Evidence map›Paper›PMID 34163282›Full record

ArticleAdvances in medical education and practice2021

E-Learning for Undergraduate Medical Students.

Emad Tashkandi

Abstract read
In one paragraph

Article in Advances in medical education and practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  7. Determining attitudes toward e-learning: what are the attitudes of health professional students?Zeitschrift fur Gesundheitswissenschaften = Journal of public health · 2022
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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.

Emad TashkandiUmm AlQura University, College of Medicine, Makkah, Saudi Arabia.ORCID 0000-0002-0260-8947

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDisruption of education can lead to drastic changes and therefore, we need to maximize the benefits of e-technology. We aimed to explore changes in knowledge, attitudes, and challenges regarding e-learning during the COVID-19 pandemic and determine how e-learning has influenced academic performance.

methodsWe conducted a self-administrated electronic survey to collect information on undergraduate medical students' e-learning. We evaluated its validity, reliability and pilot tested the instrument.

resultsBetween August 7 and 19, 2020, we received 995 responses. The majority of respondents answered that they knew about the tools used for e-learning, such as mobile learning, links, online classes, e-assessment; 84% (n=836), 82% (n=815), 82% (n=811) and 80% (n=796), respectively. Two-third of the respondents gained fair/very good knowledge from online classes and discussion boards; 65% (n=635), and 63% (n=620), respectively. Regarding attitudes, less than half had "somewhat" adequate knowledge and proper training; 45% (n=449) and 36% (n=361), respectively, and less than a third had "somewhat" positive feelings; 29% (n=289). The reported challenges were poor Internet speed (55%, n=545) and the lack of clinical experience and physical examination skills (51%, n=512). There is a statistical difference between the test score for the first and second semesters for year 6, year 5, year 4, and year 2 (

conclusionMost respondents reported that they knew about e-learning tools and answered that they gained fair/very good amounts of knowledge accompanied by acceptable attitudes. The challenges need to be addressed to improve e-learning infrastructure. The transition to e-learning accompanied by increased academic performance.

Indexed as

COVID-19e-assessmente-learningmedical educationmobile-learning

Identifiers

PMID34163282
PMCPMC8214528

What OpenQuestion holds

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Registered trials

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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.