Math

Phone Bans, Test Scores and Tutoring: What the Latest Research Found (July 2026)

What a major school phone ban study and Ontario's latest EQAO results mean for your child's learning this year

By
Connect Education
July 2, 2026

Quick take

  • A Stanford study of more than 43,000 schools found phone bans had an effect on test scores that was consistently close to zero.
  • The same study found discipline issues eased after the first year, and by the third year student well-being had risen.
  • EQAO's 2024-2025 results showed only 51 percent of Ontario Grade 6 students met the provincial math standard, while Grade 9 math rose to 58 percent in English-language schools and 66 percent in French-language schools.
  • About 80 percent of educators report little or no training in generative AI, even though children already use these tools every day.

A run of new education research landed over the past several months, and read together it pushes back on a comforting idea: that the fix for a struggling classroom is one big lever, pulled once. The largest study yet on school phone bans. The latest EQAO results for Ontario students. A Canadian look at whether teachers are ready for AI. And a fresh tutoring trial with a result worth sitting with. Four reports, one thread. The things that actually move a child's learning are slower, more specific, and more human than the headlines suggest.

These studies were published at different points, from late 2025 into early 2026, but they rhyme. Big, blunt interventions do less than we hope on their own. What works is targeted, patient, and built around the individual child: the right teaching filling the space a phone used to occupy, support aimed at the exact skill a student is missing, and adults who are actually equipped to guide the tools kids already use. Here is what each report found, the real numbers, when it was published, and what it means if you have a child in a Canadian classroom. Every figure links back to its source.

43,000+
schools in the largest study yet of cellphone bans (Stanford, 2026)
~0
difference in test scores on average after phone bans, "almost zero" (Stanford, 2026)
51%
of Grade 6 students met the Ontario math standard (EQAO, 2025)
~80%
of educators report little or no training in using generative AI (IRPP, 2026)

Do School Phone Bans Actually Work?

The biggest study yet on the question came out of Stanford. Thomas Dee, the Barnett Family Professor at the Stanford Graduate School of Education, worked with researchers at Duke, Michigan and Penn to examine more than 43,000 middle and high schools over three years, in work published through the National Bureau of Economic Research on May 4, 2026 (Stanford, 2026). It is the largest look at school cellphone policies to date, and its central finding surprised a lot of people who expected bans to lift grades.

They did not, at least not directly. In the three years after a ban began, the study found "almost zero difference in test scores on average." Putting phones in pouches, on its own, was not causing dramatic changes in how students performed on assessments. If you were hoping a ban would show up as higher marks by June, the data says otherwise.

What the study did find showed up more slowly. As Stanford's write-up of the study put it, "the disciplinary issues dissipated after the first year, and in the third year, student well-being was higher than before the phones were stashed away." The benefits were real, but they were about climate and attention rather than a quick jump in scores, and they took years to surface. The lesson for a parent is not that phone rules are pointless. It is that a ban only helps if what replaces the phone, the teaching, the connection, the calm, is worth a child's focus, and if everyone is patient enough to let that compound.

Grade 6 math, met standard51%
Grade 9 math, French-language schools66%
Grade 9 math, English-language schools58%

Ontario students meeting the provincial standard, 2024-2025. Source: EQAO

Where Do Ontario Students Actually Stand?

Closer to home, EQAO released Ontario's provincial assessment results for the 2024-2025 school year on December 3, 2025 (EQAO, 2025). The picture was mixed, and worth reading carefully rather than as a single grade for the province.

The number that stands out is Grade 6 math: 51 percent of students met the provincial standard. That is roughly half meeting the bar and roughly half falling short of it, on the foundational math skills that later grades build on. Grade 9 was more encouraging. In Grade 9 math, 58 percent of students in English-language schools met the standard, up from 54 percent the year before, and in French-language schools 66 percent met it, up from 61 percent (EQAO, 2025).

For families, the practical signal is where the pressure sits. Middle-years math is the spot where the largest share of Ontario children are not yet meeting the standard, and math gaps tend to widen quietly, because each new topic assumes the last one is solid. A child who is shaky on fractions in Grade 6 does not usually announce it. It shows up later, as frustration with algebra. Catching that early, on the specific skill, is far easier than rebuilding it in high school.

Are Teachers Even Ready for the AI Kids Already Use?

One reason the system reacts slowly to change becomes clear in a Canadian analysis published in Policy Options on January 9, 2026. Drawing on data from the Future Skills Centre and the Conference Board of Canada, the piece reported that roughly 80 percent of educators said they had received little or no training in integrating generative AI into their teaching (IRPP, 2026).

That is a striking gap, because it is not about student appetite. Kids have already folded AI into their schoolwork, as earlier surveys have shown. The bottleneck is adult readiness. Most teachers have not been given structured support to decide when a chatbot deepens learning and when it quietly replaces it, which means guidance from one classroom to the next is uneven, through no fault of the individual teacher.

For a parent, this is not a reason to panic, and it is certainly not a reason to blame teachers who are being asked to adapt without training. It is a reason to fill the gap at home and in the child's learning support. A simple family rule helps: AI can explain a concept or check work, but the child does the thinking and can explain their answer. And a skilled teacher who models good AI use, treating it as a study partner that makes a student show their reasoning rather than a shortcut that hands over answers, does more for a child than any schoolwide policy that is still being written.

What Actually Makes Tutoring Work?

The last study is the one that ties the others together. A randomized controlled trial written up in an EdWorkingPaper released in November 2025, "Beyond the Classroom: Impact of a High-Dosage Tutoring Program on Student Literacy Achievement" by Ayman Shakeel, followed 333 students in grades 2 to 5 through a high-dosage literacy program with low tutor-to-student ratios, delivered during the school day (EdWorkingPaper, 2025).

The overall average effect was not statistically significant, which, read quickly, looks like the program did not work. But the average hid the real story. Students who started further behind gained meaningfully, roughly 0.2 of a standard deviation, while students who were already reading well saw no benefit and, in some cases, slipped slightly. The tutoring helped exactly the children it was meant to help, and the average washed that out by mixing them together.

The researchers' own conclusion points at the design, not the idea: the gains come from "tailoring high-dosage tutoring interventions to student needs." In plain terms, tutoring is not a blanket that helps everyone equally. It is a targeted tool. Aimed at a child who is genuinely behind, on the specific skill they are missing, it produces real movement. Spread evenly across a mixed group with no differentiation, its benefit thins out for the very students who need it most. That is the through-line across all four reports: the general lever underdelivers, and the specific, well-matched one is what moves the needle.

What This Means for Ontario Families and Teachers

Put the four together and one message emerges. Phone bans buy calmer classrooms over years, not higher scores overnight. Ontario's EQAO results show middle-years math is where the most children are falling short. Most teachers have not been trained for the AI their students already use. And the newest tutoring research shows that help works when it is matched to the individual child and the exact skill, not sprayed evenly across a group. None of this points to a single big fix. It points to the right help, aimed at the one thing a child is actually missing, from someone trained to spot it and teach it.

That is the work Connect Education is built for. Connect Education works exclusively with licensed teachers, who assess where your child actually stands, build a learning plan around that specific gap, and meet online, in person, or at a public library, using tools to deepen understanding rather than replace it. The table below sets that next to a typical tutoring option. If your child is stalling on a specific skill like middle-years math or reading fluency, you can book a free 15-minute assessment or browse certified tutors to get started.

Resources

Sources and further reading

  1. Stanford Graduate School of Education (2026), National study of school cellphone bans, Thomas Dee et al., published via NBER (May 4, 2026), humsci.stanford.edu
  2. EQAO (2025), Provincial assessment results 2024-2025 (released December 3, 2025), eqao.com
  3. Policy Options / IRPP (2026), on educators and generative AI training, using Future Skills Centre and Conference Board of Canada data (January 9, 2026), policyoptions.irpp.org
  4. Shakeel, A. (2025), Beyond the Classroom: Impact of a High-Dosage Tutoring Program on Student Literacy Achievement, EdWorkingPaper ai26-1348 (November 2025), edworkingpapers.com
FAQ

Frequently asked questions

Do cellphone bans in schools actually work?

Not in the way many people expect, and not right away. A 2026 Stanford-led study of more than 43,000 middle and high schools, the largest of its kind, found that the effect of phone bans on test scores was consistently close to zero. What the researchers did find was slower and less visible: after the first year, disciplinary issues eased, and by the third year student well-being was higher than before phones were put away. The takeaway is that a phone ban is not a quick fix for grades. It creates room for better teaching and calmer classrooms, but only if what replaces the phone is worth the child's attention, and only over time.

How did Ontario students do on the latest EQAO results?

The results released in December 2025, covering the 2024-2025 school year, were mixed. In Grade 6 math, 51 percent of students met the provincial standard, meaning roughly half did not. There was better news in Grade 9: 66 percent of students met the standard on the English assessment, up from 61 percent, and 58 percent met it in French, up from 54 percent. Ontario has said it will review its approach to standardized testing and curriculum. For a parent, the practical read is that math in the middle years is where many Ontario children need the most targeted support.

Does high-dosage tutoring actually help students who are behind?

It helps most when it is matched to the child. A 2025 randomized trial of a high-dosage literacy tutoring program found that the overall average effect was not statistically significant, but that students who started further behind gained meaningfully, about 0.2 of a standard deviation, while stronger readers did not benefit and in some cases slipped. The lesson is not that tutoring fails. It is that tutoring works when it targets the specific child and the specific skill. General, one-size-fits-all sessions dilute the benefit for the children who need it most.

Are teachers trained to use AI in the classroom?

Mostly not yet. A 2026 analysis in Policy Options, drawing on data from the Future Skills Centre and the Conference Board of Canada, found that roughly 80 percent of educators reported little or no training in integrating generative AI into their teaching. The gap is not student enthusiasm, which is already high. It is adult readiness. For families, this means AI guidance at school is still uneven, so a household rule and a skilled teacher who models good AI use matter more, not less, while the system catches up.

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