Evidence map›Paper›PMID 35600443›Full record

ReviewHeliyon2022

E-learning in higher education institutions during COVID-19 pandemic: current and future trends through bibliometric analysis.

Muhammad Ashraf Fauzi

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

1 author.

Muhammad Ashraf FauziFaculty of Industrial Management, Universiti Malaysia Pahang, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study is to provide a comprehensive review of e-learning in higher education institutions (HEIs) during the COVID-19 pandemic. This study presents current research issues and future progress in HEIs e-learning in the wake of the COVID-19 pandemic from 2019 to 2020 through the Web of Science (WOS) database. The analysis comprises citation analysis, co-citation analysis, and co-occurrence of keyword analysis. This bibliometric review provides essential insight for researchers to identify the most influential publications and determine the fundamental structure. Furthermore, this review facilitates future studies on the influential research trends and emerging topics. Findings present several streams of discussion based on the clusters identified from the three analyses. Subsequently, the theoretical and methodological implications on the emergence of new sub-fields and interesting future works in connection with e-learning in HEIs are presented. The outcome would aid scholars and practitioners in advancing the technology and aid towards e-learning in HEIs to ensure students' education can be sustained in the state of emergency.

Indexed as

Bibliometric analysisCOVID-19e-learningHigher education institutionsWeb of science

Identifiers

PMID35600443
PMCPMC9110018

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.