If this past school year was about adults figuring out how to adapt systems and approaches to AI, the next school year should be about students actually experiencing something better because of the work the adults did.
The problem wasn’t just the perfectly polished, yet mediocre prose. It’s what’s lost when we surrender the struggle to translate thought into words
I have been teaching fiction writing at MIT since 2017. Many of my students last wrote fiction in middle school, and very few have experienced a proper workshop, so at the start of every semester I offer these directions for writer and reader alike:
Read the story at least twice. Mark what works and what doesn’t – underline great sentences, flag clunky syntax, gaps in logic and unrealistic dialogue. Ask yourself: does the story work? Why or why not? What could improve it? Answer in a signed letter to the author, attached to their story. Give your honest opinions. Remember that an effective peer review demands close reading of the text accompanied by a boldness of spirit.
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As agencies adopt AI more rapidly, they are also under pressure to ensure these systems are transparent, explainable and secure, Red Hat chief architect says.
For teachers, advocating for your classroom and students isn’t just about the big, visible moments, but the quiet ones: the follow-up email, the extra conversation, the willingness to try again after hearing “no.”
One of the more dangerous assumptions in the current AI market is that broad adoption means meaningful adoption. It does not. Much of what enterprises call AI transformation is, in fact, AI experimentation focused at the edge of the business, in systems and workflows that support employees but are not central to how the enterprise actually operates. These include calendaring, scheduling, meeting summaries, employee communications, customer messaging, document generation, internal assistants, and similar productivity-oriented use cases.
Those applications may be useful, but they are not core applications that directly run the business and determine whether the company performs well or poorly. Inventory management, sales order entry, logistics execution, supply chain planning, procurement, warehouse management, manufacturing operations, and financial transaction processing belong in this category. If these systems fail, the business feels it immediately through delayed orders, lost reven