These teachers fight AI cheating with classes that force students to show they are learning


· 3 min read
illuminem summarises for you the essential news of the day, reviewed by our editorial team. Read the full piece on The Washington Post or enjoy below:
🗞️ Driving the news: Educators across the US are abandoning AI detection in favour of redesigned assessment, a dozen teachers and professors told The Post
• At the University of Baltimore, writing programme director Rachael Zeleny rebuilt the advanced writing curriculum to produce a record of the learning process rather than a final artefact
• Students now submit chatbot conversation transcripts, handwritten outlines and video reflections
• Assignments include debating instructor-designed chatbots in a simulated school board meeting
🔭 The context: Zeleny had previously recommended Brisk, an app tracking student activity in Google Docs and replaying document revisions surveillance she described as a stopgap rather than a solution
• New York temporarily banned generative AI below high school last week as Los Angeles Unified banned it on school-issued devices
• Meanwhile OpenAI and Anthropic offer free access to K-12 teachers and districts, Perplexity discounts students, and Google has enabled Gemini through Classroom
• Smaller firms sell detectors to teachers while pitching students "humanizers" designed to defeat revision tracking.
🌍 Why it matters for corporate governance and sustainability: The exchange between schools and AI companies marks where responsibility currently sits, with the institutions absorbing the disruption, not the firms distributing the tools.
• Vendor incentives seeemingly run against institutional interests on both sides of the transaction
• The same market supplies detection tools to schools and evasion tools to students
• Anna Mills of College of Marin wants developers to make AI agents refuse logins to school software or identify themselves so institutions can set rules
• Perplexity spokesperson Beejoli Shah said such measures would compromise student security and safety, a trade-off the company would not make
⏭️ What's next: Mills warns that agents capable of logging into learning systems and completing entire courses are poorly understood by teachers. Districts continue developing policy while individual educators improvise — Oakland teacher Hannah Scharlin-Pettee described the situation as DIY, building her own AI literacy unit on a small departmental stipend.
💬 One quote: "The big worry now is not if they're using AI. The big worry is if they're still learning" — Andrew Zeiser, supply chain management professor, John Carroll University.
📈 One stat: The article carries no quantitative figure; its evidence is the accounts of a dozen educators.
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