An evidence-informed resource exploring research, policy analysis, and expert commentary on digital technology use in schools — moving beyond "ban or embrace" toward purposeful implementation.
This resource curates research and policy information to support thoughtful conversations about screen time in K–12 education. The evidence consistently shows that what matters is how technology is used, not simply how much — with outcomes shaped by instructional design, educator support, equity of access, and developmental appropriateness.
Browse and search annotated studies, commentaries, and expert analysis. Filter by topic.
Review active screen time proposals across 20 states with 42 bills tracked.
Explore the four major evidence-based themes that cut across the research.
Click any entry to read the full annotation. Filter by topic area or source type, sort, or search by keyword.
42 bills across 20 states are currently active, recently advanced, or concluded. Bills span screen time limits, parental controls, state approval/registration requirements, and legislative studies. Click any bill for full details.
Across the research, four major themes emerge about what actually determines whether educational technology helps or hinders student learning.
Multiple studies find that the relationship between screen exposure and outcomes is not linear. A moderate dose of computer-assisted learning improved math achievement, but doubling the dosage produced no additional gains (Bettinger et al., 2022). What mattered was how learning time was structured, not the total screen minutes.
Randomized controlled trials show AI-enabled tutoring can improve final exam performance by ~0.15 standard deviations (Chung et al., 2025) and increase engagement by 60% (Agrawal et al., 2026). Bailey (2026) argues AI is most effective when it preserves productive struggle rather than supplying answers.
Three major reviews (Odgers & Jensen, 2020; Orben & Przybylski 2019a, 2019b) consistently find that associations between screen use and adolescent well-being are small, inconsistent, and highly context-dependent. The AAP's 2026 policy statement echoes this, shifting focus from time limits to digital literacy education (Graber, 2026).
Access to devices alone does not improve outcomes (Fallon, via SmartBrief 2025). Rochelle (2026) reanalyzed a Maine laptop study and found that what differentiated outcomes was instructional design and teacher professional development — not device presence. Racine (2026) argues for feature-based regulation of addictive design elements rather than blanket device bans.