Distributing hardware without capable software produced no measurable effect on mathematics or language scores in a large randomized evaluation, as the article reports citing Cristia et al.¶
Claim · All claims
Evidence · 1 study · designr1·q2
Currency · newest study 2026 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Across 318 rural Peruvian schools, raising computers per student tenfold produced no measurable effect on mathematics or language test scores after fifteen months. → Guo 2026
Evidence¶
Guo 2026¶
Guo, Q., Tang, J., Huang, X., Lin, H.-Y., Zhong, Y., & Zhuang, X. (2026). LLMersion: A Local-First AI Agent Framework for Low-Cost Home Language Learning toward Educational Equity. https://arxiv.org/abs/2609.29672 doi:10.48550/arxiv.2609.29672
q2 · i? · design · r1
The article reports, citing Cristia et al. (2017), a randomized evaluation of the One Laptop per Child program in Peru. The review attributes the null: computers per student rose "from 0.12 to 1.18" with "no measurable effect on mathematics or language test scores". No effect size is printed.
"across 318 rural Peruvian schools, the intervention raised computers per student from 0.12 to 1.18, and after fifteen months produced no measurable effect on mathematics or language test scores"
Discussion¶
Related Claims¶
- Higher education digital divides are acute at MSIs, HBCUs, and TCUs, which have stark capability deficits in hardware, software, and broadband — related
- During spring 2020 remote instruction, internet connectivity and hardware/software problems interfered with course participation for large shares of undergraduates — related
- AI in adult education risks reinforcing existing inequalities via the digital divide, particularly for rural, low-income, and marginalized learners — related
- Hispanic and low-income students reported more challenges and technology problems after the shift online than non-Hispanic White and higher-income peers; rural students did not differ — related
- Brandt et al. (2013) finds a statistically significant positive effect of eMINTS on seventh- and eighth-grade mathematics achievement — reports the opposite
- eMINTS produces a statistically significant positive effect on state math measures (ES +0.15) in a 3-year rural Missouri study — reports the opposite
- Technology access problems during the COVID shift were more prevalent among minoritized students and students from lower-income households — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
olpc-randomized-hardware-null-no-score-effect |
title |
Distributing hardware without capable software produced no measurable effect on mathematics or language scores in a large randomized evaluation, as the article reports citing Cristia et al. |
description |
Distributing hardware without capable software produced no measurable effect on mathematics or language scores in a large randomized evaluation, as the article reports citing Cristia et al. |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
source_checked |
2026-10-20 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — guo-2026 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.