Evidence map›Paper›PMID 33284838›Full record

ArticlePloS one2020

Annotating digital text with phonemic cues to support decoding in struggling readers.

Patrick M Donnelly, Kevin Larson, Tanya Matskewich, Jason D Yeatman

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Patrick M DonnellyDepartment of Speech & Hearing Sciences, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-5850-7248
Kevin LarsonMicrosoft Corporation, Redmond, Washington, United States of America.
Tanya MatskewichMicrosoft Corporation, Redmond, Washington, United States of America.
Jason D YeatmanGraduate School of Education, Stanford University, Stanford, California, United States of America.

Funding

Biological origins of literacyR21HD092771 · NICHD · UNIVERSITY OF WASHINGTON · PI KUHL, PATRICIA K, YEATMAN, JASON D · 2018 to 2019
$435k
NICHD NIH HHS R21 HD092771
6 · The paper itself

Abstract

An advantage of digital media is the flexibility to personalize the presentation of text to an individual's needs and embed tools that support pedagogy. The goal of this study was to develop a tablet-based reading tool, grounded in the principles of phonics-based instruction, and determine whether struggling readers could leverage this technology to decode challenging words. The tool presents a small icon below each vowel to represent its sound. Forty struggling child readers were randomly assigned to an intervention or control group to test the efficacy of the phonemic cues. We found that struggling readers could leverage the cues to improve pseudoword decoding: after two weeks of practice, the intervention group showed greater improvement than controls. This study demonstrates the potential of a text annotation, grounded in intervention research, to help children decode novel words. These results highlight the opportunity for educational technologies to support and supplement classroom instruction.

Indexed as

ReadingChildDigital TechnologyDyslexiaFemaleHumansInternetLanguageLearningLiteracyMalePhonetics

Identifiers

PMID33284838
PMCPMC7721157

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.