Background:  Nursing education institutions have had to change from face-to-face to online learning because of the coronavirus disease 2019 (COVID-19) pandemic. The online learning mode, however, had several challenges.

Objectives:  To explore and describe recommendations made to address the online learning challenges in nursing education during the COVID-19 pandemic.

Method:  This study adopted a narrative literature review to achieve its objectives. The search for the relevant literature used Google Scholar, ScienceDirect, African Journal (previously SAePublications), EBSCOhost, EBSCO Discovery Service and Scopus databases.

Results:  There were four findings identified from the literature search: provision of adequate resources, monitoring of academic dishonesty, provision of technical support and revision of the curriculum.

Conclusion:  More work in nursing education is necessary to address the challenges of adopting online learning during and after the COVID-19 pandemic. To meet the issues of online learning in nursing education, thorough preparations and safeguards are necessary.Contribution: The outcomes of this study will benefit nursing education by incorporating recommendations from many studies to overcome online learning issues in nursing education during the COVID-19 pandemic.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9634659PMC
http://dx.doi.org/10.4102/curationis.v45i1.2360DOI Listing

Publication Analysis

Top Keywords

online learning
28
nursing education
24
covid-19 pandemic
16
education covid-19
12
learning challenges
8
challenges nursing
8
learning
7
education
7
nursing
6
online
6

Similar Publications

Background: Many studies have examined the prevalence of acetabular version (AV) and femoral version (FV) abnormalities and their effect on patient-reported outcomes (PROs) after hip arthroscopy for femoroacetabular impingement syndrome (FAIS), but few have explored the prevalence and influence of combined version (CV) abnormalities.

Purpose: To (1) describe the distribution of AV, FV, and CV in the largest cohort to date and (2) determine the relationship between AV, FV, and CV and PROs after hip arthroscopy for FAIS.

Study Design: Cohort study; Level of evidence, 3.

View Article and Find Full Text PDF

Background: To summarize the statistical performance of machine learning in predicting revision, secondary knee injury, or reoperations following anterior cruciate ligament reconstruction (ACLR), and to provide a general overview of the statistical performance of these models.

Methods: Three online databases (PubMed, MEDLINE, EMBASE) were searched from database inception to February 6, 2024, to identify literature on the use of machine learning to predict revision, secondary knee injury (e.g.

View Article and Find Full Text PDF

Purpose: Free Open Access Medical Education (FOAMed) is an emergent phenomenon within medical education. The rise of FOAMed resources has meant that medical education needs no longer be confined to the lecture theatre or the hospital setting, but rather, can be produced and shared amongst any individual or group with access to internet and a suitable device. This study presents a review of the use of FOAMed resources by students as part of their university medical education.

View Article and Find Full Text PDF

Improving the screening ability of neuron-specific enolase on small cell lung cancer.

Lung Cancer

January 2025

Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing 210029, China. Electronic address:

Neuron-specific enolase (NSE) is one of the most common biomarkers of small cell lung cancer (SCLC) and is widely used in lung cancer screening. But its specificity is affected by many factors. Using residual correction and machine learning, corrected NSE and its reference range were constructed based on metabolic factors and smoking history affecting NSE in the training set of 48,009 healthy individuals recruited from the First Affiliated Hospital of Nanjing Medical University.

View Article and Find Full Text PDF

The coherent spin waves, magnons, can propagate without accompanying charge transports and Joule heat dissipation. Room-temperature and long-distance spin waves propagating within nanoscale spin channels are considered promising for integrated magnonic applications, but experimentally challenging. Here we report that long-distance propagation of chiral magnonic edge states can be achieved at room temperature in manganite thin films with long, antiferromagnetically coupled spin spirals (millimetre length) and low magnetic Gilbert damping (~3.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!