The Chat GPT AI, developed by the company Open AI, attracted 100 million users less than two months after first going public on 30 November 2022. Schools in the US and elsewhere are soon announcing bans on the recently released AI-powered chatbot out of fear that students could use the technology to complete their assignments. However, bans may be practically impossible given how difficult it is to detect when text is composed by Chat GPT. Is it instead time to rethink how students are taught and evaluated?
“Educators are starting to question what it means to assess student learning if an AI can write an essay or paper similar to or even better than a student would — and the teacher can’t tell the difference”, says Torrey Trust at the University of Massachusetts.
Removing technology from the classroom can mean undesirable consequences, such as creating more obstacles for students with disabilities, says Trust. Additionally, restricting access to Chat GPT on school networks and devices can’t stop students from using it at home and in libraries.
Instead of worrying about how Chat GPT could enable cheating, educators should ask what motivates students to cheat in the first place and work on developing relationships of trust, says Jesse Stommel at the University of Denver.
Aakash Chowkase at the University of California has explored using the AI to help with time-consuming tasks, such as creating lesson plans, writing letters of recommendation and developing and grading assignments. “Our ultimate goal is to help learners,” says Chowkase. Similarly, Trust has publicly shared slides intended to help teachers understand some of the promises and pitfalls of using Chat GPT in education. “I just wish educators could see that AI writing tools are going to be part of our future — and a big part of students’ future careers,” says Trust.
1. What can be learned about Chat GPT from paragraph 1?A.The use of Chat GPT has been widely banned worldwide. |
B.The current teaching method is outdated because of Chat GPT. |
C.Students benefit a lot from the assistance of Chat GPT. |
D.The popularity of Chat GPT is beyond expectation. |
A.The improper use of the technology. |
B.The difficulty of applying AI to school teaching. |
C.The lack of support of the company Open AI. |
D.The excellent writing ability of Chat GPT. |
A.It may bring about difficulties to some students. |
B.It is hard for the school networks to get access to Chat GPT. |
C.It will increase the chance of students cheating in their study. |
D.It can reduce the students’ use of Chat GPT both at home and school. |
A.Chat GPT should be applied to save time. |
B.Chat GPT might be unavoidable in students’ future. |
C.Educators should emphasize developing relationships of trust. |
D.Educators need to question the meaning of academic assessment. |
相似题推荐
【推荐1】Imagine a typical day in our lives, where our relationship with technology is a constant rollercoaster ride. Onemoment, we’re frustrated and burdened, convinced we can’t bear it any longer. But within moments, we realize its necessary presence and how interconnected it has become with our existence.
Back in 1989, pop artist Keith Haring saw this relationship better than most. A complete set of limited-edition Pop Shop III Haring produced in 1989 reflects that understanding. The set recently sold for S125, 000 at Heritage Auctions (拍卖). The four images tell a story of people struggling with technology. In one image, a giant pair of scissors cuts the wire to a computer. In another, a person gets pulled into the machine trying to fix it. Yet another shows a person crazily trying to help.
It’s not surprising that Haring would predict our challenging relationship with the digital revolution. His art, with its seemingly simple style and its deeper themes of love, death, war, and social harmony, is desired by collectors.
The most paid for a Haring painting is $6.5 million for the piece Untitled (1982) in 2017.
Born in Reading, Pennsylvania, Haring was best known for striking graffiti-inspired drawings that took him from New York City’s streets, subways and clubs to museums and public spaces around the world. Haring created a unique drawing style based on the importance of the line. He filled his works with recognizable images like dancing figures, “radiant babies,” barking dogs, and flying objects, and integrated it with uncommon energy and optimism. Much like his teacher Andy Warhol, the focus of Haring’s career was to make art accessible to the public.
Haring died in 1990 at the age of 31, but his work — and our struggle with technology — lives on.
1. Why is the imaginary typical day mentioned in paragraph one?A.To present a fact. |
B.To clarify a concept. |
C.To introduce the topic. |
D.To make a prediction. |
A.It was Haring’s most paid artwork. |
B.It was Haring’s best known artwork. |
C.It shows Haring’s personal experience. |
D.It reflects people’s relationship with technology. |
A.Easily accessible and abstract. |
B.Singly-themed and plain. |
C.Socially conscious and expressive. |
D.Simply-styled and realistic. |
A.Haring and his artworks. |
B.Haring’s prediction about technology. |
C.Our love-hate relationship with technology. |
D.Haring and his life-long struggle with technology. |
【推荐2】Salt is important. But if we eat too much, it may cause some diseases, such as high blood pressure. That’s bad. We do, however, have to make sure we include salt in food that we eat every day. There are many kinds of salt you can buy. Some are cheap, others expensive. One of the many reasons that some salt is more expensive than others is that it contains more minerals. One of the finest salts you can buy is called bamboo salt and it’s made in South Korea.
When it comes to Korean food, you will probably think of kimchi. If you have ever tried kimchi, you will know that it can be salty. It’s unlikely that bamboo salt is used in the production of kimchi. But like kimchi, bamboo salt has a very long history. Koreans used bamboo salt thousands of years ago. Dr Kim Ⅱ Hoon began producing the bamboo salt we can buy today in the early twentieth century. When he died in 1992, his son took over. It takes a long time to produce. The process (工序) goes something like this.
Sea water is evaporated (蒸发), leaving the salt. This is put into three-year-old bamboo cases. The bamboo is covered with natural clay, rich in minerals, then baked for up to fifteen hours. The salt hardens and the bamboo burns away. The hardened salt is then ground into a powder (粉末). The process is repeated seven more times. It is then heated a ninth time up to 1,700 degrees Celsius. When the salt cools down, it is as hard as stone. Its colour has changed from grey to purple. The stone is once again ground down and is ready to use.
The repeated heating process removes the impurities (杂质) from the salt. The bamboo gives the salt sweetness not found in other salts. It is high in many minerals including potassium, phosphorus and iron. Bamboo salt is said to be good for many different illnesses. These include helping digestion (消化) and managing blood pressure.
1. What does the underlined word “That” in the first paragraph refer to?A.People having high blood pressure. |
B.Salt possibly causing some diseases. |
C.Some people taking in cheap salt. |
D.Salt being expensive. |
A.Its sweet smell. | B.Its use in medicine. |
C.The way it is made. | D.The minerals it contains. |
A.It was invented in 1992. |
B.It is widely used to produce kimchi. |
C.It was developed by Dr Kim Ⅱ Hoon. |
D.It can be produced in a very short time. |
A.The process of making bamboo salt. |
B.The way to harden the salt. |
C.Reasons for heating the salt. |
D.Advantages of bamboo salt. |
【推荐3】“I like pigs,” Winston Churchill supposedly once said. “Dogs look up to us. Cats look down on us. Pigs treat us as equals.” Whether Churchill’s contemporary George Orwell also liked pigs is less clear. But he, too, surely saw something in them that was lacking in many domestic (驯养的) animals, for it was they who ended up running the show in his novel, Animal Farm. Pigs, then, are intelligent social creatures.
And, like all animals, they sometimes fight. Some pigs tend to be attackers; others tend to be victims. Who is what depends largely on weight. Among pigs, pounds mean power. The attacker might bite, kick or push the victim. Most conflicts end in seconds, but some last a minute or two.
In most animal species fights would be like that. However, many of the conflicts among pigs Dr Norscia, a biologist, observed had interested parties beyond the fighters. He therefore wanted to understand the role of these bystanders in solving conflicts — and what this says about pigs’ cognitive (认知的) abilities.
Since there was usually not enough time for a bystander pig to become involved in the heat of a conflict, though this did occur, Dr Norscia looked at what happened in the three minutes immediately following a fight. Sometimes, he found, the fighters were reconciled with each other on their own. The more distantly related the fighters were, the more frequently this happened. Dr Norscia guessed that relations between close relatives are more secure to start with, so rebuilding friendly relations rapidly is less necessary for them.
On other occasions, however, a third pig stepped in. Sometimes this bystander interacted with the attacker, which reduced the number of attacks coming after. Sometimes, the bystander interacted with the victim. This appeared to calm the victim down, for it reduced anxiety-related behavior.
Social intelligence need not, though, be entirely selfless. Pigs are more likely to step in after a conflict if they are closely related to either the attacker or the victim. This is probably an example of kin selection (亲属选择), which favors the development of behavior.
1. Why are Churchill and Orwell mentioned at the beginning?A.To show their preference for pigs. | B.To add some related backgrounds. |
C.To introduce the topic of the text. | D.To present their attitude to animals. |
A.They last a little bit longer. |
B.They happen more often in the wild. |
C.Pigs with more pounds tend to be the victims. |
D.There would normally be audiences during the fights. |
A.Looked up | B.Made up. | C.Kept in touch. | D.Figured out. |
A.Offering comfort to victim pigs. |
B.Forming special bonds with strangers. |
C.Adjusting their behavior accordingly. |
D.Caring for others with selfless devotion. |
【推荐1】Developing new materials requires significant time and labor, but some chemists are now hopeful that AI could one day shoulder much of this burden. In a new study in the Journal of the American Chemical Society, a team used a popular AI model, ChatGPT, to perform one particularly time-consuming task: searching scientific literature. With that data, they built a second tool, a new model to predict experimental results.
Reports from previous studies offer a vast amount of information that chemists need, but finding and analyzing the most relevant details can be laborious. For example, those interested in designing highly porous, crystalline (晶体) metal-organic frameworks (MOFs) — which have potential applications in areas such as clean energy—must sort through hundreds of scientific papers describing a variety of experimental conditions. Researchers have previously attempted to let AI take over this task; however, the language processing models they used required significant technical expertise , and applying them to new topics meant changing the program. Omar Yaghi and colleagues wanted to see if the next generation of language models, which includes ChatGPT, could offer a more accessible, flexible way to extract information.
To analyze text from scientific papers, the team gave ChatGPT prompts (提示符) it through three processes intended to identify and summarize the experimental information the papers contained. The researchers carefully constructed these prompts to minimize the model’s tendency to make up responses, and to ensure the best responses possible.
When tested on 228 papers describing MOF syntheses (合成), this system drew more than 26, 000 factors relevant for making roughly 800 of these mixtures. With these data, the team trained a separate AI model to predict the crystalline state of MOFs based on these conditions. And finally, to make the data more user-friendly, they built a chatbot to answer questions about it. The team notes that, unlike previous AI-based efforts, this one does not require expertise in coding. What’s more, scientists can shift its focus simply by adjusting the narrative language in the prompts. This new system, which they call the “ChatGPT Chemistry Assistant,” could also be useful in other fields of chemistry.
1. What does the research team hope the new model to do?A.Search and classify scientific literature. |
B.Analyze data and predict laboratory findings. |
C.Prevent the model from making up responses. |
D.Generate a faster language processing system. |
A.To suggest their potential applications in clean energy. |
B.To illustrate the laborious analysis of scientific papers. |
C.To confirm they are of importance in chemistry industry. |
D.To stress the testing system is extraordinarily complicated. |
A.Secure. | B.Virtual. | C.Practical. | D.Specialized. |
A.Making the MOFs be more useful |
B.Doing further analysis for scientific papers |
C.Improving the language processing models |
D.Turning ChatGPT into a “chemistry assistant” |
【推荐2】To help astronauts of the future survive the mental challenges that come with living in space for extended periods of time, space travelers’ missions could soon be accompanied by AI-powered, empathetic (同理心的) robotic assistants.
Not only does space travel present astronauts with a lot of physical stresses, spending months or years in such a physically demanding place with limited space and the same people can also raise lots of mental tests as well. According to MIT Technology Review, scientists are wording to ease some of the mental challenges facing astronauts by creating “an AI assistant that’s able to feel human emotion and respond with empathy.”
While such a technology would prove itself useful by being able to predict the needs of crew members and “intervene (介入) if their mental health is in need of help, ”it has the potential to he life saving when humans choose to explore beyond the earth’s gravitational field and towards deep space.
Though astronauts currently on the International Space Station have an intelligent robot to interact with, it lacks proper emotional intelligence. As a result, a team at the organization’s Jet Propulsion Laboratory is working on a more advanced and complicated emotional support companion that can control a spacecraft’s functioning in addition to tracking crew member’s behaviors.
Right now in the lab, an AI-equipped robot called Henry the Helper can be found wandering around the grounds helping visitors who appear confused or lost based on their facial expressions. Two more emotionally intelligent robots are expected to be introduced later this year, one of which is said to be able to participate in conversations more complex than giving navigation (导航) assistance.
The team’s final goal is to make a companion named Fiona the Future a reality, an emotionally intelligent cross-platform system. Rather than being limited to a physical robotic device, it could be digitally integrated into space stations and habitats on Mars and beyond. Fiona, if all goes according to the JPL’s plans, will help keep astronauts of the future mentally fit as they start their journeys to deep space.
1. Why are the emotional support robots needed?A.To help astronauts get rid of physical stresses. |
B.To protect astronauts from emotional suffering. |
C.To achieve the mission of exploring deep space. |
D.To test the robots’ ability to feel human emotions. |
A.It can save astronauts’ lives. | B.It can interact with astronauts. |
C.It has emotional intelligence. | D.It can predict astronauts’ needs. |
A.It is due to be introduced this year. | B.It is available in the space stations. |
C.It is just a physical robotic device. | D.It is more of an intelligent system. |
A.A medicine magazine. | B.A business magazine. |
C.A science magazine. | D.A travel magazine. |
【推荐3】While most musicians work with other artists when creating their music, Holly Herndon, an American musician and sound artist who is now based in Berlin, takes a different way, working with the machine learning software called Spawn. The software uses artificial neural networks modeled after the structure of the human brain. These networks learn patterns from databasets (数据集) during the training process. Based on the data, the networks create new material that includes Herndon’s own voice.
When producing her album, PROTO, Holly trained databasets to write new music. The process requires the input data of music written by people or by artificial intelligence (AI). The neural networks then produce variations (变奏曲) of that music. “Computers surprise you in a way that an instrument doesn’t,” Holly said. So what does music sound like when composed by what is essentially a robot? It sounds like music from the future!
But Holly Herndon isn’t the only one exploring AI in composition. Machines have played an increasingly important role in music over the last century. The godfather of computer science, Alan Turing, developed the first computer-generated music in 1951. Then in 1980, David Cope from the University of California, Santa Cruz developed EMI — Experiments in Musical Intelligence, a system that analyzes existing music and produces new pieces based on it.
AI might not take over the job of the “pop star” anytime soon, or will it? Miquela Sousa is a computer-generated artist with over one million followers on Instagram. “I’m a model and singer. And I’m a robot,” Miquela said. This then raises the question: Can we reproduce creativity using a computer?
Though those questions are not easy to answer, I believe the next frontier of music lies somewhere in between. I can see the path forward with a new dawn of creativity that combines human inventiveness with AI. And the next chapter of music will certainly become wonderful as music and AI become even more closely connected.
1. What sets Holly Herndon apart from most musicians?A.Her American origin and Berlin relocation. |
B.Her work with other artists in music production. |
C.Her use of machine learning software in music creation. |
D.Her training in computer science and artificial intelligence. |
A.The use of various musical instruments. | B.The input of existing music. |
C.The cooperation between human musicians. | D.Holly Herndon’s rich knowledge of robots. |
A.Critical. | B.Indifferent. | C.Positive. | D.Doubtful. |
A.The Differences Between Human and Robotic Artists |
B.The History of Music Development |
C.Holly Herndon: A Gifted Musician |
D.The Future of Music: Human Creativity and AI Integration |