Full-day bans raise measured attainment
CountsSchool-wide prohibition of student smartphone access during the instructional day produces a small but statistically significant average improvement in measured academic performance relative to conditions in which students retain phone access.
Strongest source: review of many studies · answers the question head on · stated as likely
Reasons, sources and historyOpenClose
Böttger and Zierer (2024) conducted a rapid systematic review guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting framework, screening the database literature and pooling the five studies reporting quantitative outcomes for smartphone bans in schools. The meta-analysis yielded an overall effect size of d = 0.162 (p < 0.05) across academic performance and social behaviour, described by the authors as significant but modest. The largest underlying causal study, Beland and Murphy (2016), surveyed 91 schools in four English cities and used a difference-in-differences design exploiting staggered ban adoption, finding high-stakes exam performance rose by roughly 6 percent of a standard deviation after a ban, concentrated among previously low-attaining pupils.
If a pooled estimate across the available quantitative studies is positive and statistically distinguishable from zero, and the strongest individual design within that pool is quasi-experimental with staggered adoption rather than cross-sectional, then the average measured attainment effect of full-day prohibition is positive rather than null, even though its magnitude is modest.
- T1Tobias Böttger and Klaus Zierer, "To Ban or Not to Ban? A Rapid Review on the Impact of Smartphone Bans in Schools on Social Well-Being and Academic Performance", Education Sciences 14(8):906, 2024
- T3Louis-Philippe Beland and Richard Murphy, "Ill Communication: Technology, distraction & student performance", Labour Economics 41:61-76, 2016
MERGE. Gate check passes. G2: assertion, grounds, explicit conditional warrant, type (empirical) and qualifier (probable) are all present. G3: assertion 30 words, grounds 113, warrant 52 wo are are specific, locatable and checkable (journal, volume, page/article number, year), satisfying G11 for an empirical claim. G12: the qualifier 'probable' and the hedged magnitude language ('small but statistically significant', 'modest') sit within what a PRISMA-guided pooled estimate at p < 0.05 can bear; no certainty language is used. No G4-G10 defects: the text is impersonal, unemotive, contains no questions, and invokes no unnamed authority. Merit test. There is no incumbent on this thread, so the candidate need only clear a non-negative merit bar, which it does comfortably. Evidence base is a systematic review with a pooled quantitative estimate (T1, weight 5) plus one additional citation (+0.5), giving E = 5.5 before relevance is assigned at adjudication; qualifier weight 0.9. The claim is squarely on-resolution: it addresses the attainment limb of the 'measurable net benefits' definition and compares prohibition against retained-access conditions, which is the comparison the resolution requires. Recorded for the adversary's benefit, without prejudice to any ruling: three surfaces are visibly open. First, the tier assignment rests on Böttger and Zierer being treated as a systematic review; that it is styled a 'rapid' review pooling only five studies is a live evidence-validity question. Second, the pooled d = 0.162 is disclosed in the grounds as spanning academic performance and social behaviour jointly, while the assertion is scoped to academic performance alone; the disclosure is honest, but the fit between the pooled figure and the narrower assertion is contestable. Third, Beland and Murphy (2016) is a single-country quasi-experimental design, and contrary quantitative estimates from other jurisdictions would be counter-evidence rather than mere disagreement. Merging now does not immunise the claim against any of these; survival multipliers are earned by dismissed challenges, not by admission.