Not the App. Not the Ban. Train the Teacher.
Why every phone ban in America contains a sentence nobody has finished writing
Why the phone ban debate is asking the wrong question — and what would actually fix the school
In the first year of Florida’s phone ban, suspensions increased 30 percent for Black boys. For white and Hispanic students, the increase was near zero.
The same study — the most rigorous causal analysis of a statewide phone ban yet published, drawing on 3.5 million student-observations from one of the ten largest school districts in the United States — found that test scores improved for all groups in year two. The ban is right. The benefits are real.1
But the disciplinary costs are front-loaded, and they fall on Black boys first. The students who can least afford a year of elevated suspensions absorb those suspensions while they wait for benefits that arrive later. For a student suspended out of a critical semester, later may not be enough.
This is not an argument against phone bans. It is an argument about what phone bans, by themselves, cannot do — and about what we keep refusing to do instead.
The education policy debate in 2025 offered two answers to the same question. The question was: technology is harming students. What do we do?
Answer one was the phone ban. Thirty-one states enacted one. Remove the device. Restore the classroom.
Answer two, pushed by the educational technology industry, was the opposite: don’t ban technology, buy better technology. The right platform, the right adaptive learning system, the right AI tutor. Trust the algorithm. The $165 billion EdTech market had a product for every problem.
Both answers have the same flaw. Neither of them is about teachers.
A January 2026 RAND Europe analysis synthesizing large-scale trials of digital learning platforms, math feedback systems, and reading software found something the EdTech industry would prefer not to advertise: teacher training and support consistently made or broke the success of EdTech interventions. Where teachers were prepared and supported, technology improved outcomes. Where they weren’t, technology was underused, misused, or simply ignored.2
Platform design does matter — research on personalized computer-aided learning shows that well-designed adaptive software can produce meaningful gains, particularly in under-resourced settings.3 A five-dollar-per-student AI tool is genuinely better than no tool. The evidence is real. But platform quality sets the ceiling. Teacher training determines whether students ever get close to it. The WestEd ASSISTments trial makes the point precisely: the software was free, the devices were already in schools, and the only implementation cost was $46 per student — entirely in teacher professional development. That investment drove significant gains on state math assessments.4 The platform didn’t do it. The training did.
A great teacher trained in how to use AI purposefully will outperform any expensive educational technology platform. This is not a philosophical claim. It is what the evidence shows.
We are not building that teacher. We are banning the phone.
WestEd’s synthesis of technology integration research recommends that districts spend no more than 30 percent of their technology budgets on hardware and infrastructure, and at least 70 percent on teacher professional development and coaching. Most districts do roughly the opposite.5 Fewer than 40 percent of districts use federal Title II-A professional development funds for technology-enabled learning at all, according to a November 2025 SETDA analysis of 24 state educational agencies and 76 districts.6 Among teachers who have not yet used AI in their teaching, 70 percent report lacking the knowledge and skills to do so, per the OECD TALIS 2024 survey of US educators.7
The budget flows to hardware. Training gets the remainder.
Meanwhile, the phone ban hands teachers a new enforcement responsibility — making real-time judgments about which technology uses qualify as “educational” and which don’t — without any framework for making that judgment, any training to support it, or any clarity about what “educational purposes” actually means. Every one of those thirty-one state laws contains an exemption for educational purposes. Not one defines it. The teacher standing in front of a classroom at 9 a.m. is supposed to decide, in the moment, what qualifies — based on nothing.
This is not a technology problem. This is a teacher investment problem dressed up as a technology problem.
The equity dimension makes it worse.
For the student with home broadband, a laptop, and parents who work in technology, the phone ban removes a distraction. Everything else she had before the ban she still has at home. The ban touches almost nothing.
For the student whose phone is her household’s primary internet connection — more than half of students without home Wi-Fi access their internet through a smartphone, per NCES data — the ban removes infrastructure.8 The lockable pouch closes at 7:45 and the only quality technology access she will have for the next sixteen hours goes with it.
In 2025, the FCC made this worse by rescinding E-Rate funding for off-premises Wi-Fi hotspots — the program that provided school-subsidized home internet to students without broadband at home. In the same policy window: states removed the personal device these students used as primary internet access, and the federal government removed the school-provided home internet substitute. Both removals. Same students. Simultaneously.
New York City lifted its first school phone ban in 2015 specifically because enforcement fell harder on low-income schools. Metal detectors meant visible phones meant stricter policing. The 2025 wave brought the ban back. None of the new laws addressed what broke the policy the first time.
These students — the ones absorbing the disciplinary costs of year one, the ones losing their only after-school internet access — are in the schools that have invested least in teacher training. The compounding is not accidental. It is the logic of under-resourced institutions receiving policies designed for well-resourced ones.
Here is what would actually help.
First: guarantee supervised, teacher-led technology time during school hours, explicitly scaled to replace what the ban removes from students who have nothing at home. Not a Chromebook in a cart. Structured, purposeful access — the kind that only exists if a teacher knows what she is doing with it. Which brings us back to the teacher.
Second: fill in the definition every state law left blank. Every law exempts technology use for “educational purposes.” Define it before you enforce what it excludes. Technology qualifies as educational when it requires genuine cognitive effort from the student — when it extends their thinking rather than replaces it. That is a criterion a teacher can apply. If she has been trained to apply it.
Third, and most important: train teachers in AI. Not one-shot workshops. Not a half-day on how to use ChatGPT. Sustained, subject-specific, grade-level-specific professional development in how AI changes what teaching requires and what it makes possible. Doctors have mandatory continuing medical education — 50 hours per year, license renewal tied to demonstrated learning, specialization updates when practice changes significantly. Nobody argues that doctors should figure out new treatments on their own. The infrastructure for continuous professional development exists in medicine. It does not exist for teaching. It costs less to build than the hardware budgets it would replace.
A trained teacher with access to Claude is not a smaller version of an AI platform. She is a different instrument entirely — one that can hear the wrong note in a classroom, ask the question that unlocks the student who has been stuck for two weeks, recognize that today this child needs the device and that one doesn’t. Claude is accessible, inexpensive, and powerful. But even Claude requires a teacher who knows how to use it purposefully — who can distinguish the student using it to think harder from the student using it to avoid thinking altogether. No platform makes that call. A trained teacher does. That is the investment that closes the gap the phone ban opens, builds the capacity the EdTech budget cannot buy, and gives low-income students something worth more than another app: a great teacher who knows what she is doing.
Thirty-one states have told low-income students: the device you were using to compensate for what your school couldn’t provide is now gone. The school is responsible for your technology access now.
The school was responsible before, too. The difference is that before, the student had the phone as a backup.
The ban took the backup. It did not fix the school. Fixing the school means investing in the people who run it — not banning their tools and not replacing them with better ones. Training them. Trusting them. Giving them what medicine gives doctors: the expectation of continuous learning as a condition of professional practice.
That is what the ban debate is not about. That is what it should be.
References
Footnotes
Figlio, D.N. & Özek, U. (2025, October). The impact of cellphone bans in schools on student outcomes: Evidence from Florida. NBER Working Paper No. 34388. National Bureau of Economic Research. https://www.nber.org/papers/w34388 ↩
RAND Europe. (2026, January 5). Harnessing the benefits of EdTech: What research tells us about using digital technology to support pupils. RAND Corporation. https://www.rand.org/pubs/commentary/2026/01/harnessing-the-benefits-of-edtech-what-research-tells.html ↩
Muralidharan, K., Singh, A., & Ganimian, A.J. (2019). Disrupting education? Experimental evidence on technology-aided instruction in India. American Economic Review, 109(4), 1426–1460. See also VoxDev education technology meta-analysis on personalized computer-aided learning in low- and middle-income settings. ↩
WestEd. (2022). ASSISTments randomized controlled trial: Cost-effectiveness analysis. The total incremental implementation cost of $46.23 per student was driven entirely by teacher professional development. ↩
WestEd. (n.d.). Technology integration and the 30/70 rule: A synthesis of K–12 digital learning research. WestEd Policy Brief. ↩
State Educational Technology Directors Association (SETDA). (2025, November 5). Improving professional learning systems to better support today’s educators: How Title II, Part A offers a model for state and local leadership. Supported by Google.org. As reported in: Klein, A. (2025, November 7). Billions of federal dollars are spent on teacher training. Less than half goes to tech PD. Education Week. https://www.edweek.org/technology/billions-of-federal-dollars-are-spent-on-teacher-training-less-than-half-goes-to-tech-pd/2025/11 ↩
OECD. (2025, October). Results from TALIS 2024: Country notes — United States. Organisation for Economic Co-operation and Development. https://www.oecd.org/en/publications/results-from-talis-2024-country-notes_e127f9e2-en/united-states_66573a34-en.html ↩
National Center for Education Statistics. (2021). Home internet access and use among children in the United States. U.S. Department of Education. ↩