人时间。” 因此,正确答案为B。错误选项分析:A错误,熬夜与保持一致的睡眠时间表相矛盾。C错误,熬夜与运动无关。D错误,熬夜可能增加睡眠障碍的风险。Q4. C. 推理题。题目出处为“Olympic gold medalist Li Yuehong shared that aerobic exercises like jogging help him relieve stress and sleep better before competitions.” 意为:“奥运金牌得主李越宏表示,有氧运动如慢跑有助于他缓解压力,在比赛前睡得更好。” 因此,正确答案为C。错误选项分析:A错误,文中未提到他依赖白噪音改善睡眠。B错误,他强调了慢跑对减压和改善睡眠的帮助。D错误,文中未提到他为训练而牺牲睡眠。Q5. B. 主旨题。文章主要讨论了中国青年人人面临的睡眠挑战,包括睡眠时间推迟、报复性熬夜、睡眠障碍等问题,同时给出了改善睡眠的建议。因此,正确答案为B。(本文图片来源于摄图网,版权归摄图网所有)

第12届教学大赛商务英语组特等奖潘紫萌说课

说课点评:在30分钟的准备时间里,读完、理解一篇800多词的商务英语文章,记住文章的结构和要点,设计出一套有理论指导、教学理念清晰、目标合理、结构完整、方法得当,最好再带点创新的教学方案,然后在10分钟的时间里,用英语条理清晰地把它展示出来,这对任何商务英语教师来讲都是一项重大的挑战。潘紫萌老师首先分析了课文,根据内容将其解构成三大部分。选手将第二部分(第3-8段)归纳成 promotion, price and place 和将第三部分(第9段)归纳成对计划进入中国市场的外国企业的忠告,这都是正确的。但是,她把第一部分(第1-2段)归纳成product,进而把前两部分归纳成营销学中著名的4P战略,这种做法有待商榷。因为课文的第1段主要讲两个问题:1)营销战略如何在中国成功,2)这些战略如何根据中国人的喜好以及对产品或服务的认知进行调整,而不是具体的产品。也许是准备的时间非常紧迫,选手对课文的理解和归纳出现了偏差。然后,潘老师分析了学生的特点。在教学模式上,她采取以学生为中心、以产出为导向的教学模式。其教学目标包括商务英语知识、商务技能和伦理价值。在具体的教学方法上,她例举了基于任务的教学、基于讨论的教学、案例教学、学生参与的测评等,并强调要综合利用线上线下教学资源。在学习测评上,她采用师生共同参与的方式,以增强教学效果。至于具体的教学步骤,她采用BOPPPS模式,再加课后作业。以上教学方案应该说中规中矩,显示出潘老师对商务英语教学的理论、模式、方法和测评等各要素有比较全面的了解。潘老师最亮眼的表现是在10分钟的时间里,用流利的英语将其教学方案展现出来,而且条理清晰,相关的教学理论、教学方法、商务知识、商务案例均了然于胸,信手拈来,同时口到手到,同步将所讲内容写到白板上,手起笔落,一气呵成。在提问阶段,潘老师的表现依旧出色,理解到位,回答中肯,表现出较高的英语基本功和商务、人文素养。不过有的回答可以再精炼一些。比如在回答第一个问题时,把EGP,EOP,EAP,ESP 的定义都讲了一遍,有点啰嗦。总而言之,潘紫萌在说课中表现突出,是一位素质比较全面、经验比较丰富的优秀商务英语教师。点评专家:陈准民

第12届教学大赛英语专业组特等奖胡笑然授课

授课点评:胡笑然老师以充分的课前准备、认真的育人态度、专业的学科素养、科学的教学方法,在限定的20分钟时间内出色地完成了所指定的授课任务,为全国高校英语专业师生呈现了一堂值得学习和反思的短课。在整个授课过程中,胡老师精神饱满,着装端庄,形象甜美,教态自然,认真专注,热情友好,充满活力,展现了良好的个人魅力,体现了青年教师的时代风貌。胡老师具有扎实的英语基本功、娴熟的课堂掌控能力和应变能力、流畅的语言表达能力;综述简洁明了,呈现单元设计、教学目标、相关活动和拟用时间;授课有明确的目标,以学生为中心,围绕单元主题和语篇意义,突出重点,聚焦难点,讲解和引导规范适切。胡老师有自己的教学理念,能运用一定的教学理论,遵循“题材—功能—活动”的教学原则,重视语言感知和信息获取,围绕单元主题展开教学,各教学步骤衔接自然。能注重培养学生的观察力、想象力和分析能力,积极帮助学生通过语篇学习,了解重要概念以及语篇作者的观念和意图,努力激发学生对语篇主题的学习兴趣,师生之间有积极的互动和良好的交流。能充分利用和发挥电子课件的辅助教学功能, PPT和嵌入视频有良好的功能性和实用性,形式与内容相吻合,体现了课件形式与课文内容、教学手段与教学目的有机关联和主从关系,发挥了现代化教学资源及手段的教学辅助作用,增强了学生对单元主题和语言表述的理解。从整体上看,胡老师的授课比较成功。授课目的明确,授课重点突出,内容讲解清晰,活动安排合理,起承转合自然,师生互动自然,课件使用得当,教学效果较好。当然,她所展示的这堂英语短课仍存在以下待改进之处:授课停留在主题词语的概念解读层面,对主题意义的挖掘不够深入;教师个人主导成分太强,讲解和提问过多,学生活动不足,活动形式比较单一;时间把握不够合理,没有时间结尾,匆忙收课,无法安排课后作业和课外活动;授课时间用于教学,缺乏对教学成效的必要评价活动,难以确定单元教学目标的达成。建议胡老师在今后的教学研究和实践中,更加重视单元设计的完整性和课堂教学的有效性,关注输入与输出、课内与课外、语篇意义与语言形式的协调,注重教学手段、过程、效果的统一,促进学生在语言知识、语用技能、心智、情感、态度等方面的综合发展和提高。点评专家:梅德明

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外语学科优秀教学成果奖的培育、提炼与申报

2研修内容1. 教学成果奖的内涵与价值导向2. 教学成果奖的评审标准与要求3. 教学成果奖的选题设计、培育孵化与提炼升华4. 教学成果奖的申报流程与注意事项5. 教学成果奖申报书填写方法与案例分析6. 教学成果奖评审答辩的方法与技巧7. 教学成果奖创新点及工作思路的推广应用8. 教学成果奖重点成果转化经验分享孙会军上海外国语大学教授、博士生导师、英语学院院长,完成中国翻译研究院重点课题和国家社科基金资助课题,目前是两项教育部重大攻关项目子课题负责人。主要学术兼职包括中国翻译协会理事,中国比较文学学会翻译研究分会副理事长、秘书长;获得国家级教学成果奖二等奖,国家级一流本科课程主讲教师,两次获得上海外国语大学教育奖励基金一等奖;在国内外著名学术期刊发表论文60余篇。李庚靖原上海市教育科学研究院普教所培训中心主任,中学数学特级教师(2001年),教育科研特级教师(2014年)。先后在两所重点中学任教研组长、教导处副主任、教务处主任、主管教学的副校长(14年)。曾任教师进修学校书记、副校长(5年)、上海市普陀区科研室主任(10年)等职务,卢仲衡研究员主持的“中学数学自学辅导教学实验”团队重要成员,积累了丰富的教学研究实战经验,先后主持三届名师工作室。张俊翔南京大学教授、博士生导师、外国语学院副院长,兼任中国俄罗斯东欧中亚学会俄语教学研究分会常务理事、中国高等教育学会外语教学研究分会理事。研究领域为俄罗斯文学与文化、外语教育。主持和参与国家级和省部级社科项目7项,出版专著2部、译著14部,主编教材和文集4部,发表论文50余篇。获国家级教学成果奖一等奖、二等奖,江苏省教学成果奖一等奖,江苏省第十六届哲学社会科学优秀成果三等奖,首届俄罗斯当代文学作品中文翻译奖,入选南京大学“我最喜爱的老师”和“魅力导师”。胡美馨博士,浙江师范大学杰出教授、博导、博士后合作导师、外国语学院院长,主要从事外语教育与教师发展研究、儒学经典外译与传播话语研究。浙江省教学名师,浙江省高校创新领军人才,浙江省翻译协会副会长,浙江省外文学会副会长,中外语言文化比较学会常务理事。主持国家社科基金、教育部人文社科项目、浙江省哲社重点项目等多项。在《中国翻译》《外国语》等发表论文近30篇,出版著作4部。主持获得国家级教学成果二等奖、国家一流课程、国家一流专业。俞洪亮扬州大学二级教授、博士生导师。兼任江苏省人民政府督学、江苏省外国语言文学重点学科(A类)负责人、扬州大学外国语言文学一级学科博士点带头人,教育部高等学校大学外语教学指导委员会副主任委员(2014-2018、2018-2022),全国翻译专业学位研究生教育指导委员会委员(2016-2021、2021-2026),江苏省翻译协会常务副会长、江苏省外国语言学会副会长等职。主要研究方向包括二语习得、应用语言学、系统功能语言学、话语分析、课程教学论等。主持国家社会科学基金项目、江苏省社会科学基金及省高校人文社会科学基金重点项目等科研项目;主持江苏省教改课题重中之重项目、重点项目、研究生培养重大委托项目、教育部首批新文科研究与实践项目、教育部首批虚拟教研室试点等教改课题;主持建设国家级精品课程、国家级精品资源共享课、国家级一流专业和国家级一流课程、国家级规划教材等本科教学建设项目;发表论文出版著作60多篇(部)。曾获省部级教学科研成果奖励7项以及“江苏省先进工作者”“江苏省教育工作先进个人(教学名师)”等荣誉。祝庆东原上海市教育科学研究院普教所培训中心主任,中学数学特级教师(2001年),教育科研特级教师(2014年)。先后在两所重点中学任教研组长、教导处副主任、教务处主任、主管教学的副校长(14年)。曾任教师进修学校书记、副校长(5年)、上海市普陀区科研室主任(10年)等职务,卢仲衡研究员主持的“中学数学自学辅导教学实验”团队重要成员,积累了丰富的教学研究实战经验,先后主持三届名师工作室。4会务说明研修时间与活动地点线上研修:2025年5月10-11日,腾讯会议*报到须知等相关文件将于教师报名后一周内发至邮箱,请注意查收。研修对象与报名方式大、中、小学从事外语学科教学与研究的骨干教师及骨干管理人员,同时欢迎感兴趣的硕博士研究生参加,可点击右侧“我要报名”按钮,研修邀请函请在本页末尾下载。研修证书研修证书为电子证书。凡参加研修全部课程的学员均可获得由主办单位联合签章的研修合格证明。资费说明(1)收费标准线上研修:1480元/人,含学费、电子版资料费。(2)优惠政策同一单位5-9人报名本项目,享受研修费9折优惠,10人以上团报请联系会务组;非在职研究生享受研修费8.5折优惠。*以上优惠均不与其他优惠政策同享。(3)缴费方式推荐个人手机银行转账缴费或财务对公汇款缴费,银行账户信息如下:账户名称:上海外教社教育培训中心学杂费存取专户银行账号:1001 2744 2920 0087 510开户银行:中国工商银行上海市上外支行* 特别提醒:请至少在开班前3天完成汇款,以实际到款为准。汇款时请务必备注:“姓名+学校+教学成果申报”,请在汇款后,将您的缴费凭证照片发送至yanxiu@shisu.edu.cn,以便及时确认您的缴费信息。(若您无法通过上述方式缴费,也请通过邮件联系会务组:yanxiu@shisu.edu.cn。)发票事宜研修发票为电子发票,将在研修结束后统一开具,并发送至您报名时所填邮箱,请仔细填写邮箱地址。研修费发票由上海外教社教育培训中心开具,发票内容默认为“研修费”,如需开具“培训费”、“会务费”、“会议费”等内容,请您在报名时备注相关要求,并准确填写发票抬头、纳税人识别号。联系我们:地址:上海市大连西路558号901室电话:021-6542 7770 021-5538 6122 021-5539 3386电邮:yanxiu@shisu.edu.cn微信公众号:外教社教培发布

外语教师数字素养提升专项研修计划

第一期课程(5月24日)教师数字素养的理论依据、意识维度与实践路径课程简介:教师的数字素养是教师适当利用数字技术获取、加工、使用、管理和评价数字信息和资源,发现、分析和解决教育教学问题,优化、创新和变革教育教学活动而具有的意识、能力和责任。提升教师数字素养与技能,已经成为促进教师全面发展、以信息化赋能教育高质量发展的重要举措。为全面贯彻落实国家教育数字化战略行动部署要求,切实提升《教师数字素养》标准的理解深度与实践效能,上海外国语大学中国外语教材与教法研究中心联合上海外教社教育培训中心共同策划“教师数字素养的理论依据、意识维度与实践路径”高级研修班。本期研修将从教师数字素养构成的理论依据和意识维度出发,剖析国家标准对教师数字素养的具体要求,通过对《教师数字素养》等文件的全方位、多维度解读,帮助外语教师更新教育理念,提升数字教育的意识和水平,丰富教师数字化时代教书育人能力的学理内涵,助力外语教师将数字素养融入外语教学与研究全过程,实现数字化对教师专业发展的常态化赋能。本期研修课程内容包括但不限于:(1)《教师数字素养》标准的制定与解读(2)教师数字素养:内涵、外延与评价(3)中国外语教师的数字素养信念与实践路径(4)外语教学实践中的教师数字素养框架(5)数字素养与外语教师专业发展主讲专家:陈敏华中师范大学人工智能教育学部副教授,博士生导师,华中师范大学桂子青年学者,全国信息技术标准化技术委员会教育技术分技术委员会委员,《教师数字素养》标准主要起草人。主要研究方向为教师信息素养监测与评价、教育信息化评估、数字化学习资源设计与评价等。主持国家自然科学基金项目、教育部人文社科基金项目、湖北省教育科学规划重点课题等各类研究项目20余项;发表SSCI/ESI/EI/CSSCI论文50余篇,出版著作5部,获授权发明专利9项,软件著作权8项,作为主要起草人参与起草国家标准1项、教育部行业标准1项,获第十三届湖北省社科优秀成果奖、2022、2023年标准化工作优秀奖和优秀团队奖。胡杰辉电子科技大学教授,博士生导师,外国语学院院长,教育部高等学校大学外语教学指导委员会委员,兼任中国高等教育学会数字化课程资源分会副理事长等学术职务,入选国家高层次人才计划青年英才。主要从事认知神经语言学和应用语言学研究,主持国家社科、教育部人文社科、新文科建设等系列项目,主持大学外语课程群教育部虚拟教研室,主持“通用英语”国家级一流课程,主编大学英语系列教材,发表SSCI/CSSCI论文60余篇,获国家级教学成果二等奖。黄芳澳门大学教育学博士,上海外国语大学教授、博士生导师、致远卓越学者、教育学院副院长。荣获爱思唯尔(Elsevier)2023、2024年中国高被引学者,2024年全球前2%顶尖科学家。长期致力外语教学理论与实践、外语教师专业发展、技术赋能外语教学和跨文化外语教育等领域。主持并参与多项国家级、省部级项目,在SSCI期刊发表近40篇原创性学术论文,论文常见于 Computers & Education, Computers in Human Behavior, Computer Assisted Language Learning, System, Interactive Learning Environments, British Journal of Educational Technology, Educational Technology Research & Development等期刊。担任多个SSCI期刊审稿人及特刊编辑。任中国英汉语比较研究会语言智能教学专业委员会理事、中国高等教育学会智慧教育研究分会理事、教育部中外人文交流教育试验区专家指导委员会成员。赖春美国密歇根州立大学博士,香港大学教育学院副教授、博士生导师,语文研究与教育学部主任,Computer Assisted Language Learning、System和Language Learning &Technology 期刊副主编。研究方向为计算机辅助语言学习、课外自主语言学习及二语教学法。主持中国香港研究资助局研究基金项目课题多项,在国际期刊发表80多篇研究论文,并出版专著Autonomous Language Learning with Technology beyond the Classroom和Insights into Autonomy and Technology in Language Teaching。第二期课程(5月25日)人工智能背景下的外语类知识图谱课程建设课程简介:随着智能信息服务应用的不断发展,学科知识图谱已被广泛应用于教育领域。《教育部等六部门关于推进教育新型基础设施建设构建高质量教育支撑体系的指导意见》中明确提出:“系统梳理各学科知识脉络,明确各知识点间的关系,分步构建国家统一的学科知识图谱。对现有资源进行分类标识,匹配学科知识图谱。”作为一种语义网络,知识图谱在增强人工智能可解释性的同时,也为智慧教育体系框架的构建提供了有力支撑。知识图谱驱动教学提质效果显著,既有助于教师科学地制定教学策略,精准掌握学习者画像;也有助于学生智能规划学习路径,开展个性化自主学习。 在人工智能技术快速发展的背景下,建设专业化、智能化的知识图谱对推动外语教育高质量发展具有重要意义。为进一步贯彻落实《指导意见》,帮助外语教师充分理解、掌握、应用知识图谱技术,推进AI时代高校教学模式改革创新,上海外国语大学中国外语教材与教法研究中心联合上海外教社教育培训中心共同策划“人工智能背景下的外语类知识图谱课程建设”高级研修班。本期研修将通过主题讲座、案例展示与解析、互动交流等多种形式,帮助教师深入了解和掌握知识图谱的核心概念、构建方法和应用技巧,探索基于知识图谱的外语教学改革创新路径,打造高素质专业化创新型教师团队,提升外语教师数字素养,全力助推外语教育的数字化转型。本期研修课程内容包括但不限于:(1)大模型驱动的知识图谱范式重构与演进路径(2)外语学科知识图谱的特征、建构与应用(3)基于知识图谱的外语课程建设与教学创新设计(4)面向课程体系建设的外语学科知识图谱构建技术与方法(5)知识图谱赋能高校课程“教-学-评”一体化改革(6)知识图谱+AI智能工具赋能外语教育数字化转型主讲专家:李佐文教授,博士生导师,北京外国语大学人工智能与人类语言重点实验室主任、多语自然语言处理研究中心主任。教育部外语教学指导委员会英语分委会委员,全国话语语言学研究会会长,中国广播电视联合会影视译制与传播委员会会长,中国高等教育学会外语研究分会常务理事等。主要研究领域为话语语言学、计算语言学、语言教学等。在《外国语》《中国外语》《现代传播》《外语研究》等刊物发表论文70余篇,出版专著教材10余部。承担并完成国家社科项目,教育部重点项目,北京社科重大项目等多项研究课题。刘永厚北京师范大学教授,博士生导师,北京市优秀人才,曾获评北京市青年教学名师。北京师范大学优质本科课程“普通语言学”课程负责人,近期带领普通语言学教学团队完成课程的慕课和知识图谱课建设。主要研究方向为社会语言学、应用语言学、外语教育规划,曾在SSCI、CSSCI等国内外权威及专业期刊发表70余篇学术论文,出版3部学术专著,主持2项国家社科基金一般项目、1项国家社科基金重大项目子项目、2项教育部项目。目前担任中国语言学会社会语言学分会常务理事、中国英汉语比较研究会语言服务研究专委会理事、中国英汉语比较研究会生态语言学专委会理事,担任国家社科基金通讯评审专家、国家语委科研项目评审专家、教育部学位中心论文评审专家等。谢幼如博士,华南师范大学二级教授,博士生导师。国家级领军人才(特支名师),国务院政府特殊津贴专家。研究领域包括教育数字化、教育技术学、课程与教学论等。五度获得国家级高等教育教学成果奖,荣获首届全国教材建设奖。教育部普通高等学校本科教育教学评估专家、全国教师教育课程资源专家委员会委员、广东省本科高校在线开放课程指导委员会主任委员。严志军南京师范大学国际合作与交流处处长,南京师范大学法语联盟中方主任,外国语学院教授。比较文学与世界文学博士。曾获中加学者交流项目资助赴加拿大约克大学进行学术访问,并曾赴美国北卡州立大学从事教学访问。在南京师范大学国际合作与交流处负责中外合作办学、全球高校伙伴项目、学生海外学习、来华留学生培养、国际中文教育等事务,同时在外国语学院担任同声传译、翻译项目管理、写作等课程的教学任务。兼任江苏省翻译协会常务副会长和中国加拿大研究会会员。赵衍计算机学士、管理学硕士(知识管理研究)、法学博士(国家信息安全政策研究)、副教授、上海外国语大学信息技术中心主任、电子政务国际化研究中心主任。美国印第安纳大学、丹佛大学访问学者,担任MBA、金融科技、技术经济学等方向硕士生导师。主持上海市哲学社会科学课题、教育部产学合作协同育人课题、教育部新一代技术创新课题等省部级课题近10项,主持横向课题20余项,其他各类课题近20项。发表学术论文50余篇,出版《互联网时代的信息安全威胁》《网络虚假信息识别》《大数据时代的智慧教学——技术对教育的赋能与重塑》等专著。获得国家发明专利2项,主持国标、团标制定3项,担任中国教育技术协会外语专业委员会常务副会长、上海市教育技术协会外语专业委员会副会长、中国教育技术协会标准化委员会副主任、腾讯云行业大使/最具价值专家、上海市经信委专家等社会职务。第三期课程(6月2日)AI时代的混合式外语教学:理论与实践课程简介:随着教育数字化进程的不断推进与深入,智能技术、数字技术与外语课堂的深度融合有力促进了外语教学模式的推陈出新。混合式外语教学将传统的课堂教学与线上教学相结合,具有灵活性、个性化等特点。混合式外语教学模式不单是教育技术的更新迭代,更是AI时代外语教育发展的必然趋势。在此背景下,上海外国语大学中国外语教材与教法研究中心联合上海外教社教育培训中心共同策划“AI时代混合式外语教学:理论与实践”高级研修班。本期研修将涵盖混合式外语教学理论内涵与研究、混合式外语教学设计与实施策略,混合式外语教学评价设计与实践等内容,通过主题讲座、案例分析、互动交流等多种课程形式,帮助外语教师深化新技术与教学科研的有机融合,提升混合式教学绩效,推动有效混合式教学改革发展,实现外语教学的提质创新。本期研修课程内容包括但不限于:(1) 人工智能背景下混合式外语教学理论内涵与课程设计(2) 基于混合式教材的混合式教学设计与实施(3) 线上线下混合式外语教学的有效实践模式(4) 外语教师混合式教学形成性评价素养与发展路径(5) 混合式教学中的AI工具应用主讲专家:陈真真北京邮电大学教授,北京大学博士。北京市高教学会大学英语研究分会常务理事,中国科学技术史学会语言、文学与科学研究专业委员会理事,现任北京邮电大学国际处副处长,曾任人文学院副院长。研究方向为智能技术辅助语言学习、移动语言学习、二语写作、翻译与国际传播等,在《外语界》、Language Learning & Technology等发表论文20余篇,主持全国教育科学规划项目、教育部人文社科项目等课题多项,主编教材4部。曾获教育部课程思政教学名师、北京市青年教学名师、北京市高等教育教学成果奖二等奖、北京市优质本科课程主讲教师、北京邮电大学教学成果奖一等奖等奖项。多次指导学生在英语学科竞赛中荣获国家级、省部级一等奖等。胡杰辉电子科技大学教授,博士生导师,外国语学院院长,教育部高等学校大学外语教学指导委员会委员,兼任中国高等教育学会数字化课程资源分会副理事长等学术职务,入选国家高层次人才计划青年英才。主要从事认知神经语言学和应用语言学研究,主持国家社科、教育部人文社科、新文科建设等系列项目,主持大学外语课程群教育部虚拟教研室,主持“通用英语”国家级一流课程,主编大学英语系列教材,发表SSCI/CSSCI论文60余篇,获国家级教学成果二等奖。蒋晓鸣上海外国语大学语言科学研究院教授、博士生导师,爱斯唯尔“外国语言文学”高被引学者。主要从事心理与神经语言学的科学研究与人才培养工作。所主持课程入选上海市一流本科课程与重点课程建设。曾主持上海外国语大学外语教材研究院外语教材研究项目“面向线上与线下相结合的混合式教学的《神经语言学》教材设计与开发实践研究“。同时主持国家自然科学基金面上项目、曙光计划等项目,在Trends in Cognitive Sciences、《外国语》等SSCI/SCI与CSSCI期刊上发表近80篇学术论文,主编5本语言学跨学科著作。指导学生多次获得国家级大学生创新创业项目,指导语科院本科生发表SSCI论文。马晓雷国防科技大学军政基础教育学院军事外语系主任、教授、博士生导师。北京外国语大学外国语言学及应用语言学博士。军队院校外语协作联席会委员、中国语文现代化学会-语言治理研究会常务理事、湖南省教学指导委员会委员、湖南省学位委员会学科评议组委员、湖南省翻译协会常务理事、国防科技大学学科领军人才培养对象。主要从事国防语言、军事语言技术、军事外语教育等领域研究。曾获湖南省社会科学成果一等奖、湖南省教学成果二等奖、三等奖。2010年获评北京市优秀博士学位论文、2011年获评全国优秀博士学位论文提名。立三等功1次。孟亚茹西安交通大学外国语学院教授、博导,教育部本科教育质量评估专家、语言测试与评价专业委员会常务理事。研究方向为语言测试(认知诊断)、动态评估、外语教育技术和教师评价和反馈素养等。主持国家社科基金等项目多项,发表论文五十余篇,获奖三十左右。受邀担任System、 Language Assessment Quaterly、Applied Linguistics Review、《现代外语》、《外语与外语教学》、《外语教学理论与实践》、《现代外语》等期刊评审专家。第四期课程(6月15日)人工智能背景下多模态外语教学设计与实施课程简介:教育部《教育信息化2.0》行动计划明确要求实施智慧教育创新发展行动。多模态外语教学基于多模态话语分析理论,将语言、图像、声音、动作等多模态要素整合为最有效的意义表达和交流方式,并指导学生借助多模态手段建构意义。当下,人工智能技术与外语学科的深度融合,教师可更便捷地借助多种信息化手段,通过网络获取或AI生成大量图像、音频、文本、视频等符号资源,从而广泛地开展多模态外语教学和研究。为助力高校外语教师加快适应AI技术赋能的教育教学新变革,上海外国语大学中国外语教材与教法研究中心联合上海外教社教育培训中心共同策划“人工智能背景下多模态外语教学设计与实施”高级研修班,本期研修以理论与实践并重为原则,通过主题讲座、案例展示与解析,互动问答等多种形式,系统探讨人工智能时代多模态外语教学与研究中的若干重点议题,旨在帮助外语教师更加深入、系统地了解多模态教学理论与实践路径,提升教师多模态教学设计能力与数字素养。本期研修课程内容包括但不限于:(1)人工智能时代多模态外语教学设计与实施(2)外语教材的多模态分析与教学研究启示(3)多模态教学资源库的建设与应用(4)人工智能时代外语教师的多模态数字素养主讲专家:冯德正新加坡国立大学博士,现为香港理工大学英文与传意学系副教授,博士生导师,专业英语交际研究中心副主任,主要研究方向为多模态语篇分析,传播与交际研究,语言教学等,近期研究主要关注多模态中国话语及其国际传播。近年来在Studies in Higher Education, System, Journal of Pragmatics, Teacher and Teaching Education, Discourse and Communication, Pragmatics, Visual Communication等国际(SSCI/A&HCI)期刊与《外国语》《当代语言学》《现代外语》《外语界》《中国外语》《外语教学》等国内期刊发表论文80余篇,主持或参与10余项国家、教育部、香港政府及香港理工大学项目。担任SSCI一区期刊Journal of English for Academic Purposes书评主编、编委, Multimodality and Society等国际期刊编委。Christoph A. HafnerChristoph A. Hafner is Professor in the Department of English, City University of Hong Kong. He is the President of the Asia-Pacific LSP and Professional Communication Association and a past President of the Hong Kong Association for Applied Linguistics. He has published widely in the areas of English for specific purposes, digital literacies, and language learning and technology. His books include: The Handbook of English for Specific Purposes (2nd edition) (Wiley, 2025, co-edited with Sue Starfield), Understanding Digital Literacies: A Practical Introduction (2nd edition) (Routledge, 2021, co-authored with Rodney Jones); and English in the Disciplines: A multidimensional model for ESP course design (Routledge, 2019, co-authored with Lindsay Miller). He co-edits two book series: Routledge Research in English for Specific Purposes and Routledge Introductions to English for Specific Purposes (both with Sue Starfield).黄立鹤同济大学长聘教授,现任同济大学文科建设处副处长、同济大学语言学与多模态符号学研究所副所长、中国逻辑学会符号学专业委员会副会长等;主要从事老龄化与老年语言学、多模态、外语教育等研究,核心领域是基于多模态数据的语言认知健康与外语教育研究;主持国家社科基金一般项目、青年项目、重大项目子课题四项,教育部人文社科项目、上海市哲社规划课题、国家语委科研项目等其他各类纵向或横向项目二十余项;迄今在国内外发表论文、媒体文章、出版专著文集、获批咨政报告百余篇(部),科技转化与科创育人成果获评国家级奖项五项,入选国家高层次青年人才、上海市曙光人才、上海市东方英才青年项目、德国洪堡学者。蒋联江香港大学教育学院语文研究与教育学部助理教授,香港大学语言政策与实践研究联盟(CRLPP)副主任。研究多模态与多语素养,重点关注数码素养,数字化多模态写作,多模态评估与反馈。主持多项香港特别行政区研资局和教育局项目,研究经费逾300万港元。担任TESOL Quarterly研究传播编辑,TESOL Quarterly, Journal of Second Language Writing, Assessing Writing, Linguistics and Education等期刊编委会成员。入选科睿唯安全球前1%高被引研究者以及美国斯坦福大学和爱思唯尔全球前2%顶尖科学家榜单。

AI赋能外语实证类学术论文写作、修改与发表

AI赋能外语实证研究的选题、设计和方法创新主讲人:滕琳浙江大学外国语学院教授,博士生导师。研究主要围绕二语写作、自我调节学习、学习者心理情感特征、教师教育及教育信息技术等方面。获得浙江省哲学社会科学优秀成果一等奖等多项科研奖励。担任System客座主编,Journal of Second Language Writing国际期刊编委。成果见诸于Modern Language Journal、Journal of Second Language Writing、System、Applied Linguistics、Language Teaching Research、TESOL Quarterly等国际核心期刊。2021、2022、2023连续三年入选爱思唯尔外国语言文学领域“中国高被引学者”,2023年入选斯坦福发布全球前2%顶尖科学家榜单。课程目标:1.了解AI赋能外语实证研究热点2.掌握外语实证研究选题的前沿范式转换3.熟悉外语实证研究设计及方法创新4.通过案例了解不同类型实证研究的创新策略 第一部分:AI赋能外语实证研究选题及范式突破1.AI赋能外语实证研究热点与选题创新l外语实证研究内涵l外语实证研究热点话题l外语实证研究选题创新策略l案例分析2.AI赋能外语实证研究范式突破l外语实证研究前沿范式转换lSLA/SLT/ISA研究新思考l案例分析第二部分:AI赋能外语实证研究设计及方法创新1.外语实证研究设计及创新路径l外语实证研究设计典型范式l高质量研究设计的四要素l“点睛研究设计”的创新路径l案例分析2.AI赋能外语实证研究方法创新l外语实证研究创新方法l选题、设计与方法的“完美”融合lAI赋能外语实证研究的伦理思考l案例分析如何使用大语言模型进行文献综述与语言润色主讲人:王峰山东大学翻译学院教授、博士生导师、博士后合作导师,同济大学文学博士、布鲁塞尔自由大学应用语言学博士,国际韩礼德语言学研究会秘书长,山东省泰山学者青年专家。研究方向:功能语篇分析、语料库翻译学。主持国家社科后期资助项目1项、国家文旅部重点课题1项、省级课题4项。在Perspectives, Critical Arts, Humanities and Social Sciences Communications,SAGE Open, Psychology in the Schools, Australian Journal of Linguistics, Style, Target, Functions of Language, Chinese Semiotic Studies,《外国语》《中国外语》《中国翻译》《外语教学》《外语研究》《外语教学理论与实践》《外语电化教学》《外语导刊》《外语学刊》《上海翻译》等国内外核心期刊上发表论文40余篇。课程目标:1.掌握提升大语言模型输出质量的三大核心方法2.熟悉通用型与专用型AI工具在学术写作中的应用场景3.学会利用AI工具高效完成文献综述与语言润色4.通过实际案例了解学术写作全流程的AI辅助方法第一部分:提升大语言模型输出质量的“三板斧”1.小样本输入l什么是小样本输入(Few-shot Learning)?l如何通过提供少量示例优化模型输出质量l实操演示:在文献综述中应用小样本输入2.思维链展示l思维链(Chain-of-Thought)的概念与作用l如何引导大语言模型分步骤思考,提升逻辑性与准确性l案例解析:使用思维链优化复杂问题的分析与回答3.增强式检索l增强式检索(Retrieval-Augmented Generation, RAG)的原理l如何结合外部知识库提升模型输出的准确性与权威性l实操演示:在文献综述中应用增强式检索第二部分:大语言模型特色功能的学术写作应用1.通用型AI工具的特色功能与科研应用lDeepSeek、Kimi、豆包、通义千问等大模型的核心功能及特色l如何利用通用型AI工具进行文献检索、内容生成与语言修改、润色l案例展示:使用通用型AI工具完成学术写作的某一步骤2.专用型学术AI工具的特色功能及应用lConsensus、SciSpace、ScopusAI等工具的功能详解l如何利用专用工具进行文献分析、论文写作与查重l案例展示:使用专用工具快速定位高质量文献并生成综述3.学术写作全过程案例展示l文献检索:如何利用AI工具高效检索相关文献l泛读与精读:AI辅助快速提取文献核心内容l写作与润色:使用AI工具优化语言表达与逻辑结构l查重:AI工具在查重与降重中的应用大语言模型辅助质性研究的思路和策略主讲人:徐浩北京外国语大学教授、博士生导师。主要研究领域:二语习得、外语教育与教师发展。任中国教育学会外语教学专业委员会常务理事、中国语文现代化学会语言治理研究分会常务理事、全国基础外语教育研究培训中心副秘书长;《英语》(新标准)小学、初中修订版教材分册主编,高中英语修订教材编委;《英语学习》主编、《外语教育研究前沿》副主编、International Journal of Applied Linguistics副主编。课程目标:1.掌握大语言模型在质性研究设计中的深度辅助策略2.提升大语言模型在质性数据处理与分析中的协作能力3.培养质性研究者的人机协作能力与批判性思维第一部分:研究设计的全流程互动1.选题与研究范式选择l选题设想讨论l研究问题聚焦l研究范式选择l案例分析I2.数据收集工具的设计与开发l三类访谈的设计l预访谈的人机模拟l开放式问卷的开发l实战练习I第二部分:数据处理的全方位辅助1.概念框架的协作构建l为数据尝试不同的理论“滤镜”l操作性定义的论证与完善l案例分析II2.数据分析的三级辅助l数据分析过程的互动讨论l数据分析结果的综合与可视化l数据分析效度的人机协作检验l实战练习II如何用AI打破统计迷思,助力量化研究主讲人:杨艳超(澳门)中西创新学院国际语言服务研究院副院长,副教授,澳门大学哲学博士;香港大学教育学硕士。2022年负责的“英语听说数字化教学团队”获得省级普通本科院校优秀教学团队。此外担任省级线上线下混合式一流本科课程立项建设课程《英语语音》主持人;省级高校本科(全日制)精品在线开放课程《英语听力》主持人。两门课程均入选“国家高等教育智慧教育平台”首批推荐课程。先后于2017年、2019年获省级教育教学成果奖三等奖两项;曾获得中国外语微课大赛二等奖两项、三等奖两项;河北省高校外语微课大赛一等奖五项; 2021年度香港教育大学基于语料库教学设计大赛一等奖。主持省级教改两项,参与国家社科基金项目及教育部人文社会科学研究规划基金项目各一项、省级教改项目14项。先后于《上海翻译》、Turkish Online Journal of Educational Technology、European Journal of Education、PLOS One、Psychology in the Schools、Frontiers in Psychology、Language Teaching Research、Current Psychology、 Learning and Instruction、Asia Pacific Journal of Education、Early Years、SAGE Open、Psychology research and behavior management等期刊发表CSSCI、SSCI论文18篇。课程目标:1.熟悉统计方法选择2.掌握研究假设检验3.提升数据分析效率4.熟悉数据解读与结果分析5.掌握高效图表制作6.提升科研写作效率1.“统计方法有类别”: AI助力厘清统计应用场景通过AI技术,快速判断研究场景,精准选择统计方法(如单样本T检验、独立样本T检验、配对样本T检验、方差分析、协方差分析、卡方分析、相关分析),告别方法选择困惑,确保研究设计科学严谨。2.“统计方法有前提”: AI帮你明确研究假设通过AI技术,自动识别和明确每个研究方法所需的假设前提,如方差齐性、正态分布等,确保研究假设的合理性与准确性。3.“统计方法会操作”:AI助力掌握SPSS软件操作流程通过AI指导SPSS操作,即使是初学者也能轻松完成复杂的数据分析任务,减少操作失误,提升分析效率。4.统计结果会解读:AI辅助统计结果数据解读利用AI快速解读SPSS输出结果,自动识别P值、显著性水平、效应量等关键指标,避免误读和遗漏,确保分析结果准确可靠。5.统计结果会展示:AI赋能量化论文撰写利用AI自动生成数据分析报告和论文段落,优化逻辑与结构,帮助您快速完成论文撰写,节省大量时间与精力。大语言模型赋能审稿意见回复与论文修改主讲人:雷蕾博士,上海外国语大学教授、博士生导师。研究兴趣涉及语料库语言学、计量语言学、语言数字人文等领域。在剑桥大学出版社等出版专著5部,在Applied Linguistics、Journal of Second Language Writing、Language Teaching、Journal of English for Academic Purposes、International Journal of Corpus Linguistics、Corpus Linguistics and Linguistic Theory等SSCI期刊发表研究性论文近50篇、书评10余篇,其中两篇论文入选ESI高被引论文;在CSSCI期刊发表论文或书评10余篇。主持完成国家社科基金等项目多项。兼任Journal of English for Academic Purposes (SSCI) 等国内外期刊编委、Corpus-based Studies across Humanities(De Gruyter)副主编。入选爱思唯尔中国高被引学者、全球前2%顶尖科学家。课程目标:本讲座旨在帮助外语教师、中青年学者以及希望提高论文写作质量的外语研究者了解并掌握如何利用大语言模型有效地回复审稿意见和修改论文。1.了解大语言模型在学术写作中的应用场景,特别是针对审稿意见回复和论文修改方面的优势与局限2.掌握利用大语言模型进行语言润色、逻辑梳理、论证加强、以及回应审稿意见的技巧3.学习如何批判性地评估大语言模型的输出,了解大语言模型在学术伦理方面的潜在风险和应对策略课程提要:1.学术发表的挑战与大语言模型赋能的机遇2.大语言模型在论文修改中的应用:从语言润色到逻辑梳理3.大语言模型赋能审稿意见回复:高效精准地回应审稿人4.大语言模型在学术伦理方面的考量与实践建议

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