Do-it-yourself digital learning alone can exacerbate digital inequalities because learners hit a wall requiring direct guided instruction¶
Claim · All claims
Evidence · 1 study · qualitativer?·q2
Currency · newest study 2017 · 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? Trial-and-error self-learning is the predominant mode in public-access settings, but at some point people need direct and guided instruction. → Smythe 2017
Evidence¶
Smythe 2017¶
Smythe, S., & Breshears, S. (2017). Complicating Access: Digital Inequality And Adult Learning In A Public-Access Computing Space. The Canadian Journal for the Study of Adult Education, 29(1), 67-81. https://eric.ed.gov/?id=EJ1139334
q2 · i? · qualitative · r?
Ethnographic observation at the Digital Café drop-in program, where trial and error was the predominant learning mode. The authors report that "people hit a wall and need direct and guided instruction" beyond what self-directed experimentation provides, citing Matzat and Sadowski (2012).
"The practice of trial and error is one of experimentation and exploration; it was the predominant mode of learning in the Digital Café, and indeed in other forms of learning where proficiency is the goal and where the learning objectives are diverse (see van Dijk, 2006). But at some point, as Matzat and Sadowski (2012) also observed, people hit a wall and need direct and guided instruction."
Discussion¶
Related Claims¶
- Without attention, educational innovations tend to exacerbate rather than reduce learning gaps between well-off and lower-resourced individuals — a broader claim this one bears on
- AI in adult education risks reinforcing existing inequalities via the digital divide, particularly for rural, low-income, and marginalized learners — related
- Contrary to claims that AI will automatically engender a more democratic, equal, and sustainable world, the editorial argues these technologies tend to exacerbate existing inequalities, environmental degradation, and labour precarity — related
- Equitable access emerged as a prominent governance theme, with one-third of panelists explicitly mentioning equity or inclusion — related
- Digital access among adults on the margins is not a one-time event but an ongoing, contingent accomplishment requiring an assemblage of resources — related
- SAIL is designed to address second- and third-level digital divides through scaffolded skills and explicitly embedded equity competencies — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
diy-digital-learning-hits-wall |
title |
Do-it-yourself digital learning alone can exacerbate digital inequalities because learners hit a wall requiring direct guided instruction |
description |
Do-it-yourself digital learning alone can exacerbate digital inequalities because learners hit a wall requiring direct guided instruction |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2017 |
source_checked |
2026-10-20 |
generated |
by process:wiki-ingest on 2026-10-17 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — smythe-2017 |
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