Evidence map›Paper›PMID 36533015›Full record

ArticleFrontiers in psychology2022

The impact of computer-assisted technology on literacy acquisition during COVID-19-related school closures: Group-level effects and predictors of individual-level outcomes.

Caroline G Richter, Noam Siegelman, Kelly Mahaffy, Mark Van Den Bunt, Devin M Kearns, Nicole Landi, John Sabatini, Kenneth Pugh, Fumiko Hoeft

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% of its field
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

9 authors at 4 institutions in 3 countries.

Caroline G RichterDepartment of Psychology, University of Alabama at Birmingham, Birmingham, AL, United States.
Noam SiegelmanHaskins Laboratories, New Haven, CT, United States.
Kelly MahaffyDepartment of Psychological Sciences, University of Connecticut, Mansfield, CT, United States.
Mark Van Den BuntHaskins Laboratories, New Haven, CT, United States.
Devin M KearnsDepartment of Educational Psychology, Neag School of Education, Storrs, CT, United States.
Nicole LandiDepartment of Psychological Sciences, University of Connecticut, Mansfield, CT, United States.
John SabatiniDepartment of Psychology and Institute for Intelligent Systems, University of Memphis, Memphis, TN, United States.
Kenneth PughDepartment of Psychological Sciences, University of Connecticut, Mansfield, CT, United States.
Fumiko HoeftDepartment of Psychological Sciences, University of Connecticut, Mansfield, CT, United States.
Haskins Laboratories · USUniversity of Connecticut · USHebrew University of Jerusalem · ILUniversity of Memphis · US

Funding

Training in the Cognitive Neuroscience of CommunicationT32DC017703 · NIDCD · UNIVERSITY OF CONNECTICUT STORRS · PI Inge-Marie Eigsti, Emily B Myers · 2019 to 2026
$2.3M
6 · The paper itself

Abstract

Introduction: The COVID-19 pandemic led to school closure and loss of in-person instruction during the 2019-2020 academic year across the United States, which had a profound impact on the reading development of beginning readers. In this study we tested if a research-informed educational technology (EdTech) program-GraphoLearn-could help alleviate the COVID-19 slide. We also sought to understand the profiles of children who benefitted most from this EdTech program. Methods: We tested participants' ( Results: The difference between actual average reading growth and expected growth in a regular school year was not statistically significant. This suggests that children in our sample seem to be gaining reading skills as expected in a regular school year. Our multiple linear regression model (which accounted for Discussion: While lacking a control group, our preliminary results suggest that an EdTech program such as GraphoLearn may be a useful reading instructional tool during school shutdowns. In addition, our results suggest that practice with GraphoLearn was more effective and efficient when foundational instruction was already in place.

Indexed as

COVID-19early literacy skillseducation technologyGraphoLearnreading skills growth

Identifiers

PMID36533015
PMCPMC9755674
OpenAlexW4311106110

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.