Opinion | How AI is transforming education at the University of Mississippi - The Washi... - 0 views
www.washingtonpost.com/...-chatgpt-universities-learning
chatbot writing thinking education evaluation
shared by Javier E on 12 Dec 23
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Perplexity AI “unlocks the power of knowledge with information discovery and sharing.” This, it turns out, means “does research.” Type something into it, and it spits out a comprehensive answer, always sourced and sometimes bulleted. You might say this is just Google on steroids — but really, it is Google with a bibliography.
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Caleb Jackson, a 22-year-old junior at Ole Miss studying part time, is a fan. This way, he doesn’t have to spend hours between night shifts and online classes trawling the internet for sources. Perplexity can find them, and he can get to writing that much sooner.
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What’s most important to Ole Miss faculty members is that students use these tools with integrity. If the university doesn’t have a campuswide AI honor code, and so far it doesn’t, individual classes should. And no matter whether professors permit all applications of AI, as some teachers have tried, or only the narrowest, students should have to disclose just how much help they had from robots.
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“Write a five-paragraph essay on Virginia Woolf’s ‘To the Lighthouse.’” Too generic? Well, how about “Write a five-paragraph essay on the theme of loss in ‘To the Lighthouse’”? Too high-schoolish? “Add some bigger words, please.” The product might not be ready to turn in the moment it is born, fully formed, from ChatGPT’s head. But with enough tweaking — either by the student or by the machine at the student’s demand — chances are the output can muster at least a passing grade.
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Which of these uses are okay? Which aren’t? The harnessing of an AI tool to create an annotated bibliography likely doesn’t rankle even librarians the way relying on that same tool to draft a reflection on Virginia Woolf offends the professor of the modern novel. Why? Because that kind of contemplation goes closer to the heart of what education is really about.
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the core of the question colleges now face. They can’t really stop students from using AI in class. They might not be able to notice students have done so at all, and when they do think they’ve noticed they’ll be acting only on suspicion. But maybe teachers can control the ways in which students use AI in class.
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Figuring out exactly what ways those ought to be requires educators to determine what they care about in essays — what they are desperate to hear. The purpose of these papers is for students to demonstrate what they’ve learned, from hard facts to compositional know-how, and for teachers to assess how their pupils are progressing. The answer to what teachers want to get from students in their written work depends on what they want to give to students.
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ChatGPT is sort of in a class of its own, because it can be almost anything its users want it to be so long as they possess one essential skill: prompt engineering. This means, basically, manipulating the machine not only into giving you an answer but also into giving you the kind of answer you’re looking for.
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The next concern is that students should use AI in a manner that improves not only their writing but also their thinking — in short, in a manner that enhances learning rather than bypasses the need to learn at all.
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This simple principle makes for complicated practice. Certainly, no one is going to learn anything by letting AI write an essay in its entirety. What about letting AI brainstorm an idea, on the other hand, or write an outline, or gin up a counter-argument? Lyndsey Cook, a senior at Ole Miss planning a career in nursing, finds the brainstorming especially helpful: She’ll ask ChatGPT or another tool to identify the themes in a piece of literature, and then she’ll go back and look for them herself.
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These shortcuts, on the one hand, might interfere with students’ learning to brainstorm, outline or see the other side of things on their own
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But — here comes a human-generated counterargument — they may also aid students in surmounting obstacles in their composition that otherwise would have stopped them short. That’s particularly true of kids whose high schools didn’t send them to college already equipped with these capabilities.
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Allow AI to boost you over these early hurdles, and suddenly the opportunity for deeper learning — the opportunity to really write — will open up. That’s how Caleb Jackson, the part-time student for whom Perplexity has been such a boon, sees it: His professor, he says , wanted them to “get away from the high-school paper and go further, to write something larger like a thesis.”
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maybe, as one young Ole Miss faculty member put it to me, this risks “losing the value of the struggle.” That, she says, is what she is scared will go away.
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Learning, in college, can be instrumental. According to this view, the aim of teaching is to prepare students to live in the real world, so all that really matters is whether they have the chops to field jobs that feed themselves and their families. Perhaps knowing how to use AI to do any given task for you, then, is one of the most valuable skills out there — the same way it pays to be quick with a calculator.
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If you accept this line of argument, however, there are still drawbacks to robotic crutches. Some level of critical thinking is necessary to function as an adult, and if AI stymies its development even the instrumental aim of education is thwarted. The same goes for that “value of the struggle.” The real world is full of adversity, much of which the largest language model can’t tell you how to overcome.
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more compelling is the idea, probably shared by most college professors, that learning isn’t only instrumental after all — that it has intrinsic value and that it is the end rather than merely a means to one.
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Every step along the way that is skipped, the shorter the journey becomes, the less we will take in as we travel.
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This glummest of outlooks suggests that AI will stunt personal growth even if it doesn’t harm professional prospects.
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While that doesn’t mean it’s wise to prohibit every little application of the technology in class, it probably does mean discouraging those most closely related to critical thinking.
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One approach is to alter standards for grading, so that the things the machines are worst at are also the things that earn the best marks: originality, say, or depth of feeling, or so-called metacognition — the process of thinking about one’s own thinking or one’s own learning.
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Caleb Jackson only wants AI to help him write his papers — not to write them for him. “If ChatGPT will get you an A, and you yourself might get a C, it’s like, ‘Well, I earned that C.’” He pauses. “That might sound crazy.”
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Dominic Tovar agrees. Let AI take charge of everything, and, “They’re not so much tools at that point. They’re just replacing you.”
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Lyndsey Cook, too, believes that even if these systems could reliably find the answers to the most vexing research problems, “it would take away from research itself” — because scientific inquiry is valuable for its own sake. “To have AI say, ‘Hey, this is the answer …’” she trails off, sounding dispirited.
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Claire Mischker, lecturer of composition and director of the Ole Miss graduate writing center, asked her students at the end of last semester to turn in short reflections on their experience in her class. She received submissions that she was near certain were produced by ChatGPT — “that,” she says as sarcastically as she does mournfully, “felt really good.