"Meta wouldn't settle unless it sees the writing on the wall and feels really exposed." That's how Stanford law professor Nora Freeman Engstrom described this week's news: Meta has agreed to pay up to $17.1 billion and overhaul core product features to resolve claims from 47 states, the District of Columbia, and U.S. territories that its platforms were designed in ways that harmed children.

That distinction matters for EdTech. The mechanics named in the claims (notifications, streaks, recommendation feeds, behavioral data collection) show up in tools built for classrooms and used by students every school day.

Here's what EdTech companies should take from this settlement, and what to do about it:

The Claims Show Privacy Law Reached Into Product Design

Much of the coverage of this case understandably focuses on the dollar figure, but the more instructive part for EdTech is what Meta actually agreed to change. According to Colorado Attorney General Phil Weiser, the terms include stopping notifications and alerts at night and during school hours, encouraging young people to take breaks, and limiting features associated with mental health harm.

That's the throughline from the COPPA violations described above: profiling and targeting don't happen in the abstract, they happen through specific design choices, like when a notification fires or how a recommendation feed behaves. This settlement is a reminder that regulators are evaluating those design choices as part of the privacy question itself, not as a separate issue. For EdTech tools used by students during and after school hours, that's a question worth asking proactively, not waiting for a regulator to ask it first.

Data Collected for Engagement Is Still Data Collected From Kids

At the heart of the underlying lawsuits was the use of behavioral data: how long a user scrolls, what content keeps them engaged, when they're most likely to return, to shape a more addictive product. In education technology, similar behavioral signals (time on task, click patterns, engagement scores) are often collected for legitimate purposes: measuring learning outcomes, personalizing instruction, or reporting progress to teachers and parents.

The lesson isn't that this kind of data collection is inherently wrong. It's that the purpose matters, and that purpose should be documented, limited, and disclosed. A company that can clearly show behavioral data is used to support learning, and not to maximize time-in-app for its own sake, is in a fundamentally different position than one that can't answer why the data is being collected at all.

Privacy Needs to be a Part of Design Decisions

For EdTech companies, this raises a useful internal question: does anything in the product exist primarily to keep students engaged longer, rather than to support a specific learning goal? And separately: does the product need to collect the personal information it currently collects at all?

That second question is where design and privacy meet directly. Some classroom tools have moved away from requiring a student's full name to participate, letting them join with a nickname or a session code instead. The effect is a product that still works exactly as intended for engagement and gameplay, while collecting meaningfully less personal information that could be exposed if the system were ever compromised.

That's the kind of design choice worth asking about product by product: is this feature collecting personally identifiable information it doesn't actually need, just because that was the easiest default to build?

Scale Doesn't Change the Standard

t's tempting to read a case like this and conclude it's a "big platform problem." Meta is valued at $1.47 trillion and generates tens of billions in quarterly revenue; a settlement measured in billions of dollars, paid out over a decade, is a scale most companies will never encounter. But the underlying legal theories, violations of children's privacy law and state consumer protection statutes, apply regardless of a company's size. A smaller EdTech vendor with a single product used by a few hundred schools is subject to the same children's privacy laws as a company the size of Meta. What differs is enforcement priority and resources, not obligation.

That gap tends to close over time, particularly in a space like EdTech where state attorneys general, school districts, and parents are already paying close attention. Building good practices now, while the company is small, is considerably easier than retrofitting them under pressure later.

What EdTech Companies Can Do Now

Companies don't need to wait for a lawsuit to start asking these questions internally. A few concrete places to start:‍

  • ‍Audit engagement-driving features against a learning purpose. For every notification, streak, badge, or recommendation feed, identify the specific educational goal it serves. If there isn't one, that's a design worth revisiting.‍
  • Review notification timing and frequency for school-age users. Consider whether alerts are reaching students during class hours or late at night, and whether that timing serves learning or simply drives return visits.‍
  • Audit what personal information a feature actually requires. Check whether a full name, birthdate, or other PII is necessary for a feature to work, or whether a nickname, session code, or similar alternative would serve the same purpose with less exposure if the system were ever compromised.‍
  • Document why behavioral data is collected. Time on task, click patterns, and engagement metrics should be traceable to a specific instructional or reporting purpose, not just "we might use it later."‍
  • Separate wellbeing features from engagement features. Breaks, session limits, and similar tools should be built to support students, not framed as a compliance checkbox layered on top of an otherwise engagement-maximizing product.

Meta has said it hopes other platforms, including Snap, TikTok, and YouTube, will join similar settlements, and part of the deal's structure depends on that happening. Whichever way that goes, the direction for regulators and the public is already set: how a product is designed, and how much personal information it collects to get there, is now squarely a privacy question. Starting that review now, on a company's own timeline, is a considerably better position than starting it under the pressure of an investigation.