Do phone bans in schools improve learning?
Phone bans may help low-achieving pupils' test scores, but studies find little wellbeing difference and some social downsides.
Covers: School-wide smartphone restrictions for pupils aged roughly 11–18. Home screen-time rules are out of scope.
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The short answer
Interpretation AI-organised, reviewedThe evidence now points in several directions depending on the outcome. On attainment, an analysis of English schools that banned mobile phones found test scores rose by about 6.4% of a standard deviation, with gains concentrated among low-achieving students and no significant effect on high achievers. A 2024 meta-analysis found a significant but modest overall effect (d = 0.162, p < 0.05), more pronounced for social wellbeing than for performance. On wellbeing, a 2025 study of 1,227 pupils aged 12–15 across 30 schools found no evidence of a wellbeing difference between restrictive and permissive policies (adjusted mean difference -0.48 on WEMWBS, 95% CI -2.05 to 1.06, p = 0.62), even though pupils at restrictive schools reported less phone use (-0.67 h) and social media use (-0.54 h) during school time. A 2026 Dutch study of 1,398 adolescents found no significant differences in wellbeing or bullying, but full bans were associated with lower student-teacher connectedness and, for girls, reduced school belonging. A 2024 study found no significant differences in problematic phone use, academic engagement or school belonging, with slightly higher bullying in the ban group.12345
- Evidence 19
- Interpretation 5
In brief
One study of English schools found test scores rose by about 6.4% of a standard deviation after a phone ban, with gains concentrated among low-achieving students and no significant effect on high achievers.1
Evidence-backedA 2024 meta-analysis found a significant but modest overall effect (d = 0.162), more pronounced for social wellbeing than for academic performance.3
Evidence-backedPupils at restrictive schools used phones and social media less during school time, but there was no evidence of a difference in overall weekday or weekend use.2
Evidence-backedA qualitative study found both restrictive and permissive phone policies have positive and negative impacts on pupil wellbeing, shaped by contextual factors.6
Evidence-backed
At a glance
The picture in numbers
Live · updated just now
6.4%
6 in every 100
1,227 pupils
- Phone use0.7 hours
- Social media use0.5 hours
1,398 adolescents
The evidence behind it
6 sources- Reviews of many studies1
- Other studies and data5
When it was published
Newest from 2026
| Source | Kind | Year |
|---|---|---|
| Ill Communication: Technology, distraction & student performance | Other studies and data | 2016 |
| School phone policies and their association with mental wellbeing, phone use, and social media use (SMART Schools): a cross-sectional observational study | Other studies and data | 2025 |
| To Ban or Not to Ban? A Rapid Review on the Impact of Smartphone Bans in Schools on Social Well-Being and Academic Performance | Reviews of many studies | 2024 |
| Disconnect To Reconnect: How Variations between Types of Smartphone Bans Influence Students' Well-being and Social Connectedness in Dutch Secondary Education. | Other studies and data | 2026 |
| “Phones off while school's on”: Evaluating problematic phone use and the social, wellbeing, and academic effects of banning phones in schools | Other studies and data | 2024 |
| How school phone policies influence adolescent phone use and wellbeing (SMART Schools): a qualitative comparative case study | Other studies and data | 2026 |
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What it means for you
Which fits you?
Pick the situation closest to yours. Each answer says what it rests on.
If you are weighing a ban mainly for its effect on exam results
the attainment evidence is mixed: one study of English schools reports about a 6.4% of a standard deviation gain concentrated among low-achieving students, while a meta-analysis finds only a small performance effect (d = 0.162).13
Evidence-backedIf you expect a school-wide ban to improve pupils' mental wellbeing
three studies found no evidence of a wellbeing difference between restrictive and permissive policies, though one found full bans associated with lower student-teacher connectedness and reduced school belonging for girls.245
Evidence-backedIf your goal is to reduce phone and social media use during the school day
pupils at restrictive schools reported about 0.67 fewer hours of phone use and 0.54 fewer hours of social media use during school time, but no evidence of a difference in overall weekday or weekend use.2
Evidence-backedIf your main concern is bullying and social climate
a meta-analysis found bans can reduce social problems such as bullying, and recommends bans be introduced alongside educational measures and evaluated regularly.3
Evidence-backedIf you are choosing between a partial and a full ban
a study of 1,398 Dutch adolescents found full bans were associated with lower student-teacher connectedness and, for girls, reduced school belonging, with no significant wellbeing or bullying differences.4
Evidence-backedIf you are designing or revising a policy rather than deciding for or against one
the wellbeing study's authors state that policies prohibiting phone use during the school day in their current form are not supported by the evidence and require further development, and a qualitative study found both restrictive and permissive policies have positive and negative wellbeing impacts shaped by context.26
Evidence-backedThe full story · 3 chapters
01
What the evidence says about grades
AI summary:One English study found test scores rose after a ban, mainly for low achievers, while a meta-analysis found only a small performance effect.
Evidence-backed: An analysis of English schools that banned mobile phones found student test scores improved by about 6.4% of a standard deviation after a ban. The gains were concentrated among low-achieving students, and there was no significant effect on high achievers.1
Evidence-backed: A 2024 meta-analysis found an overall effect size of d = 0.162 (p < 0.05) for smartphone bans, described as significant but modest. The effect was more pronounced in the domain of social wellbeing than in the performance domain, and the authors note the small effect on academic performance might be due to the limited number of studies.3
Interpretation: The attainment signal is mixed: one study reports a 6.4% of a standard deviation gain concentrated among low achievers, while the meta-analysis finds only a small performance effect. Neither establishes that the same gain would appear in other school systems, year groups or policy designs.13
02
What the evidence says about wellbeing, phone use and social outcomes
AI summary:Several studies found no wellbeing difference between restrictive and permissive schools, though full bans were linked to lower connectedness and belonging for girls.
Evidence-backed: In a study of 1,227 participants aged 12–15 across 30 schools, mean wellbeing (WEMWBS) was 47 (SD = 9), with no evidence of a difference between pupils at restrictive and permissive schools (adjusted mean difference -0.48, 95% CI -2.05 to 1.06, p = 0.62).2
Evidence-backed: Pupils at schools with restrictive policies did report lower phone use (-0.67 h, 95% CI -0.92 to -0.43, p = 0.00024) and lower social media use (-0.54 h, 95% CI -0.74 to -0.36, p = 0.00018) during school time. However, there was no evidence of differences in usage time on weekdays or weekends overall.2
Evidence-backed: A 2026 study of 1,398 Dutch adolescents across 24 schools (9 partial-ban, 15 full-ban) found no significant differences for any wellbeing or bullying outcomes. However, full bans were associated with lower student-teacher connectedness and, for girls, reduced school belonging.4
Evidence-backed: A 2024 study found that ban and no-ban school groups did not differ significantly in problematic phone use, academic engagement, and school belonging. Problematic phone use was reported by 2.6% of the sample. There was slightly higher bullying in the ban group, but bullying decreased significantly in both groups.5
Evidence-backed: The 2024 meta-analysis found the effect of smartphone bans was more pronounced in the domain of social wellbeing than in performance, and states that smartphone bans can reduce social problems such as bullying.3
Evidence-backed: A 2026 qualitative comparative case study of 40 focus groups in 7 English secondary schools (4 permissive, 3 restrictive) with 177 pupils, parents and staff found that both restrictive and permissive phone policies have positive and negative impacts on pupil wellbeing. Policies influenced wellbeing related to health, connectedness, learning, agency and resilience, and the development of safe and supportive environments, with impacts shaped by contextual factors.6
Interpretation: The wellbeing studies are cross-sectional or observational, so they cannot show whether restrictive policies cause wellbeing outcomes or whether schools with different intakes adopt different policies. The absence of a wellbeing difference is a finding of no detected association, not proof that policies have no effect on any pupil.24
Should secondary schools ban phones during the school day?
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03
Focus and classroom attention
AI summary:No source directly measures attention or focus, so claims about improved focus rest on inference from other measures.
Interpretation: No source directly measures attention or focus as an outcome. The attainment study reports test-score changes; the wellbeing study reports wellbeing, phone use and social media use; the 2024 study reports problematic phone use, academic engagement and school belonging. Claims about improved focus therefore rest on inference from these measures rather than direct evidence.125
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- 1Ill Communication: Technology, distraction & student performanceLabour Economics (Beland & Murphy)Published Apr 17, 2016Checked Sep 30, 2026
“Studying English schools that banned mobile phones, student test scores improved by about 6.4% of a standard deviation after a ban. Gains were concentrated among low-achieving students; there was no significant effect on high achievers.”
- 2School phone policies and their association with mental wellbeing, phone use, and social media use (SMART Schools): a cross-sectional observational studyThe Lancet Regional Health - Europe (Goodyear et al.)Published Feb 4, 2025Checked Sep 30, 2026
“We recruited 1227 participants (age 12-15) across 30 schools. Mean WEMWBS score was 47 (SD = 9) with no evidence of a difference between groups (adjusted mean difference -0.48, 95% CI -2.05 to 1.06, p = 0.62). Adolescents attending schools with restrictive, compared to permissive policies had lower phone (adjusted mean difference -0.67 h, 95% CI -0.92 to -0.43, p = 0.00024) and social media time (adjusted mean difference -0.54 h, 95% CI -0.74 to -0.36, p = 0.00018) during school time, but there was no evidence for differences when comparing usage time on weekdays or weekends. There is no evidence that restrictive school policies are associated with overall phone and social media use or better mental wellbeing in adolescents. The findings do not provide evidence to support the use of school policies that prohibit phone use during the school day in their current form, and indicate that these policies require further development.”
- 3To Ban or Not to Ban? A Rapid Review on the Impact of Smartphone Bans in Schools on Social Well-Being and Academic PerformanceEducation Sciences (Böttger & Zierer)Published Aug 20, 2024Checked Oct 4, 2026
“The meta-analysis yielded an overall effect size of d = 0.162 (p < 0.05). Smartphone bans have a significant, but modest, effect. This is more pronounced in the domain of social well-being than in the performance domain. Smartphone bans can reduce social problems, such as bullying. The small effect on academic performance might be due to the limited number of studies and effects. We recommend that smartphone bans be introduced in schools, accompanied by educational measures, and evaluated regularly. This can improve the social climate and reduce potential distractions in the classroom. Further research is needed to better understand the long-term effects on academic performance. The aim of a smartphone ban should be to prevent the misuse of these devices, for example, as a tool for bullying classmates, and to prevent their negative impact on learning processes. Alongside the bans, responsible use of the technology and an understanding of its potential should be taught. Ideally, a level of media literacy is achieved that makes a smartphone ban superfluous.”
- 4Disconnect To Reconnect: How Variations between Types of Smartphone Bans Influence Students' Well-being and Social Connectedness in Dutch Secondary Education.Journal of youth and adolescence (Vanluydt et al.)Published Jan 7, 2026Checked Oct 4, 2026
“However, there is currently no empirical evidence that stricter policies are more effective in achieving these intended benefits. The current study examined how variations in type of ban affect adolescents’ screentime, problematic social media use, well-being, social connectedness at school, and bullying. The sample consisted of Dutch adolescents from 24 schools (9 partial-ban schools and 15 full-ban schools) who participated in the 2024–2025 EPoSS Study (N = 1398; Mage = 16.2; SD = 1.2; 51.5% were female; 38.3% were in partial-ban schools and 61.7% in full-ban schools). No significant differences were found for any of the well-being or bullying outcomes. However, full bans were associated with lower student-teacher connectedness and, for girls, reduced school belonging. These findings indicate that stricter bans do not yield the intended benefits for students’ well-being or bullying and may even undermine students’ social connectedness at school.”
- 5“Phones off while school's on”: Evaluating problematic phone use and the social, wellbeing, and academic effects of banning phones in schoolsJournal of Behavioral Addictions (King et al.)Published Oct 21, 2024Checked Oct 4, 2026
“Problematic phone use was reported by 2.6% of the sample. Being older and a more frequent user of social media predicted lower phone ban compliance. Linear mixed models indicated that ban and no ban school groups did not differ significantly in terms of problematic phone use, academic engagement, and school belonging. There was slightly higher bullying in the ban group but bullying decreased significantly in both groups. Discussion: Imposing access restrictions may not affect the underlying psychological mechanisms that drive problematic phone use. Although these results indicate limited to no short-term benefits of the ban, further evaluation with more sensitive methodologies is recommended. Student-technology interactions in learning institutions should be continually monitored to determine the optimal balance to support student etiquette, learning, and wellbeing.”
- 6How school phone policies influence adolescent phone use and wellbeing (SMART Schools): a qualitative comparative case studySocial Science & Medicine (Goodyear et al.)Published Mar 18, 2026Checked Oct 4, 2026
“This qualitative comparative case study aimed to provide such explanatory data. Data were collected from 40 focus group interviews in 7 case study secondary schools in England (4 with permissive phone policies; 3 with restrictive phone policies), with 177 pupil, parent and school staff participants. Data were analysed using thematic analysis. Data show that both restrictive and permissive phone polices have positive and negative impacts on pupil wellbeing. School policies influenced aspects of wellbeing related to health, connectedness, learning, agency and resilience, and the development of safe and supportive environments. Impacts of policies on wellbeing were further shaped by contextual factors. This study presents a conceptual model to inform future research, policy, and practice concerning the ways in which phones-and school phone policies-may shape adolescent wellbeing. The findings underscore that interventions targeting phone use should be integrated within broader, holistic approaches to supporting adolescent wellbeing that operate across both school and out-of-school environments.”
How it changed
Published 2 times since Sep 30, 2026.
- Version 4Oct 4, 2026Live now
Added three newer studies: a 2024 meta-analysis finding a modest overall effect (d=0.162) stronger for social wellbeing than performance, a 2024 study finding no differences in problematic phone use, academic engagement or school belonging but slightly higher bullying in ban schools, a 2026 Dutch study finding no wellbeing or bullying differences but lower student-teacher connectedness and reduced school belonging for girls under full bans, and a 2026 qualitative study showing both policy types…
- The main finding was rewritten.
- Updated “What the evidence says about grades”.
- Updated “What the evidence says about wellbeing, phone use and social outcomes”.
- Version 3Sep 30, 2026
Initial Starting Map for the question of whether school-wide smartphone bans or restrictions improve grades, focus or wellbeing in pupils aged ~11–18. Built from two studies: a 2016 English-schools analysis finding test-score gains concentrated among lower achievers, and a 2025 cross-sectional study of 30 schools finding lower in-school phone and social media use but no wellbeing difference. No participant contributions yet, so experience and opinion layers are absent.
- First published version.
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Open questions
If attainment gains are concentrated among low-achieving students, how should a school weigh a policy that appears to help one group and leave high achievers unchanged?
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The wellbeing study's authors say current prohibitions need further development, and the 2026 Dutch study finds full bans may undermine social connectedness — what specific design changes (partial restrictions, age-appropriate rules, enforcement approach) would the evidence support testing?
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If in-school phone and social media time falls but overall weekday and weekend use does not, what is the pathway by which any attainment or wellbeing effect would occur?
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What do longer-term and experimental studies show about attainment, focus and wellbeing under school phone restrictions, beyond the cross-sectional and single-country evidence available here?
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