Cited by 25Assistive Technology in Communication and MobilityEducational Technology in LearningDisability Education and Employment

Research and Practice

Edyburn, Dave L.·2006·Journal of Special Education Technology

Integrity signals

Registry

Crossref · 10.1177/016264340602100408

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • AI has the potential to act as a cognitive prosthesis to assist students with disabilities by providing new opportunities to learn and develop skills.

    “Artificial intelligence has the potential to act as a cognitive prosthesis, a construct first identified by Edyburn (2006), to assist students with disabilities by providing new opportunities to learn and develop skills.”

    From The Future of Artificial Intelligence in Special Education Technology (2023) · cites this paper as Edyburn (2006)

Cited by

Sorted by citations

Authors
Edyburn, D. L.
Affiliations
University of Wisconsin–Milwaukee (US)
Corresponding author
Edyburn, Dave L.
Venue
Journal of Special Education Technology
Published
2006-09
Volume
21
Issue
4
Pages
62-65
ISSN
  • 0162-6434 (ISSN-L)
  • 2381-3121
OpenAlex
W4255251889
Cited by
25
References
0
Citations by year
2023: 1 · 2022: 1 · 2021: 1 · 2020: 4 · 2019: 1 · 2017: 2 · 2016: 1 · 2015: 2 · 2014: 3 · 2012: 2
FWCI
4.66
Type
journal article
Language
en
Open access
closed
Locations
Journal of Special Education Technology (publishedVersion)
Topics
  • Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
  • Physical Sciences › Computer Science › Information Systems › Educational Technology in Learning
  • Social Sciences › Safety Research › Disability Education and Employment

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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