Evidence map›Paper›PMID 42417007›Full record

ArticleCurationis2026

Exploring the benefits of online teaching and learning within a nursing programme at a higher education institution in Gauteng.

Sanele E Nene, Agnes Makhene

Abstract read
In one paragraph

Article in Curationis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sanele E NeneDepartment of Nursing, Faculty of Health Sciences, University of Johannesburg, Johannesburg. snene@uj.ac.za.
Agnes Makhene

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally, there is an abrupt shift from in-person to online teaching and learning, and institutions of higher education should ensure that no students are left behind from this revolution. A total of 73% of nurses in South Africa are Baby Boomers and Generation X, meaning they were born before technology and are struggling to navigate online teaching and learning platforms made accessible by the institution.

objectivesThis study aimed to explore and describe the lived experiences of post-basic student nurses on the benefits of online teaching and learning at a higher education institution.

methodA qualitative, exploratory, descriptive, contextual research design and phenomenological approach were adopted in this study. Data were collected from 10 participants using individual interviews and analysed following thematic analysis.

resultsOne central theme and three main themes emanated from this study. A central theme was that online teaching and learning offers efficient and flexible education for nursing students, while improving their technological competencies. Main themes are that online teaching and learning: (1) is convenient for students, (2) saves time and is cost effective and efficient for students, and (3) is flexible and improves students' knowledge and skills in technology.

conclusionThe institutions of higher education should realise the benefits of online teaching and learning to improve the quality of nursing graduates.Contribution: This article clarifies the benefits of online teaching and learning for nursing education in a South African context.

Indexed as

Education, DistanceEducation, NursingStudents, NursingTeachingEducation, Nursing, BaccalaureateHumansLearningQualitative ResearchSouth Africabenefitshigher educationinstitutionnursing educationonlineteaching and learning

Identifiers

PMID42417007
PMCPMC13348270

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.