Evidence map›Paper›PMID 40029930›Full record

ArticlePloS one2025

Digital inequalities and U.S. undergraduate outcomes over the first two years of the COVID-19 pandemic.

Vikki S Katz, Amy B Jordan, Katherine Ognyanova

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

3 authors.

Vikki S KatzSchool of Communication, Chapman University, Orange, California, United States of America.ORCID https://orcid.org/0000-0003-3871-5872
Amy B JordanSchool of Communication & Information, Rutgers University, New Brunswick, New Jersey, United States of America.
Katherine OgnyanovaSchool of Communication & Information, Rutgers University, New Brunswick, New Jersey, United States of America.ORCID https://orcid.org/0000-0003-3038-7077

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic necessitated major and rapid changes to undergraduate student learning conditions, but the longer-term consequences of those changes have yet to be fully understood. We assess how digital inequality-defined as challenges in accessing or maintaining a broadband internet connection and functional digital devices-affected undergraduates' advancement toward on-time graduation over the first two years of the pandemic (2020-2022). We utilize survey data from a representative sample of 1,106 undergraduates at Rutgers University-New Brunswick, a public, 4-year university located in New Jersey, USA. Respondents were undergraduates who had been enrolled in full-time student status throughout the first two years of the pandemic. We examine how digital inequality and other sociodemographic factors affected their persistence in full-time student status toward on-time graduation using structural equation modeling. Results show that students with inadequate or inconsistent internet and digital devices developed less remote learning proficiency than their better-connected peers. They were more likely to report having taken incomplete grades in specific courses and/or to have extended their time to graduation. We discuss the implications of these findings for developing digital components to campus emergency planning and for efforts to ensure more equitable learning experiences for undergraduate students in non-emergency periods in the aftermath of the pandemic.

Indexed as

COVID-19StudentsAdolescentAdultEducation, DistanceFemaleHumansMaleNew JerseyPandemicsSARS-CoV-2Socioeconomic FactorsSurveys and QuestionnairesUnited StatesUniversitiesYoung Adult

Identifiers

PMID40029930
PMCPMC11875331

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.