How ChatGPT and similar AI will disrupt education
Teachers are concerned about cheating and inaccurate information
By Kathryn Hulick
Students are turning to ChatGPT for homework help. Educators have mixed feeling about the tool and other generative AI. GLENN HARVEY |
“We need to talk,” Brett Vogelsinger said. A student had just asked for feedback on an essay. One paragraph stood out. Vogelsinger, a ninth grade English teacher in Doylestown, Pa., realized that the student hadn’t written the piece himself. He had used ChatGPT.
The artificial intelligence tool, made available for free late last year by the company OpenAI, can reply to simple prompts and generate essays and stories. It can also write code.
Within a week, it had more than a million users. As of early 2023, Microsoft planned to invest $10 billion into OpenAI, and OpenAI’s value had been put at $29 billion, more than double what it was in 2021.
It’s no wonder other tech companies have been racing to put out competing tools. Anthropic, an AI company founded by former OpenAI employees, is testing a new chatbot called Claude. Google launched Bard in early February, and the Chinese search company Baidu released Ernie Bot in March.
A lot of people have been using ChatGPT out of curiosity or for entertainment. I asked it to invent a silly excuse for not doing homework in the style of a medieval proclamation. In less than a second, it offered me: “Hark! Thy servant was beset by a horde of mischievous leprechauns, who didst steal mine quill and parchment, rendering me unable to complete mine homework.”
But students can also use it to cheat. ChatGPT marks the beginning of a new wave of AI, a wave that’s poised to disrupt education.
When Stanford University’s student-run newspaper polled students at the university, 17 percent said they had used ChatGPT on assignments or exams at the end of 2022. Some admitted to submitting the chatbot’s writing as their own. For now, these students and others are probably getting away with it. That’s because ChatGPT often does an excellent job.
“It can outperform a lot of middle school kids,” Vogelsinger says. He might not have known his student had used it, except for one thing: “He copied and pasted the prompt.”
The essay was still a work in progress, so Vogelsinger didn’t see it as cheating. Instead, he saw an opportunity. Now, the student and AI are working together. ChatGPT is helping the student with his writing and research skills.
“[We’re] color-coding,” Vogelsinger says. The parts the student writes are in green. The parts from ChatGPT are in blue. Vogelsinger is helping the student pick and choose a few sentences from the AI to expand on — and allowing other students to collaborate with the tool as well. Most aren’t turning to it regularly, but a few kids really like it. Vogelsinger thinks the tool has helped them focus their ideas and get started.
This story had a happy ending. But at many schools and universities, educators are struggling with how to handle ChatGPT and other AI tools.
In early January, New York City public schools banned ChatGPT on their devices and networks. Educators were worried that students who turned to it wouldn’t learn critical-thinking and problem-solving skills. They also were concerned that the tool’s answers might not be accurate or safe. Many other school systems in the United States and around the world have imposed similar bans.
Keith Schwarz, who teaches computer science at Stanford, said he had “switched back to pencil-and-paper exams,” so students couldn’t use ChatGPT, according to the Stanford Daily.
Yet ChatGPT and its kin could also be a great service to learners everywhere. Like calculators for math or Google for facts, AI can make writing that often takes time and effort much faster. With these tools, anyone can generate well-formed sentences and paragraphs. How could this change the way we teach and learn?
CatGPT’s mistakes make sense if you know how it works. “It doesn’t reason. It doesn’t have ideas. It doesn’t have thoughts,” explains Emily M. Bender, a computational linguist at the University of Washington in Seattle.
ChatGPT was developed using at least two types of machine learning. The primary type is a large language model based on an artificial neural network. Loosely inspired by how neurons in the brain interact, this computing architecture finds statistical patterns in vast amounts of data.
A language model learns to predict what words will come next in a sentence or phrase by churning through vast amounts of text. It places words and phrases into a multidimensional map that represents their relationships to one another. Words that tend to come together, like peanut butter and jelly, end up closer together in this map.
The size of an artificial neural network is measured in parameters. These internal values get tweaked as the model learns. In 2020, OpenAI released GPT-3. At the time, it was the biggest language model ever, containing 175 billion parameters. It had trained on text from the internet as well as digitized books and academic journals. Training text also included transcripts of dialog, essays, exams and more, says Sasha Luccioni, a Montreal-based researcher at Hugging Face, a company that builds AI tools.
OpenAI improved upon GPT-3 to create GPT-3.5. In early 2022, the company released a fine-tuned version of GPT-3.5 called InstructGPT. This time, OpenAI added a new type of machine learning. Called reinforcement learning with human feedback, it puts people into the training process. These workers check the AI’s output. Responses that people like get rewarded. Human feedback can also help reduce hurtful, biased or inappropriate responses. This fine-tuned language model powers freely available ChatGPT. As of March, paying users receive answers powered by GPT-4, a bigger language model.
During ChatGPT’s development, OpenAI added extra safety rules to the model. It will refuse to answer certain sensitive prompts or provide harmful information. But this step raises another issue: Whose values are programmed into the bot, including what it is — or is not — allowed to talk about?
OpenAI is not offering exact details about how it developed and trained ChatGPT. The company has not released its code or training data. This disappoints Luccioni because it means the tool can’t benefit from the perspectives of the larger AI community. “I’d like to know how it works so I can understand how to make it better,” she says.
When asked to comment on this story, OpenAI provided a statement from an unnamed spokesperson. “We made ChatGPT available as a research preview to learn from real-world use, which we believe is a critical part of developing and deploying capable, safe AI systems,” the statement said. “We are constantly incorporating feedback and lessons learned.” Indeed, some experimenters have gotten the bot to say biased or inappropriate things despite the safety rules. OpenAI has been patching the tool as these problems come up.
ChatGPT is not a finished product. OpenAI needs data from the real world. The people who are using it are the guinea pigs. Notes Bender: “You are working for OpenAI for free.”
The artificial intelligence tool, made available for free late last year by the company OpenAI, can reply to simple prompts and generate essays and stories. It can also write code.
Within a week, it had more than a million users. As of early 2023, Microsoft planned to invest $10 billion into OpenAI, and OpenAI’s value had been put at $29 billion, more than double what it was in 2021.
It’s no wonder other tech companies have been racing to put out competing tools. Anthropic, an AI company founded by former OpenAI employees, is testing a new chatbot called Claude. Google launched Bard in early February, and the Chinese search company Baidu released Ernie Bot in March.
A lot of people have been using ChatGPT out of curiosity or for entertainment. I asked it to invent a silly excuse for not doing homework in the style of a medieval proclamation. In less than a second, it offered me: “Hark! Thy servant was beset by a horde of mischievous leprechauns, who didst steal mine quill and parchment, rendering me unable to complete mine homework.”
But students can also use it to cheat. ChatGPT marks the beginning of a new wave of AI, a wave that’s poised to disrupt education.
When Stanford University’s student-run newspaper polled students at the university, 17 percent said they had used ChatGPT on assignments or exams at the end of 2022. Some admitted to submitting the chatbot’s writing as their own. For now, these students and others are probably getting away with it. That’s because ChatGPT often does an excellent job.
“It can outperform a lot of middle school kids,” Vogelsinger says. He might not have known his student had used it, except for one thing: “He copied and pasted the prompt.”
The essay was still a work in progress, so Vogelsinger didn’t see it as cheating. Instead, he saw an opportunity. Now, the student and AI are working together. ChatGPT is helping the student with his writing and research skills.
“[We’re] color-coding,” Vogelsinger says. The parts the student writes are in green. The parts from ChatGPT are in blue. Vogelsinger is helping the student pick and choose a few sentences from the AI to expand on — and allowing other students to collaborate with the tool as well. Most aren’t turning to it regularly, but a few kids really like it. Vogelsinger thinks the tool has helped them focus their ideas and get started.
This story had a happy ending. But at many schools and universities, educators are struggling with how to handle ChatGPT and other AI tools.
In early January, New York City public schools banned ChatGPT on their devices and networks. Educators were worried that students who turned to it wouldn’t learn critical-thinking and problem-solving skills. They also were concerned that the tool’s answers might not be accurate or safe. Many other school systems in the United States and around the world have imposed similar bans.
Keith Schwarz, who teaches computer science at Stanford, said he had “switched back to pencil-and-paper exams,” so students couldn’t use ChatGPT, according to the Stanford Daily.
Yet ChatGPT and its kin could also be a great service to learners everywhere. Like calculators for math or Google for facts, AI can make writing that often takes time and effort much faster. With these tools, anyone can generate well-formed sentences and paragraphs. How could this change the way we teach and learn?
CatGPT’s mistakes make sense if you know how it works. “It doesn’t reason. It doesn’t have ideas. It doesn’t have thoughts,” explains Emily M. Bender, a computational linguist at the University of Washington in Seattle.
ChatGPT was developed using at least two types of machine learning. The primary type is a large language model based on an artificial neural network. Loosely inspired by how neurons in the brain interact, this computing architecture finds statistical patterns in vast amounts of data.
A language model learns to predict what words will come next in a sentence or phrase by churning through vast amounts of text. It places words and phrases into a multidimensional map that represents their relationships to one another. Words that tend to come together, like peanut butter and jelly, end up closer together in this map.
The size of an artificial neural network is measured in parameters. These internal values get tweaked as the model learns. In 2020, OpenAI released GPT-3. At the time, it was the biggest language model ever, containing 175 billion parameters. It had trained on text from the internet as well as digitized books and academic journals. Training text also included transcripts of dialog, essays, exams and more, says Sasha Luccioni, a Montreal-based researcher at Hugging Face, a company that builds AI tools.
OpenAI improved upon GPT-3 to create GPT-3.5. In early 2022, the company released a fine-tuned version of GPT-3.5 called InstructGPT. This time, OpenAI added a new type of machine learning. Called reinforcement learning with human feedback, it puts people into the training process. These workers check the AI’s output. Responses that people like get rewarded. Human feedback can also help reduce hurtful, biased or inappropriate responses. This fine-tuned language model powers freely available ChatGPT. As of March, paying users receive answers powered by GPT-4, a bigger language model.
During ChatGPT’s development, OpenAI added extra safety rules to the model. It will refuse to answer certain sensitive prompts or provide harmful information. But this step raises another issue: Whose values are programmed into the bot, including what it is — or is not — allowed to talk about?
OpenAI is not offering exact details about how it developed and trained ChatGPT. The company has not released its code or training data. This disappoints Luccioni because it means the tool can’t benefit from the perspectives of the larger AI community. “I’d like to know how it works so I can understand how to make it better,” she says.
When asked to comment on this story, OpenAI provided a statement from an unnamed spokesperson. “We made ChatGPT available as a research preview to learn from real-world use, which we believe is a critical part of developing and deploying capable, safe AI systems,” the statement said. “We are constantly incorporating feedback and lessons learned.” Indeed, some experimenters have gotten the bot to say biased or inappropriate things despite the safety rules. OpenAI has been patching the tool as these problems come up.
ChatGPT is not a finished product. OpenAI needs data from the real world. The people who are using it are the guinea pigs. Notes Bender: “You are working for OpenAI for free.”
Source: [ ScienceNewsExplores ]
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