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    Home - Disruption Lab - Teachers Are Trying to Make AI Work for Them
    Disruption Lab

    Teachers Are Trying to Make AI Work for Them

    TechurzBy TechurzAugust 18, 2025Updated:May 11, 2026No Comments4 Mins Read
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    Teachers Are Trying to Make AI Work for Them
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    Jennifer Goodnow, who teaches English as a second language in New York, feels similarly. She now plugs complex readings, like essays or book excerpts, into ChatGPT and asks it to create separate versions for advanced and beginner students, with corresponding depth-of-knowledge questions.

    Amanda Bickerstaff, a former teacher and CEO of AI for Education, an organization that offers training and resources to help educators integrate AI into their classrooms, puts it bluntly: “Teachers are incorporating AI because they’ve always needed better planning tools. Now they finally have them.”

    The same goes for students with individualized education plans, commonly called IEPs—especially those with reading or processing disabilities. If a student struggles with comprehending text, for instance, a teacher might use generative AI to simplify sentence structures, highlight key vocabulary, or break down dense passages into more digestible chunks. Some tools can even reformat materials to include visuals or audio, helping students access the same content in a different way.

    Chamberlain, Johnson, and Goodnow all teach language arts, subjects where AI can offer benefits—and setbacks—in the classroom. Math teachers, though, tend to be more skeptical.

    “Large language models are really bad at computation,” Bickerstaff says. Her team explicitly advises against using tools like ChatGPT to teach math. Instead, some teachers use AI for adjacent tasks—generating slides, reinforcing math vocabulary, or walking students through steps without solving problems outright.

    But there’s something else teachers can use AI for: staying ahead of AI. Nearly three years after ChatGPT became available to the public, teachers can no longer ignore that their kids use it. Johnson recalls one student who was asked to analyze the song “America” from West Side Story only to turn in a thesis on Simon & Garfunkel’s song of same name. “I was like, ‘Dude, did you even read the response?’” he says.

    Rather than ban the tools, many teachers are designing around them. Johnson has students draft essays step-by-step in a Google Doc with version history enabled, which allows him to track students’ writing progress as it appears on the page. Chamberlain requires students to submit their planning documents alongside final work. Goodnow is toying with the idea of having students plug AI-generated essays into assignments and then critique the results.

    “Three years ago, I would’ve thrown the book at them,” Chamberlain says. “Now it’s more like, ‘Show me your process. Where were you an agent in this?’”

    Even so, detecting AI use remains a game of vibes. Plagiarism checkers are notoriously unreliable. Districts have been reluctant to draw hard lines, in part because the tools are moving faster than the rules. But if there’s one thing almost everyone agrees on, it’s this: Students need AI literacy, and they’re not getting it.

    “We need to create courses for high school students on AI use, and I don’t know that anybody knows the answer to this,” Goodnow says. “Some sort of ongoing dialog between students and teachers on how to ethically, question mark, use these tools.”

    Organizations like AI for Education aim to provide that literacy. Founded in 2023, it works with school districts across the US to create AI guidance and training. But even in the most proactive schools, the focus is still on tool use—not critical understanding. Students know how to generate answers. They don’t know how to tell whether those answers are inaccurate, biased, or made up. Johnson has begun building lessons around AI hallucinations—like asking ChatGPT how many R’s are in the word “strawberry.” (Spoiler: It often gets it wrong.) “They need to see that you can’t always trust it,” he says.

    As the tools improve, they’re also reaching younger students, raising new concerns about how kids interact with LLMs. Bickerstaff warns that younger children, still learning to distinguish fact from fiction, may be especially vulnerable to over-trusting generative tools. That trust, she says, could have real consequences for their development and sense of reality. Already, some students are using AI not just to complete tasks but to think through them—blurring the line between tool and tutor.

    Across the board, educators say this fall feels like a turning point. Districts are rolling out new products, students are getting savvier, and teachers are racing to set the norms before the tech sets them itself.

    “If we know we’re preparing students for the future workforce—and we’re hearing from leaders across many different companies that AI is going to be super important—then we need to start now,” Bickerstaff says.

    That’s what teachers like Johnson and Goodnow are doing, one prompt, one student, one weird apocalypse scenario at a time.

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