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Reaching the Offline Majority

A review of the global digital divide and the evidence for two low-tech ways to teach the 2.6 billion people the internet has never reached: tutoring by ordinary phone, and the offline "server-in-a-box."

Global Sovereign University · The Foundation for Global Instruction · June 2, 2026

The march toward a connected world has been deeply uneven. For all the talk of a borderless internet, a vast share of humanity remains structurally excluded — not only those beyond the reach of any signal, but a far larger group who live under coverage yet cannot use it, lacking a smartphone, affordable data, reliable electricity, or the literacy a screen demands. This review asks a practical question on behalf of those people: setting aside the dream of universal broadband, what actually works to educate them now, with the tools they already hold? The evidence points to two answers, and both are humble.

1. The scale of the divide

According to the International Telecommunication Union, the United Nations agency for digital technologies, an estimated 2.6 billion people — about 32 percent of the world's population — remained offline in 2024, down only modestly from a revised 2.8 billion the year before.1 The ITU's 2025 figures put the number still near 2.2 billion.2 The divide tracks poverty almost exactly: in high-income countries roughly 93 percent of people are online, against only about 27 percent in low-income countries.1

Of the 2.6 billion offline, an estimated 1.8 billion live in rural areas1 — precisely the places where a school is farthest away and a teacher hardest to find.

The usage gap is bigger than the coverage gap

It is tempting to assume the problem is missing cell towers. It is not, mostly. Industry analysis from the GSMA distinguishes the coverage gap (no signal at all) from the much larger usage gap (living under a mobile network but not using mobile internet).3 The usage gap is now the dominant form of exclusion, driven by the unaffordability of internet-capable devices, unreliable electricity to charge them, the cost of data, and gaps in literacy and digital skill. The implication is decisive: building more towers will not, by itself, reach these learners. Any solution must meet them on the hardware and conditions they already have.

2. Tutoring by ordinary phone

The most striking evidence concerns the simplest tool: the basic feature phone, which even very poor households often own. During and after the pandemic's school closures, researchers tested whether brief, structured tutoring delivered over plain phone calls could teach foundational skills.

The landmark result comes from a set of randomized controlled trials across five countries — India, Kenya, Nepal, the Philippines, and Uganda (building on the "ConnectEd" model first trialed in Botswana4). Pairing targeted instruction with short weekly phone calls produced average learning gains of 0.30 to 0.35 standard deviations — large by the standards of education research — with similar results whether government teachers or NGO staff made the calls.5 Because it needs no smartphone or data, the approach proved extraordinarily cost-effective, delivering up to four years of high-quality instruction for every $100 spent, ranking in the top percentile of evaluated education programs.5

A separate randomized experiment across 200 villages in rural Bangladesh ("telementoring," in which volunteers mentored mothers and tutored children by phone) found treated children scored about 0.75 standard deviations higher on a standardized test, with the gains persisting a year later.6

Automating the call: Interactive Voice Response

Live tutoring is powerful but labor-bound. Interactive Voice Response (IVR) — automated, pre-recorded audio lessons a caller navigates with the phone's keypad — trades some warmth for near-limitless scale. A randomized trial in Bangladesh delivered IVR audio lessons through a toll-free number to 1,763 primary-school children across 90 villages and improved literacy and numeracy scores by 0.60 standard deviations, with the largest benefits going to academically weaker children and those with less-educated caregivers — exactly the learners most systems leave behind.7

Why this matters for a toll-free hotline

A toll-free number, a structured lesson, and a patient voice on the line are not a thin substitute for education — the evidence shows they are among the most cost-effective interventions ever measured. This is the empirical foundation beneath GSU's GENO Hotline: a free tutor anyone can phone, in 32 languages, with no app, data, or literacy required.

3. The offline "server-in-a-box"

Where richer material is needed — video, interactive practice, a whole digital library — but no internet reaches, a second family of tools applies: low-cost micro-servers such as Kolibri, RACHEL, Kiwix, and Internet-in-a-Box, often run on a Raspberry Pi. Each broadcasts its own local wireless network, letting any nearby phone or laptop browse a large store of open educational resources entirely offline, consuming no mobile data.8 Their value is structural: they conform to local constraints rather than fighting them, and they keep working when connectivity is absent — or deliberately cut.

The peer-reviewed evidence here is promising but more modest than for phone tutoring, and honesty requires saying so. A study of offline servers and laptops in ten Indigenous schools in Guatemala ran for only a single, pandemic-shortened year — too short to establish statistically significant gains in test scores. What it did document, qualitatively, were consistent advantages: more standardized and differentiated instruction, more chances to practice, higher engagement, and access to quality resources where printed materials were scarce.9 Broader reviews of educational technology in low-income settings reach a compatible conclusion: the hardware helps most when paired with trained teachers and good content, not on its own.10

The honest reading: offline boxes are a proven, sustainable delivery method for quality content without internet, with strong feasibility evidence and encouraging qualitative outcomes — while the strongest quantitative proof of learning gains, so far, belongs to phone and voice tutoring.

4. What the evidence asks of us

Three conclusions follow. First, universal broadband is not coming soon enough to wait for; more than two billion people need a path to learning today. Second, closing the coverage gap will not be enough, because the usage gap — born of poverty, devices, and electricity — is larger. Third, the interventions that fit these realities are not speculative. Feature-phone and IVR tutoring deliver some of the most cost-effective learning gains ever measured (0.30 to 0.75 standard deviations across trials), and offline servers provide a durable, internet-free bridge to high-quality material.

This is the reasoning behind Reach Them All — a free phone tutor for the learner who is alone with a question, and an offline box of light for the village a signal never reaches. The science says both can work. Whether they reach anyone is, finally, a question of will.

Help open the line.

The evidence is clear; the rest is generosity. Become a founding sponsor and put a free tutor within reach of someone the world forgot.

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References

  1. International Telecommunication Union (ITU). Facts and Figures 2024: Internet use. Geneva, 2024. itu.int (2.6 billion offline in 2024; 1.8 billion of them rural; 93% vs 27% high- vs low-income use).
  2. International Telecommunication Union (ITU). 2025 connectivity estimates (approximately 2.2 billion people offline). Geneva, 2025.
  3. GSMA. The State of Mobile Internet Connectivity Report (on the coverage gap versus the larger usage gap). GSMA, annual series.
  4. Angrist, N., Bergman, P., & Matsheng, M. (2022). Experimental evidence on learning using low-tech when school is out. Nature Human Behaviour, 6(7), 941–950 (the ConnectEd phone-tutoring model, Botswana).
  5. Angrist, N., Ainomugisha, M., Bathena, S. P., Bergman, P., Crossley, C., Cullen, C., Letsomo, T., Matsheng, M., Panti, R. M., Sabarwal, S., & Sullivan, T. (2023). Building Resilient Education Systems: Evidence from Large-Scale Randomized Trials in Five Countries. NBER Working Paper 31208. doi.org/10.3386/w31208 (also SSRN 4440703). Phone-call tutorials: 0.30–0.35 SD; up to four years of schooling per $100.
  6. Hassan, H., Islam, A., Siddique, A., & Wang, L. C. Telementoring and Homeschooling During School Closures: A Randomized Experiment in Rural Bangladesh (200 villages; ~0.75 SD higher test scores, persisting one year later). SSRN 4605633.
  7. Wang, L. C., Vlassopoulos, M., Islam, A., & Hassan, H. (2023). Delivering Remote Learning Using a Low-Tech Solution: Evidence from a Randomized Controlled Trial in Bangladesh. Journal of Political Economy Microeconomics, 2(3). doi.org/10.1086/730456 (IVR audio lessons; +0.60 SD literacy and numeracy; 1,763 children, 90 villages).
  8. Castillo, N. M., Adam, T., & Haßler, B. (2022). Improving the impact of educational technologies on learning within low-income contexts. In Learning, Marginalization, and Improving the Quality of Education in Low-income Countries, 113–148. doi.org/10.11647/obp.0256.04. (Context on offline OER platforms such as Kolibri, RACHEL, Kiwix.)
  9. Wiebe, A., Crisostomo, L. J., Feliciano Perez, R., & Anderson, T. (2022). Comparative Advantages of Offline Digital Technology for Remote Indigenous Classrooms in Guatemala (2019–2020). Journal of Learning for Development, 9(1), 55–72. doi.org/10.56059/jl4d.v9i1.607. (Single, pandemic-shortened year; too short for statistically significant learning differences; qualitative advantages documented.)
  10. Castillo, N. M., Adam, T., & Haßler, B. (2022), as above — on the finding that educational technology yields the most benefit when combined with trained teachers and quality content.

Editorial note: this review reports only findings confirmed against their primary sources. A claim of a specific standardized-test gain attributed elsewhere to the Guatemala study was found not to appear in the published paper and has been excluded.