Guiding K-12 educators through AI’s fast-changing landscape

MIT’s Teaching Systems Lab has released a nonprescriptive guide for K-12 educators grappling with the rapid rise of generative AI in classrooms. The resource, “A Guide to AI in Schools: Perspectives for the Perplexed,” draws on input from an advisory panel and more than 100 U.S. students and teachers to surface early practices, trade-offs, and unanswered questions around academic integrity, data privacy, and instructional quality.
Lab director Justin Reich pairs the guide with a seven-part TeachLab podcast series, “The Homework Machine,” aimed at accelerating the sharing and testing of approaches while warning against premature conclusions. Citing past ed-tech missteps, Reich advocates humility and stakeholder engagement, arguing that AI “just showed up on kids’ phones” and that schools should “race to answers that are right, not first.”

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