AI tools in schools are repeating past ed tech boom and bust cycles

In short: Many schools are adopting AI quickly, and critics say it is starting to follow the same pattern as past education technology fads, big promises first and mixed results later.

What's going on

AI tools are being pitched to schools with familiar claims. Supporters say AI can personalize learning, save teachers time, and help struggling students. But an emerging set of research and policy guidance says schools often buy or try tools before they have clear goals or proof they work.

A common complaint is that technology comes first and teaching needs come second. Some education leaders are now urging schools to ask basic questions up front, like whether a tool solves a real classroom problem and whether it supports teachers instead of replacing their judgment. Others point out that early pilot programs can look successful because the tool feels new and engaging, even if long-term learning gains do not show up.

Another concern is that hard issues arrive late. Many AI systems depend on student data (information about a student that a product collects). Schools can end up debating privacy, security, and fairness after a product is already in use. Commentators also warn about “dark patterns,” which are design tricks that nudge people toward certain choices (like a store putting candy at checkout, but inside software).

What to watch

Expect AI features to blend into tools schools already use, instead of appearing as separate “AI products.” That can make it harder to notice when schools are repeating the old cycle. Watch for districts that slow down, set clear rules on data use, and require evidence before expanding beyond small trials.

Source: NYTimes