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I’m a Professor. A.I. Has Changed My Classroom, but Not for the Worse.

AI in Education EditorialUpdated July 14, 20261 min readRead source
I’m a Professor. A.I. Has Changed My Classroom, but Not for the Worse.
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You have a preview view of this article while we are checking your access. When we have confirmed access, the full article content will load. I’m a Professor. A.I. Has Changed My Classroom, but Not for the Worse. My students’ easy access to chatbots forced me to make humanities instruction even more human. Credit... Animation By Sean Dong Supported by SKIP ADVERTISEMENT Share full article 334 By Carlo Rotella Carlo Rotella is the author of “What Can I Get Out

Analysis & Perspectives

People Also Ask

How can ChatGPT be used in education?
ChatGPT can serve as an on-demand study partner, essay feedback tool, and concept explainer. Students use it to get plain-language explanations of complex topics, generate practice questions, and receive feedback on drafts. Teachers use ChatGPT to brainstorm lesson ideas, create differentiated materials, and draft parent communications.
Should schools allow students to use ChatGPT?
Leading education researchers and organizations like UNESCO recommend that schools develop clear, transparent policies rather than blanket bans. Allowing ChatGPT for research and brainstorming while requiring original final work teaches students to use AI responsibly — a skill they will need in virtually every career.
Is ChatGPT free for students?
Yes, ChatGPT offers a free tier at chat.openai.com that students can use without a subscription. The free version uses GPT-3.5 and has some usage limits. OpenAI also offers ChatGPT Edu, a discounted plan for academic institutions, with GPT-4o access and data privacy controls required by many schools.
What are the limitations of using ChatGPT for education?
ChatGPT can produce plausible but incorrect facts (hallucinations), lacks real-time information unless connected to browsing, and cannot replace the relational mentorship students need from teachers. It also reflects biases present in its training data, so outputs on sensitive topics require critical evaluation before classroom use.