Evidence map›Paper›PMID 36118102›Full record

ArticleTechnology in society2022

The digital divide in online learning in China during the COVID-19 pandemic.

Congbin Guo, Boshen Wan

Abstract read
In one paragraph

Article in Technology in society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Review
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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

2 authors.

Congbin GuoGraduate School of Education, Peking University, Beijing, 100871, China.
Boshen WanGraduate School of Education, Peking University, Beijing, 100871, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, online learning in the education sector has increasingly become prominent. While many believe that online learning has the potential to reduce inequity, the debate on whether it bridges the gap or widens it continues to persist. This study examined equity issues in online learning in China during the COVID-19 pandemic. The study used data from the Online Learning Survey of High School Students in China to analyze the influencing factors of the first, second, and third-level digital divide. The study found that the digital divide existed in online learning during the pandemic. It was primarily presented as differences in equipment quantity and network quality, students' adaptability to online teaching, and their offline learning outcomes. These findings suggest that the development of online learning alone cannot eliminate achievement gaps. The promotion of education equity requires efforts from various stakeholders and interventions specifically targeting disadvantaged students.

Indexed as

ChinaCovid-19Digital divideOnline learning

Identifiers

PMID36118102
PMCPMC9468296

What OpenQuestion holds

Textmetadata
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.