The item-quality and prediction work is part of a larger project aiming to make online math more accessible to students with visual impairments¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
Currency · newest study 2022 · not yet checked against its sources · not reviewed by a person · recheck by 2027: 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? This study is part of a larger project that aims to make online math more accessible to students with visual impairments, and the work advanced understanding of barriers and developed a new way to present math content online. → Kang Xue 2022
Evidence¶
Kang Xue 2022¶
Kang Xue, Elizabeth Barker. (2022). Using Artificial Intelligence (AI) to improve math accessibility for students with visual impairments. https://www.nwea.org/resources/using-artificial-intelligence-ai-to-improve-math-accessibility-for-students-with-visual-impairments/
q2 · i? · associational · r2
The brief's own summary statement: "This work advanced our understanding of barriers, and used cutting-edge technologies to develop a new way to better present math content online to improve accessibility and increase the opportunity to learn math for students for students with VI."
"This work advanced our understanding of barriers, and used cutting-edge technologies to develop a new way to better present math content online to improve accessibility and increase the opportunity to learn math for students for students with VI."
Discussion¶
Related Claims¶
- Three word embedding methods and three classifiers were introduced to predict item quality for accessible math assessments — a narrower finding that bears on this claim
- Math assessment items can be classified as high-quality or low-quality for students with visual impairments based on whether they measure achievement equally well for students with and without VI — a narrower finding that bears on this claim
- BVI students face material and instructional barriers: late STEM materials, error-laden tactile worksheets, and variable teacher graphic descriptions — related
- Auditory math access works best when the technology is familiar: Math Speak aided expression identification, and BVI students performed similarly to or slightly better than traditional methods with familiar apps — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
larger-project-online-math-accessibility-vi |
title |
The item-quality and prediction work is part of a larger project aiming to make online math more accessible to students with visual impairments |
description |
The item-quality and prediction work is part of a larger project aiming to make online math more accessible to students with visual impairments |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2022 |
recheck_by |
2027 |
generated |
by process:wiki-ingest on 2026-10-08 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — kang-xue-2022 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.