A review reports that digital skills gaps span demographic groups and are associated with e-learning acceptance, job performance, and earnings¶
Claim · All claims
Evidence · 1 study · reviewr?·q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person · recheck by 2029: baselines and conditions change
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? Digital literacy skills impact e-learning acceptance, job performance, earnings, and economic prospects; workers with limited digital skills tend to earn lower incomes. → Zohal Shah 2024
q2 i? Digital skills gaps span age, race, education level, immigrant status, and parental status, and a usage gap exists among adolescents from different socioeconomic backgrounds. → Zohal Shah 2024
Evidence¶
Zohal Shah 2024¶
Zohal Shah, Marilys Galindo, Chioma Aso-Hernandez, Christina Luke Luna, Keun-woo Lee, Josh Weisgrau, Teresa Solorzano, Britney Jacobs. (2024). The Promise of Micro-credentials and Learning and Employment Record Technologies for Youth and K-12 Schools. Digital Promise. https://digitalpromise.dspacedirect.org/items/2a854754-2233-4d09-9112-5b2f668321e8 doi:10.51388/20.500.12265/224
q2 · i? · review · r?
Landscape review section on Technology Access and Adoption, citing Bergson-Shilcock (2020) and Mohammadyari & Singh (2015). The review also cites a "usage gap" among adolescents from different socioeconomic backgrounds (Ren et al., 2022). Review of others' findings, not new data.
"Digital literacy skills critically impact e-learning acceptance, job performance, earnings, and economic prospects"
Studies bearing on this claim¶
Do learners who differ in digital literacy differ in learning, engagement and later outcomes? This table gathers the studies behind this claim and the 11 narrower claims that bear on it: 9 distinct studies (6 associational, 2 review, 1 theoretical), q2–q3, 0 of 9 with an effect size coded. One row per study, codes as each entry records them; no effect is averaged and no verdict is drawn. Built by scripts/synthesize_claim.py from eval/synthesis/; a row that looks wrong is fixed on the claim it comes from.
Discussion¶
Learner Variables¶
- Digital Literacy — predictor: learners who differ on it differ in outcomes
Related Claims¶
- Digital skill gaps among U.S. workers are pronounced by race, while over 90 percent of jobs demand digital skills — a narrower finding that bears on this claim
- Digital skill gaps are large and racialized among U.S. earners, and digital skill level correlates with earnings — a narrower finding that bears on this claim
- Roughly 30 percent of U.S. students (15 to 16 million) lacked adequate internet or device access in late 2020, with rural, Native American, Black, and Latino students disproportionately affected — related
- Roughly 30% of core workplace skills changed in ten years and over 60% of job titles mentioning AI are non-tech roles — related
- Nearly 43 million U.S. adults lack the basic English literacy skills required to succeed in the workforce and achieve economic self-sufficiency — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
digital-literacy-gaps-span-demographics |
title |
A review reports that digital skills gaps span demographic groups and are associated with e-learning acceptance, job performance, and earnings |
description |
A review reports that digital skills gaps span demographic groups and are associated with e-learning acceptance, job performance, and earnings |
status |
review |
evidence_strength |
weak |
newest_evidence |
2024 |
recheck_by |
2029 |
generated |
by process:wiki-ingest on 2026-10-09 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — zohal-shah-2024 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.