Evidence map›Paper›PMID 36976683›Full record

ArticleNursing reports (Pavia, Italy)2023

Examining Students' Online Learning Satisfaction during COVID-19 to Inform Post-Pandemic Program Planning.

Mohammad Alasagheirin, Jeanette M Olsen, Dalete Mota, Meg Lagunas, Benjamin D Bogle

Abstract read
In one paragraph

Article in Nursing reports (Pavia, Italy), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  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

5 authors.

Mohammad AlasagheirinDepartment of Nursing, University of Wisconsin-Eau Claire, Eau Claire, WI 54702, USA.
Jeanette M OlsenDepartment of Nursing, University of Wisconsin-Eau Claire, Eau Claire, WI 54702, USA.
Dalete MotaDepartment of Nursing, University of Wisconsin-Eau Claire, Eau Claire, WI 54702, USA.
Meg LagunasDepartment of Nursing, University of Wisconsin-Eau Claire, Eau Claire, WI 54702, USA.ORCID 0000-0002-6064-1761
Benjamin D BogleDepartment of Nursing, University of Wisconsin-Eau Claire, Eau Claire, WI 54702, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudent satisfaction is one of five pillars of quality online learning and is associated with academic achievement. This study aimed to examine nursing students' satisfaction with online learning during COVID-19, their desire to continue online classes, and associated factors.

methodsA cross-sectional survey was completed by 125 nursing students from a public university. The students' satisfaction was measured with the Student's Satisfaction Towards Online Learning Questionnaire. Demographics, stress, and resilience were also measured. Data were analyzed using descriptive statistics and multiple logistic regression.

resultsFewer than half (41.8%) of students were satisfied with online learning. Just over half (51.2%) did not want to continue with online classes. The strongest predictor of satisfaction was course management and coordination. The strongest predictor for a preference to continue with online classes was the instructor's characteristics.

conclusionsConsidering the trend of providing more online education to nursing students, instructors should be prepared for excellence in online course management and coordination as the instructors have a fundamental role in students' satisfaction with online learning. Further examination of nursing students' satisfaction with online learning during the pandemic may yield valuable insights for post-pandemic program planning.

Indexed as

nursing educationonline learningresiliencesatisfactionstress

Identifiers

PMID36976683
PMCPMC10057258

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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.