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)

教学素材 | 人生旅途轻装上阵

The Art of Traveling Light through Life人生旅途轻装上阵词汇:考研 | 句法:六级 | 文本:考研刘立军 供稿Ancient philosopher Socrates embodied simplicity, owning little and even forgoing shoes. Despite this, he frequented marketplaces not to acquire goods but to appreciate the abundance he could live without, as he famously noted to an inquiring friend. 古代哲学家苏格拉底以其简朴的生活方式著称,他几乎一无所有,甚至常常赤脚行走。然而,正如他曾对一位好奇的朋友所说,他经常光顾市场,不是为了购买商品,而是为了欣赏那些他能够舍弃的丰盛物资。In the context of travel, ‘traveling light’ means moving unencumbered by excessive belongings, which translates into a more pleasant journey with less burden and greater freedom. This idea extends beyond the physical realm into a philosophy for living. This concept encourages us to question what constitutes a life traveled lightly ― is it minimal ownership like Socrates, or is there more to it? 在旅行的语境中,“轻装上阵”意味着不被繁重的行李所累,从而享受更加轻松愉快的旅程,减少负担,获得更多自由。这一理念不仅仅局限于物质层面,它更是一种生活哲学。这种思想引导我们前去思考:什么是轻装上阵的生活——它是像苏格拉底那样过极简的物质生活,还是有更多的内涵?The tale of King Midas reveals that an insatiable desire for possessions can lead to downfall. His wish to turn everything to gold, granted by Dionysus, turns tragic when the things he treasures most are lost to his greed, teaching him the peril of material obsession. 迈达斯国王的故事向我们揭示了一个深刻的道理:对财富的贪得无厌可能导致灭亡。他祈求将一切变为黄金,这一愿望虽由狄俄尼索斯实现了,但当那些他最为珍视的事物因他的贪婪而失去时,这一愿望最终酿成一场悲剧,让他深刻体会到了痴迷物质的危险。Humans naturally accumulate more than necessary, often driven by an innate instinct for survival, from securing homes for shelter to stocking food against hunger. However, for some, this need tilts towards excess, acquiring vast properties and collections of vehicles far beyond necessity, echoing Midas’s folly. While possessions offer convenience, they can also anchor one’s life with responsibilities and maintenance demands, whether it’s the upkeep of a lavish villa or the financial strain of an expensive mortgage, trading freedom for security. 人类出于生存本能,往往会积累超过实际所需的物品,从确保住所的安全,到储备食物以防饥饿,皆出此因。然而,对一些人来说,这种需求逐渐演变为过度的占有欲,他们积累了大量远超必要的财产和车辆,重蹈迈达斯的覆辙。尽管拥有这些财物能带来便利,它们也带来了诸多责任和维护的需求,无论是豪华别墅的日常维护,还是高昂房贷带来的财务压力,都是在以自由换取所谓安全感。Epicurus argued that the pursuit of pleasure should not result in greater distress. Our attachment to both possessions and burdensome thoughts impedes progress. Ancient philosophies, such as Stoicism, Cynicism, and Buddhism, guide us toward letting go of these material and mental weights to alleviate our lives. 伊壁鸠鲁认为,追求快乐不应该导致更多的痛苦。我们对财物的执着以及内心的负担阻碍了我们的进步。斯多葛主义、犬儒主义和佛教等古老哲学都在教导我们:应学会放下这些物质和精神上的重负,让生活变得更加轻松自在。Desires and aversions exert their own weight, where fulfillment leads to contentment and a sense of lightness, while unmet desires breed dissatisfaction and burden. Philosophical traditions across Stoicism, Buddhism, Christianity, and Islam prioritize non-attachment to worldly goods, viewing them as distractions from a path meant for those unburdened. 欲望和厌恶会分别带来不同的负担:当欲望得到满足时,人们会感到轻松和满足;而未满足的欲望则会引发不满和沉重感。无论是斯多葛主义、佛教、基督教还是伊斯兰教,这些哲学传统都强调对世俗财物的淡泊,认为它们是那些追求心灵自由之人路上的障碍,只会分散他们的注意力。The minimalist approach isn’t only about reducing physical possessions but also mental clutter. Letting go of future anxieties and past regrets brings psychological lightness, enhancing our overall well-being and allowing us to navigate life with ease. 极简主义不仅仅意味着减少物质上的财物,它还包含洁净心灵上的杂念。放下对未来的焦虑和对过去的遗憾,可以带来心理上的轻松,进而提升整体幸福感,使我们更加从容地应对生活中的挑战。After periods of global turmoil, embracing a nomadic lifestyle underscored the value of minimalism. The capability to work remotely with minimal equipment exemplifies the physical and metaphysical lightness sought by many. Whether it be in a hotel room or traversing international borders, the ability to live and work with just a suitcase is liberating. 在全球动荡之后,拥抱游牧式的生活方式更加彰显了极简主义的价值。只需极少的装备即可实现远程工作,这体现了许多人所寻求的物质和精神上的双重轻盈。无论是在酒店房间,还是穿梭于国界线之间,仅凭一只手提箱便能自在生活与工作,这一能力赋予人们极大的自由。The agility afforded by traveling light is akin to the experience of playing games like Skyrim with a nimble character. In life, being agile equates to adaptability ― being able to change course rapidly without the encumbrance of possessions or obligations. Ultimately, true lightness is achieved when one’s mind is unburdened by worries and desires, transcending even the most minimalist lifestyle. 轻装上阵所带来的灵活性,就如同在玩《上古卷轴5:天际》游戏时操纵一个敏捷角色的体验。在生活中,灵活意味着适应能力——能够在不被物质所累或义务束缚的情况下迅速改变方向。最终,当一个人的心灵不再受忧虑和欲望所困时,真正的轻盈感就实现了,这种状态甚至超越了最简约的生活方式所带来的自由感。An uncluttered mind allows for a truly light life journey, wherein the absence of mental strain makes even the smallest suitcase seem weightless. 一颗没有杂念的心能让生活旅程真正变得轻盈起来,那时,即便是一个最小的手提箱,在没有精神压力的情况下,也仿佛轻如鸿毛。【词汇】1. forgo v. 放弃2. unencumbered adj. 无负担的;没有阻碍的3. the tale of King Midas 迈达斯的故事。传说,希腊神话中的弗里吉亚王迈达斯贪恋财富,求神赐予点物成金的法术,酒神狄俄尼索斯满足其愿望。最后连他的爱女和食物也都因被他手指点到而变成金子。他无法生活,又向神祈祷,一切才恢复原状。4. insatiable adj. 不知足的;无法满足的5. folly n. 愚蠢;愚笨6. upkeep n. 保养;维修7. villa n. 度假别墅8. Epicurus 伊壁鸠鲁,古希腊哲学家。9. Stoicism n. 斯多葛主义,古希腊罗马时期的重要哲学流派,强调理性、自律、坚忍以及接受命运。10. clutter n. 杂乱的东西;杂乱11. nomadic adj. 游牧的;流浪的12. metaphysical adj. 形而上学的;抽象的;玄学的 13. Skyrim 一款开放世界角色扮演游戏,全称The Elder Scrolls V: Skyrim(《上古卷轴5:天际》,简称《天际》或《上古卷轴5》),由贝塞斯达游戏工作室开发。14. nimble adj. 思路敏捷的;机敏的15. agile adj.机敏的,机灵的16. encumbrance n. 妨碍者;累赘;障碍物(本文图片来源于摄图网,版权归摄图网所有)

教学素材 | DeepSeek AI 是什么?为何如今备受瞩目?

What is DeepSeek AI and Why is it Gaining Attention?DeepSeek AI 是什么?为何如今备受瞩目?词汇:六级| 句法:六级| 文本:六级刘立军供稿Artificial intelligence (AI) continues to evolve rapidly, and a new AI model called DeepSeek is attracting significant global interest. Developed in China, DeepSeek has recently become the most downloaded AI app in the United States, even surpassing OpenAI’s ChatGPT. But what makes DeepSeek so popular, and how does it compare to other AI models? 人工智能(AI)持续快速进化,一款名为DeepSeek的新AI模型正在吸引全球的大量关注。这款在中国开发的DeepSeek最近成为了美国下载量最高的AI应用程序,甚至超过了OpenAI的ChatGPT。但是,是什么让DeepSeek如此火爆?它与其他AI模型相比有何不同?What is DeepSeek AI? 什么是DeepSeek AI?DeepSeek is an advanced AI model designed to generate human-like text and assist users with tasks such as answering questions, creating content, and solving problems. Like ChatGPT, it is built using machine learning techniques and large datasets. DeepSeek is available for free, with additional paid options for businesses. DeepSeek是一款先进的AI模型,旨在生成类似人类的文本,并帮助用户完成回答问题、创建内容和解决问题等任务。与ChatGPT一样,它是使用机器学习技术和大型数据集构建的。DeepSeek免费提供给用户,同时为企业用户提供付费选项。Although the exact details of DeepSeek’s technology are not fully disclosed, it is believed to focus on improving efficiency, accuracy, and contextual understanding in conversations. Some users have reported that DeepSeek processes queries faster and provides more precise responses than ChatGPT. 尽管DeepSeek的技术细节尚未完全公开,但它专注于提升对话中的效率、准确性和上下文理解能力。一些用户反馈称,DeepSeek处理查询的速度更快,并且相比ChatGPT能够提供更精确的回答。Why is DeepSeek Gaining Popularity? 为什么DeepSeek越来越受欢迎?Several factors contribute to DeepSeek’s rising popularity: 有几个因素促成了DeepSeek的日益流行:1. Advanced Performance: Users claim that DeepSeek provides more accurate responses and handles complex queries effectively. 先进性能:用户声称DeepSeek提供了更为准确的回答,并能有效处理复杂查询。2. Industry Specialization: Unlike general-purpose AI models, DeepSeek may be fine-tuned for specific fields such as healthcare, finance, and creative writing. 行业专业化:不同于通用型AI模型,DeepSeek可能针对医疗、金融和创意写作等特定领域进行了优化。3. Competition in AI Technology: As AI development becomes more competitive, new models like DeepSeek attract attention for their potential improvements over existing systems. AI技术竞争:随着AI发展的竞争加剧,像DeepSeek这样的新模型因其对现有系统的潜在改进而受到关注。4. Ethical and Safety Features: AI users are increasingly concerned about bias, privacy, and security. If DeepSeek prioritizes these aspects, it may appeal to a broader audience. 伦理与安全特性:AI用户越来越关心偏见、隐私和安全问题。如果DeepSeek重视这些方面,它会吸引更广泛的用户群。5. Free Access: DeepSeek offers a free-to-use version, making it accessible to a larger number of users. 免费访问:DeepSeek提供免费使用的版本,使更多的用户能够访问。How Does DeepSeek Compare to ChatGPT? DeepSeek与ChatGPT相比有何不同?While both DeepSeek and ChatGPT are powerful AI models, there are key differences: 虽然DeepSeek和ChatGPT都是强大的AI模型,但它们之间存在关键差异:1. Privacy and Data Security: DeepSeek is based in China and stores user data on Chinese servers. In contrast, ChatGPT is developed by OpenAI, based in the United States. 隐私与数据安全:DeepSeek位于中国,将用户数据存储在中国服务器上。相比之下,ChatGPT由位于美国的OpenAI开发。2. Training Data and Focus: DeepSeek may use specialized datasets for specific industries, whereas ChatGPT is trained on a broader range of internet content. 训练数据与焦点:DeepSeek可能使用特定行业的专业数据集进行训练,而ChatGPT则是基于更广泛的互联网内容进行训练。3. Processing Speed: Some reports suggest DeepSeek operates faster and requires less computing power than ChatGPT. 处理速度:一些报告显示DeepSeek运行速度更快,所需计算能力低于ChatGPT。4. Censorship and Content Restrictions: DeepSeek reportedly avoids discussing sensitive political topics, reflecting China’s internet regulations. 审查与内容限制:据报道,DeepSeek避免讨论敏感的政治话题,这反映了中国的互联网法规。Conclusion 结论DeepSeek represents the next generation of AI models, offering innovative features and strong competition to existing systems like ChatGPT. However, concerns about privacy, security, and reliability mean that users should carefully consider the risks before using the platform. As AI technology continues to advance, the competition between different models will shape the future of artificial intelligence. DeepSeek代表了下一代AI模型,提供了创新功能,并对现有的系统如ChatGPT构成了强有力的竞争。然而,对其隐私、安全性和可靠性方面的担忧依然存在,这意味着用户在使用该平台前应该仔细考虑相关风险。随着AI技术的不断进步,不同模型之间的竞争将塑造人工智能的未来。 【词汇】1. intelligence n. 智力,智慧;人工智能 2. effectively adv. 有效地;实际上 3. ethical adj. 道德的,伦理的 4. privacy n. 隐私,私密性 5. innovative adj. 创新的,革新的 (本文图片来源于摄图网,版权归摄图网所有)

新闻听力 | 汽车防盗指南

VOA慢速:汽车防盗指南How to Protect Your Car from Being Stolen慢速| 四级 | 高考 | 650词 | 4min54s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 primary feature of the car “fob” mentioned in the text?A. It has a long-range communication capability.B. It can unlock the car door as the owner approaches.C. It requires manual activation to send a signal.D. It can only be used within a few feet of the car.Q2. What is a potential vulnerability of the fob that thieves could exploit?A. The fob can be easily damaged.B. The signal from the fob can be cloned by thieves.C. The fob is too expensive for most car owners.D. The fob’s signal can only be sent when the car is unlocked.Q3. What does Steve Launchbury recommend to protect the car key’s signal?A. Storing the key in a Faraday bag.B. Keeping the key in the microwave or freezer.C. Frequently reprogramming the key.D. Using the car's touchscreen to secure the signal.Q4. What is one of the traditional methods to deter car theft that is still considered effective?A. Using a steering wheel lock.B. Hiding the key in the car.C. Painting the car to make it less noticeable.D. Disabling the car’s alarm system.Q5. What is a new theft technique that involves the car’s controller area network (CAN)?A. Jamming the CAN to prevent communication between car parts.B. Physically connecting to the CAN to send unlock or start signals.C. Using a Faraday bag to block the CAN’s signal.D. Cloning the CAN’s signal with a scanner.Part II. TRANSCRIPTHow to Protect Your Car from Being StolenMost recent cars have an electronic key that lets the owner get into and start the car.The electronic key is called a “fob” to those who know about the technology. (Q1) The fob sends a short-range signal to the car. As the owner gets close, the fob unlocks the door.(Q2) But the new technology also makes it easier for criminals to open the car without the key.When you lock your car and take the key with you inside your home, the fob does not stop sending its signal.Thieves, who have special equipment known as scanners, will pass by streets with a lot of cars. (Q2) If the scanner shows that a fob is sending a signal, the thieves use a device that clones the signal and opens the car doors.Government officials around the world have asked carmakers to warn car buyers of the risks of the new technology. They also have asked them to make the fobs more secure.Until then, what can you do to prevent your car from being stolen?Steve Launchbury has some suggestions he shared with the Associated Press. He is the head engineer of automotive security company Thatcham Research based in Britain. Place your key in a protective bag“It’s relatively easy for drivers to protect themselves,” he said.(Q3) The first tip is to put your key into a protective container or bag when you get home. One kind is called a Faraday bag. They are not very costly. The bag is made from a special metal material called mesh that blocks the signal from the fob. Just do not forget to put any extra keys you have into that bag, too.Some advice that is easy to find online says people should put their keys into the microwave or freezer to prevent their signal from being stolen. Launchbury said that does not work and it could harm your key.Get a steering wheel lock(Q4) You may have seen large locks that go across the steering wheel in television advertisements many years ago. It turns out they are still useful. They may be considered “old school,” but the presence of big locks that are easy to see makes car thieves turn away. The only problem is that you must take extra time to unlock the device and put it away before you can drive away.steering n.(车辆等的)转向装置Change the settingsSome car makers permit owners to deactivate the signal sent out by the fob. For Ford, Honda and Audi, owners can use their car’s touchscreen system to find the correct way to turn off the signal. For Toyota, you can turn off the signal by pressing a combination of buttons on the fob.Read your car’s owner’s manual to be sure how to do this.Some car makers include motion sensors on their key fobs. If the fob has not been moved in a while, the fob turns off.If you buy a used car, some experts suggest that you get your keys reprogrammed in case the earlier owner still has a key.New theft techniquesLaunchbury said some cars have a new system called a controller area network, or CAN. The network permits different parts, or components, of the car to communicate with each other. (Q5) He said some thieves are trying to join the CAN through some physical electronic connection to unlock the car. They can do this by removing a headlight and plugging in a device that lets them in the car’s network.The device can send a signal, such as “unlock” or “start” to the central system.Launchbury said this is where the physical lock can cause thieves to change their mind and force them to move on. Owners can also consider electronic immobilizers. These devices prevent a car from moving even if a thief gets into the internal system. However, immobilizers can be costly.Part III. KEYQ1. B. 细节题。根据:“The fob sends a short-range signal to the car. As the owner gets close, the fob unlocks the door.”意为:“fob向汽车发送短距离信号。当车主靠近时,fob会解锁车门。”这表明fob的主要特点是能够在车主靠近时自动解锁车门,答案为B。Q2. B. 细节题。根据:“If the scanner shows that a fob is sending a signal, the thieves use a device that clones the signal and opens the car doors.” 意为:“如果扫描器显示fob正在发送信号,小偷们会使用一种设备克隆信号并打开车门。” 这表明fob的一个潜在漏洞是其信号能被小偷克隆,答案为B。Q3. A. 细节题。根据:“The first tip is to put your key into a protective container or bag when you get home. One kind is called a Faraday bag.” 意为:“第一个建议是,当你回家后,把你的钥匙放入一个保护性的容器或袋子里。其中一种叫做法拉第袋。” 这表明Steve Launchbury推荐将钥匙放在法拉第袋中来保护汽车钥匙的信号,答案为A。Q4. A. 细节题。根据:“You may have seen large locks that go across the steering wheel in television advertisements many years ago. It turns out they are still useful.” 意为:“你可能在多年前的电视广告中看到过横跨方向盘的大型锁。事实证明,它们仍然有用。”这表明使用方向盘锁是一种传统的且仍然有效的阻止汽车被盗的方法,答案为A。Q5. B. 推理题。根据:“He said some thieves are trying to join the CAN through some physical electronic connection to unlock the car. The device can send a signal, such as ‘unlock’ or ‘start’ to the central system.”意为:“他说一些小偷正试图通过某种物理电子连接加入CAN以解锁汽车。该设备可以发送一个信号,例如‘解锁’或‘启动’到中央系统。” 这可以推断出一种新的盗窃技术涉及物理连接到CAN以发送解锁或启动信号,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)

新闻听力 | 美大学运动员将获薪

VOA慢速:美大学运动员将获薪US College Athletes May Soon Get Paid慢速| 四级 | 高考 | 6min7s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 role of the NCAA according to the text?A. It represents the interests of college athletes in legal cases.B. It is the organization that runs college sports in the United States.C. It is a group of schools that share television revenue.D. It is a federal agency that regulates education in the U.S.Q2. Why did the legal files argue against the NCAA and the conferences over the past 10 years?A. Because they were preventing athletes from joining labor unions.B. Because they claimed the athletes were not receiving fair compensation.C. Because the athletes were being treated as school employees.D. Because the athletes were being denied the right to vote on union matters.Q3. What does the settlement imply for the future status of student-athletes if approved?A. They will be considered employees of their schools.B. They will receive a one-time payment of $2.8 billion.C. They will be able to negotiate their contracts like professional athletes.D. They will be prohibited from receiving payments from outside groups.Q4. What is the main concern of the union representing the Dartmouth basketball players?A. The athletes should be allowed to receive payments from schools.B. The agreement does not clarify if student-athletes are considered employees.C. The settlement does not address the issue of equal pay for women.D. The NCAA should not be involved in the negotiation process.Q5. What is the potential impact of the settlement on less profitable sports, according to Tim Walton?A. They might receive a smaller share of the settlement funds.B. They will be dropped by the schools due to financial constraints.C. They will benefit equally from the new payment structure.D. They will be able to negotiate better contracts with the schools.Part II. TRANSCRIPTUS College Athletes May Soon Get PaidThe National Collegiate Athletic Association (NCAA) and the five biggest college sports conferences recently agreed to pay almost $2.8 billion to settle claims from college athletes.collegiate adj. 大学的;学院的;大学生的(Q1) The NCAA is the organization that runs college sports in the United States. It oversees about 500,000 college athletes from some 1,100 schools.The claims came up over the past 10 years. (Q2) The legal files argued that the NCAA and the conferences prevented college athletes from making money while playing sports for the schools.The greement calls for the NCAA and the conferences to pay $2.77 billion over 10 years to more than 14,000 former and current college athletes.The settlement still needs approval from a U.S. federal judge and different parties to the legal case. (Q3) If it is approved, students who play sports for their colleges will be permitted to be paid, like professional athletes, directly by the schools.Under current NCAA rules, college athletes, also known as student-athletes, can only receive payments from outside groups that use their names, images, and likenesses in commercial efforts, such as advertisements.In a statement, NCAA President Charlie Baker and the school representatives said the agreement was “an important step in the continuing reform of college sports.”Steve Berman, a leading lawyer in the cases, said with the settlement, “college athletes are finally able to receive a fair share of the billions of dollars of revenue that they generate for their schools.”Ramogi Huma, a strong supporter of college athlete’ rights, played football at the University of California, Los Angeles in the 1990s. He called the decision “groundbreaking”, adding that “there’s no going back from there.”More questions remainAlthough the decision provides a reason for celebration for some current and former students, it leaves more questions for others.Earlier in 2024, members of Dartmouth College’s basketball team voted to join a labor organization, called a union. The move means that the student-athletes on the team could have the right to negotiate a working contract like other university employees.Chris Peck is the leader of the union that represents the Dartmouth basketball players. He criticized the decision to settle by calling it “a workaround.”(Q4) Peck noted that the agreement, calling for universities to share money from television deals and ticket sales with athletes, does not answer whether students who play sports are school employees. The union wants a clear answer. Are students who play sports employees? Or, are they more like those who participate in non-study activities like singing in a group?Dartmouth has yet to accept the students’ union vote. And the NCAA is asking the U.S. Congress to step in and say student-athletes are not employees.Tim Walton coaches the women’s softball team at the University of Florida. The school belongs to one of the large conferences that will have to pay millions of dollars into the settlement.softball n. 垒球 (Q5) Walton wants to know what will happen to sports like women’s softball that do not bring in money like men’s football or basketball. He asked: “Are they dropping programs? Are they dropping sports?”In addition, there is a law in the U.S. known as Title IX that requires women and men to have equal rights in education. Does the law require female student-athletes to get paid like men?Michael LeRoy is a sports law professor at the University of Illinois. He said there will be a concern if “women get short-changed.”Christina Stylianou is a sports lawyer in New York. She and LeRoy both said regular payments from universities to students will make it easier for the students to argue that they are indeed employees.LeRoy said the NCAA would like to be able to pay student-athletes but not consider them employees. That, he noted, would mean the NCAA “is going to be treated differently than any other business in America. You cannot have separate pay.”But one college softball player, Tiare Jennings of the University of Oklahoma, did not seem too concerned about the legal questions. She was celebrating the fact that she might have some money saved after college.She said it will be nice for players to know they have money to, in her words, “kick-start your life.”kick-start v. 促使……开始;使(项目)尽快启动I’m Dan Friedell. And I’m Jill Robbins.Part III. KEYQ1. B. 细节题。根据:“The NCAA is the organization that runs college sports in the United States.”可知,NCAA在美国管理大学体育的组织,所以答案是B。Q2. B. 细节题。根据:“The legal files argued that the NCAA and the conferences prevented college athletes from making money while playing sports for the schools.” 意为:“法律文件认为NCAA和会议阻止了大学生运动员在为学校参加体育活动时赚钱。”也就是说运动员没有得到公平的补偿,因此答案是B。Q3. A. 推理题。根据:“...students who play sports for their colleges will be permitted to be paid, like professional athletes, directly by the schools.” 意为:“如果获得批准,为大学参加体育活动的学生将被允许像职业运动员一样直接从学校获得报酬。”可以推断,和解协议意味着如果获得批准,学生运动员可能会被视为学校的雇员,因此答案是A。Q4. B. 细节题。根据:“Peck noted that the agreement...does not answer whether students who play sports are school employees.” 可知,工会主要关心的问题是学生运动员是否被视为雇员,因此答案是B。Q5. D. 推理题。根据:“Walton wants to know what will happen to sports like women’s softball that do not bring in money like men’s football or basketball.” 意为:“Walton想知道像女子垒球这样不像男子足球或篮球那样赚钱的运动会发生什么。”可知,Tim Walton 担心像女子垒球这样不赚钱的运动项目可能会因为学校财务压力而被取消,因此答案是D。(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二等奖贺静授课

授课点评:贺静老师授课效果较好,教学目标清楚、教学方法得当、教学程序井井有条。此外,贺静老师口齿清晰,语音语调比较纯正、流利;教态端庄自然,有亲和力,教学过程中与学生互动良好,体现了以学生为主体,教师为主导的教学原则。授课分两部分。第一部分介绍该单元(Empire of Wealth)的总教学安排,用了3分30秒,时间把握得比较好。另外,设计的PPT形式多样,各种图表清楚展现了教学安排。授课开始的第三分钟,PPT显示的该单元总教学目标及三篇课文的教学目标一览无遗,加上贺静老师的阐释,清晰地传递了教学目标和学习目标,这能帮助学生在课堂内外围绕主题有效学习。紧接着,贺静老师借助PPT上的流程图比较详细地介绍了授课课文In Praise of Competitive Urges的教学安排,其中的Problem-centred教学方法对学生发现、分析和解决问题有很大帮助。之后进入第二部分:比赛授课阶段。第二部分具体授课含四个阶段。进入第一阶段Warm-up时,贺静老师显得有点紧张,但很快就调整好了状态。该阶段有教师对课文理解的提问,请学生从课文中找到相关的依据回答问题,这种做法本来值得称道,因为授课不能离开课文。但是,Warm-up阶段是课前准备阶段,因此,贺静老师在Warm-up阶段讲解课文不妥,建议把重点放在教材中的Warm-up Activities上,适当设计一些附加的活动,才符合教学逻辑。此外,在总时间为20分钟且第一阶段用了3分30秒的情况下,Warm-up阶段用了5分1秒显得有点过长。之后是第二阶段Questionnaire Results,贺静老师分析解释了调查表中的信息,谈了自己对问题的看法,期间激励学生思考、回答问题,这对培养学生的独立思考能力及理解课文非常有益。Questionnaire之后进入授课第三阶段:Wealth-flaunting Motivations / Summarizing。炫富动机是课文包含的核心内容之一。因此,讨论炫富动机有助于学生理解课文。教师要求学生从PPT上(视频13')显示的课文段落寻找答案,并要求学生做pair work找到有关的词汇。另外,通过分析课文的修辞寓意,贺静老师阐释了文章作者的真实目的。这一点做得很好。另一方面,根据该单元内容,所授的是“综合商务英语”课程。因此,贺静老师应更多围绕语言难点、篇章结构、写作风格、文法修辞等方面进行解释,让学生对课文有更深层次的理解。第四阶段Assignment在视频18'15"开始。课后作业包括questionnaire设计、调研报告写作、相关阅读作业。这样较好兼顾了综合商务英语课程语言学习和商务实践的教学特点。建议更多以教材内容教学为主,重视语言、篇章教学,在帮助学生充分理解课文的前提下掌握一些商务知识和技能;需要结合课文融入更多的思政教育内容。点评专家:翁凤翔

第12届教学大赛商务英语组特等奖潘紫萌授课

授课点评:潘紫萌老师在本次大赛中与来自全国各地的商务英语优秀教师展开激烈角逐,在教学理念、教学方法、课堂设计、英语素质、商务知识、教姿教态、师生互动等方面的表现都较突出,最后以总分第一荣获特等奖。潘老师以准确的英语发音先声夺人,丰富的表达方式、适中的语调语速和端庄的教姿教态也令人印象深刻。在课程设计环节,为实现其教学目标,她选择business ethics作为主题,介绍了教学目标、学生特征、以学生为中心和以产出为导向的教学理念,以及线上线下结合、传统和高科技媒体结合等丰富多彩的教学方式。这份介绍全面立体但简明扼要,为后面的演示(demo)课提供了一个很好的支撑。由于大赛的授课时间有限,潘老师突出重点,在演示课上只展示教学方案的第三步,即participatory learning 1 和 post assessment 1。她采用BOPPPS(bridge in, objectives, pre-assessment, participatory learning, post assessment, summary)模型,通过德国大众汽车减排作假、中国支付宝公益植树项目等案例,教学目标涵盖商务英语知识、技能、以及相关的伦理和价值观等。在短短的十几分钟里要达到这么多项教学目标绝非易事。潘老师通过一系列的短视频、多种教学方法(如听力填空、案例讨论、汉译英、样本对话补正等)以及活泼的师生互动,较好地实现了教学目标,显示出选手突出的课堂组织能力。商务英语教学起源于英美等国,因此基本使用本国素材、讲本国故事。传入中国后,主要使用外国素材、讲外国故事。令人欣喜的是,潘老师注意突出中国特色,多次引用中国案例,讲授中国故事,传播中国价值观。加上她出色的英语基本功和良好的师生互动,使得教学过程十分流畅,也没有不同文化同场展示的违和感。总而言之,潘紫萌老师在授课环节的各方面表现都很优秀。不足之处当然也有。首先, 8’13’’开始的讨论过于仓促,只有18秒, 8’31’’就结束了。由于讨论不充分,在随后的问答环节中,更多的回答似乎来自老师而不是学生。第二个是要增加教学过程的自然自发 (spontaneity)。不知是因为课前多次排练还是老师特意要求,学生的产出只有一次对话(17’40’’)相对自然,其他的多次回答虽准确无误,但都像中国小学生朗读课文或回答问题,语音、语调、语速都过于整齐合一,这不利于培养学生的英语实际表达能力。点评专家:陈准民

教育培训更多

AI赋能大学英语教学:技术应用与改革创新工作坊

专题工作坊1:生成式人工智能如何重构语言教育新图景王萍 教授第一部分智能涌现:语言教学的挑战与转型1. AI对语言教学的挑战2. 外语核心能力培养的智能化升级思考3. AI赋能语言教学的变革机遇第二部分双模智能:指令型与推理型大模型的特性与应用1. 生成式人工智能与大语言模型 (LLMs)的技术演进图谱2. 指令型大模型:特点与典型模型3. 推理型大模型:特点与典型模型4. 两类模型的对比分析第三部分融合创新:大语言模型赋能外语教学的多维实践1. 双模应用:外语教学场景的精准映射(1)指令型大模型:语言教学的智能助手(2)推理大模型:语言教学的深度赋能2. 全技能覆盖:听说读写译的大模型融合策略与实践第四部分转型升级:AI语言教育的生态构建与行动方案1. 教学重构:AI驱动的课程设计与教学模式创新2. 能力进阶:教师AI素养与专业发展路径3. 行动方案:AI语言教育转型与实施路径第五部分实战赋能:大模型应用技能与实践操作1. 模型掌握:大语言模型操作与应用技能培训2. 实践演练:教学场景实操与案例构建工作坊预期成果1. 知识层面:参与教师全面理解指令型与推理型大语言模型的特点及其在外语教学中的应用潜力。2. 技能层面:掌握不同类型大语言模型的选择标准、操作方法及提示词工程技巧。3. 应用层面:根据不同教学目标设计AI辅助的教学活动,并将大语言模型有效融入听、说、读、写、译等教学环节。4. 创新层面:形成AI时代外语教学的新理念,能够持续探索人机协作的教学创新模式。 本工作坊通过理论讲解、案例分析、实操训练相结合的方式,帮助外语教师建立AI素养,掌握大语言模型的应用技能,培养将AI技术与语言教学深度融合的创新能力,从而更好地应对智能时代的教育挑战,提升教学效果。专题工作坊2:生成式人工智能赋能大学外语教育创新改革王海啸 教授一、工作坊目标本工作坊旨在帮助大学英语教师结合一门大学英语课程,系统了解生成式人工智能(GAI)在实际教学中的应用潜力,掌握如何将GAI技术融入教学的各个环节,从而提升教学效率、优化学生学习体验,并实现个性化教学目标。通过培训,教师将能够设计智能化教学方案,开发多模态教学资源,实施动态教学评价,最终推动外语教学改革与创新。二、工作坊主要内容1. 教学大纲:智能化设计与动态优化(1)应用概述:利用GAI动态分析学生语言水平与学习需求,生成个性化教学目标,并通过模块化设计优化教学大纲。(2)应用示例:•目标设定:通过GAI分析学生数据,动态调整课程目标,如为不同语言水平的学生制定个性化学习计划。•模块化设计:生成模块化课程大纲,灵活组合教学内容以适应不同教学需求。2. 教学设计:任务驱动与个性化学习路径(1)应用概述:结合任务型教学法与GAI技术,设计真实任务场景,规划个性化学习路径。(2)应用示例:• 任务型设计:通过GAI生成跨文化交流场景,学生完成模拟对话任务。• 学习路径规划:根据学生学习风格与兴趣,动态生成个性化学习计划并实时调整。3. 教学内容:多模态资源与动态生成(1)应用概述:利用GAI生成文本、音频、视频等多模态资源,满足不同学习风格需求。(2)应用示例:•多模态资源:设计“OrderingFood at a Restaurant”主题的教学材料,包括对话脚本、听力练习和互动任务。•动态生成:实时生成与时事热点相关的教学内容,保持课程吸引力。4. 教学材料:智能化生成与多样化呈现(1)应用概述:通过GAI快速生成个性化教学材料,支持课堂教学和学生自主学习。(2)应用示例:• 智能生成:为B1级学生设计一般过去式的语法讲解、听力材料和交互式练习。• 自主学习材料:生成旅行场景词汇表和模拟对话,供学生课后练习。5. 教学模式:线上线下融合与虚拟仿真(1)应用概述:结合线上学习与线下互动,利用虚拟仿真技术增强语言实践。(2)应用示例:• 混合式教学:线上学习词汇与语法,线下通过情景模拟任务(如机场对话)进行语言输出。• 虚拟仿真:通过GAI生成虚拟会议场景,学生参与跨文化交流练习。6. 教学方法:自主学习与协作学习相结合(1)应用概述:利用GAI设计自主学习任务和协作学习场景,提升学生语言综合运用能力。(2)应用示例:• 自主学习:学生通过GAI生成的听力材料和写作反馈工具完成个性化学习任务。• 协作学习:小组制定班级旅行计划,分工完成任务并用目标语言展示成果。7. 教学工具:智能平台与辅助工具(1)应用概述:通过智能写作平台、语料库与翻译工具、虚拟语伴等技术,提升语言学习效率。(2)应用示例:• 智能写作:利用GAI优化学生作文的语法、词汇和逻辑。• 虚拟语伴:学生与AI模拟真实对话场景(如餐厅点餐),提升口语流利度。8. 教学评价:实时反馈与个性化改进(1)应用概述:通过GAI实时评价学生语言输出,生成个性化学习建议。(2)应用示例:• 实时评价:课堂讨论中,GAI即时分析学生的语法和词汇使用,提供改进建议。• 个性化反馈:根据学生作文生成详细的语法与逻辑改进报告。三、预期成果1. 教师能力提升:参训教师将掌握GAI在外语教学中的核心应用方法,能够设计智能化教学方案并开发多样化教学资源。2. 教学效果优化:通过GAI技术的应用,教学效率和学生学习效果将显著提升,学生的语言技能与跨文化能力得到全面发展。3. 教学改革推动:培训将为外语教学改革提供实践经验,推动人机协同的创新教学模式在高校英语课程中的广泛应用。专题工作坊3:AI赋能的大学英语单元教学设计模式构建与实践冯豫 副教授本工作坊的设计特色1.理实结合:从理论阐释到实操示范、共享和演练2.多元互动:基于大学英语综合课单元设计的讲解和深入探讨,主讲教师和参训教师具化有机整体模式的构建,并在演示和互助学习的氛围中学会将AI工具有目的和贴切的融入。本工作坊的预期成果参训教师掌握AI赋能单元设计的基本方法与工具,形成可落实应用的并具有教师个人特色的AI赋能教-学-评模式本工作坊的核心理念与目标1.理念定位(1)秉持“教师主导、多元AI赋能”的教育理念(2)以教学基本原理为认知基础,构建师生协同意义共建型单元学习模式,促进学习者的语言能力、思维品质和个人素养的综合发展2.目标导向探索受理论启发、发挥教师主观能动性的AI技术与教学深度融合的个性化创新路径本期工作坊的内容1. 理论基础与框架梳理工作坊依据的教学基本原理,来自于教育心理学认知和学习理论、二语习得理论与教学设计互为印证的理论群组,同时结合《大学英语教学指南》的指导原则,明确单元设计的核心要素。2.AI赋能的整体性单元设计关键要素(1)目标设定:基于教育目标、课程要求、学情、单元学习成果的理解,构建具体、可测的单元教学目标,促进学生运用所学所思所能的个性化产出。(2)内容解读和选择:单元文本的主题意义解读与结构化梳理(3)活动设计:在单元主题意义的深入探讨中,展开层次分明、循序渐进、环环相扣的多元化教学活动(4) AI技术融合:了解目前一些国内外通用型和语言教学专用型AI工具, 教师与AI协同合作、优势互补,在教学设计与资源生成中将AI为我所用, 实现教学活动的个性化设计与精准化实施(5)工具与思维的深度互动和碰撞:教师的教学智慧与AI的技术效能相结合本期工作坊的教学形式1. 案例分享、解析和讨论 主讲教师展示人机协同实现的《大学英语进阶综合英语》多个单元的整体设计案例,并邀请参训教师分享创意、感想,丰富示范案例2. 小组互助实操AI赋能单元设计 回顾工作坊学习内容,尝试在AI辅助下进行一个指定单元的全新(或者重构)设计,讨论恰当融入AI工具的种类、方式和关切,并在AI助力下反思和精进自己的单元教学设计

第五届厦门大学口译教学开放课堂暨外语骨干教师高级研修班

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。李庚靖原深圳市教育科学研究院基础教育研究中心主任、正高级研究员、教育学博士,首届深圳市陶行知研究会常务副会长,深圳市教育国际交流协会副会长,全国“生活·实践”教育共同体粤港澳中心副主任兼深圳中心主任。长期从事基础教育教学成果培育、提炼与申报指导工作,撰写论文《从国家级教学成果奖看中学外语教学高质量发展方向》在《教学月刊·中学版》发表并被人大复印报刊资料《中学外语教学》转载。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。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”。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下研修:2025年5月9-12日(9日报到,10-11日研修,12日离会),江苏省淮安市线上研修:2025年5月10-11日,腾讯会议*线下研修具体地点及交通住宿等相关信息请见报名页面;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)收费标准线下研修:1980元/人,含学费、餐费、资料费等。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。住宿事宜本期研修的报到及举办地点为江苏省淮安市国联奥体明都酒店,地址:淮安清江浦区淮安生态文化旅游区通甫路9号。会务组为参会教师协调了酒店房间,会议期间房源紧张,请您务必在5月5日之前自行完成预订,会务组不代订!房间数量有限,先到先得。预订方式:将入住人姓名、学校、性别、入住日期、离店日期、房型(标间/单间,默认单住)等信息以电话/短信形式发送给酒店联系人(卜经理,电话:18105238882),收到确认回复即为预订成功。预订时备注参加“外教社淮安研修”,即可享有研修酒店房间协议价300元/晚/间(标间/单间,含双早餐)。交通事宜(1)淮安站出发至研修地点,乘坐出租车:约19.8公里,约30分钟;乘坐公交车:约1小时30分钟。(2)淮安东站出发至研修地点,乘坐出租车:约18公里,约22分钟;乘坐公交车:约1小时。(3)淮安南站出发至研修地点,乘坐出租车:约8.5公里,约18分钟;乘坐公交车:约1小时。(4)淮安涟水国际机场出发至研修地点,乘坐出租车:约36.5公里,约45分钟;乘坐公交车:约2小时。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

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