Evidence map›Paper›PMID 36453818›Full record

ArticleCurationis2022

Nurse lecturers' experiences with online teaching during the pandemic at a public university in Gauteng, South Africa.

Andile G Mokoena-de Beer, Sophy M Moloko

Abstract read
In one paragraph

Article in Curationis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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.

Andile G Mokoena-de BeerNursing Science Department, School of Health Care Sciences, Sefako Makgatho Health Sciences University, Pretoria. andile.mokoena@smu.ac.za.
Sophy M Moloko

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNurses' training has been mostly face-to-face in the South African context. This mode of delivery was linked to producing nurses who are critical thinkers, problem solvers and competent in practical skills. However, the emergence of coronavirus disease 2019 (COVID-19) accelerated the need for online teaching in nursing. Nurse lecturers were forced to teach online in order to save the academic project, despite concerns about the competencies and calibre of nurses produced through online teaching.

objectivesThis study aimed to explore and describe nurse lecturers' experiences with online teaching during the COVID-19 pandemic at a public university in Gauteng, South Africa.

methodA qualitative, exploratory design was utilised. Six nurse lecturers - two males and four females - were purposefully selected to participate in this study. Data were collected through in-depth interviews to obtain rich, thick descriptions from the nurse lecturers who experienced online teaching. Content analysis was used to analyse the data.

resultsFive themes emerged as, (1) challenges related to the learner management system; (2) challenges related to competency; (3) factors out of the span of control of the lecturer; (4) indirect benefits of online teaching; and (5) recommendations to facilitate the smooth delivery of online teaching.

conclusionThe findings established that nurse lecturers experienced challenges when teaching online, which resulted in frustrations and discomfort for lecturers.Contribution: The study revealed the challenges nurse lecturers faced while teaching online. It highlights the need for nurse lecturers to be trained and supported to enhance online teaching and learning.

Indexed as

COVID-19PandemicsFemaleHumansLearningMaleSouth AfricaUniversitiesexperienceslecturernursingonline teachingpublic university

Identifiers

PMID36453818
PMCPMC9724043

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.