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Subgroups of self-directed learning ability and their differences in professional identity among nursing undergraduates during the COVID-19 pandemic: a latent profile analysis

BACKGROUND: Promoting self-directed learning (SDL) among nursing undergraduates is crucial to meet the new requirements of the healthcare system and to adapt to online learning contexts during the COVID-19 pandemic. Therefore, identifying the classification features of SDL ability and developing tar...

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Autores principales: Zhou, Tianji, Yin, Yizhen, Zhang, Hanyi, Zhang, Jie, Xu, Xiaorong, Zhang, Jingping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10103029/
https://www.ncbi.nlm.nih.gov/pubmed/37059992
http://dx.doi.org/10.1186/s12912-023-01295-9
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author Zhou, Tianji
Yin, Yizhen
Zhang, Hanyi
Zhang, Jie
Xu, Xiaorong
Zhang, Jingping
author_facet Zhou, Tianji
Yin, Yizhen
Zhang, Hanyi
Zhang, Jie
Xu, Xiaorong
Zhang, Jingping
author_sort Zhou, Tianji
collection PubMed
description BACKGROUND: Promoting self-directed learning (SDL) among nursing undergraduates is crucial to meet the new requirements of the healthcare system and to adapt to online learning contexts during the COVID-19 pandemic. Therefore, identifying the classification features of SDL ability and developing targeted interventions are both critical. Professional identity (PI) may contribute to the cultivation of SDL ability, but their relationship remains relatively unknown. This study aimed to explore the subgroups of SDL ability and their differences in PI among nursing undergraduates during the COVID-19 pandemic. METHODS: A total of 2438 nursing undergraduates at four universities in China were enrolled in this cross-sectional study from November 2021 to February 2022. The Self-Directed Learning Scale of Nursing Undergraduates (SLSNU) and the Professional Identity Scale for Nursing Students (PISNS) were administered. A latent profile analysis was performed to explore SDL ability latent profiles. Multinomial logistic regression analysis was conducted to examine the predictors of profile membership, and a one-way analysis of variance was applied to compare the PI scores in each latent profile. RESULTS: Three latent profiles were identified and labeled ‘low SDL ability’ (n = 749, 30.7%), ‘low initiative of help-seeking’ (n = 1325, 54.4%) and ‘high SDL ability’ (n = 364, 14.9%). Multinomial logistic regression analysis suggested that nursing undergraduates who voluntarily chose a nursing major, had served as a student cadre, and had participated in clinical practicum were less likely to be included in the “low SDL ability” group. The average PI score was statistically different across the three profiles (F = 884.40, p < 0.001). CONCLUSION: The SDL ability among nursing undergraduates was divided into three profiles, and results show that promoting PI may effectively foster SDL ability. This study highlights the importance of targeted interventions by considering their distinct SDL ability patterns, especially during the COVID-19 pandemic. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12912-023-01295-9.
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spelling pubmed-101030292023-04-15 Subgroups of self-directed learning ability and their differences in professional identity among nursing undergraduates during the COVID-19 pandemic: a latent profile analysis Zhou, Tianji Yin, Yizhen Zhang, Hanyi Zhang, Jie Xu, Xiaorong Zhang, Jingping BMC Nurs Research BACKGROUND: Promoting self-directed learning (SDL) among nursing undergraduates is crucial to meet the new requirements of the healthcare system and to adapt to online learning contexts during the COVID-19 pandemic. Therefore, identifying the classification features of SDL ability and developing targeted interventions are both critical. Professional identity (PI) may contribute to the cultivation of SDL ability, but their relationship remains relatively unknown. This study aimed to explore the subgroups of SDL ability and their differences in PI among nursing undergraduates during the COVID-19 pandemic. METHODS: A total of 2438 nursing undergraduates at four universities in China were enrolled in this cross-sectional study from November 2021 to February 2022. The Self-Directed Learning Scale of Nursing Undergraduates (SLSNU) and the Professional Identity Scale for Nursing Students (PISNS) were administered. A latent profile analysis was performed to explore SDL ability latent profiles. Multinomial logistic regression analysis was conducted to examine the predictors of profile membership, and a one-way analysis of variance was applied to compare the PI scores in each latent profile. RESULTS: Three latent profiles were identified and labeled ‘low SDL ability’ (n = 749, 30.7%), ‘low initiative of help-seeking’ (n = 1325, 54.4%) and ‘high SDL ability’ (n = 364, 14.9%). Multinomial logistic regression analysis suggested that nursing undergraduates who voluntarily chose a nursing major, had served as a student cadre, and had participated in clinical practicum were less likely to be included in the “low SDL ability” group. The average PI score was statistically different across the three profiles (F = 884.40, p < 0.001). CONCLUSION: The SDL ability among nursing undergraduates was divided into three profiles, and results show that promoting PI may effectively foster SDL ability. This study highlights the importance of targeted interventions by considering their distinct SDL ability patterns, especially during the COVID-19 pandemic. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12912-023-01295-9. BioMed Central 2023-04-14 /pmc/articles/PMC10103029/ /pubmed/37059992 http://dx.doi.org/10.1186/s12912-023-01295-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhou, Tianji
Yin, Yizhen
Zhang, Hanyi
Zhang, Jie
Xu, Xiaorong
Zhang, Jingping
Subgroups of self-directed learning ability and their differences in professional identity among nursing undergraduates during the COVID-19 pandemic: a latent profile analysis
title Subgroups of self-directed learning ability and their differences in professional identity among nursing undergraduates during the COVID-19 pandemic: a latent profile analysis
title_full Subgroups of self-directed learning ability and their differences in professional identity among nursing undergraduates during the COVID-19 pandemic: a latent profile analysis
title_fullStr Subgroups of self-directed learning ability and their differences in professional identity among nursing undergraduates during the COVID-19 pandemic: a latent profile analysis
title_full_unstemmed Subgroups of self-directed learning ability and their differences in professional identity among nursing undergraduates during the COVID-19 pandemic: a latent profile analysis
title_short Subgroups of self-directed learning ability and their differences in professional identity among nursing undergraduates during the COVID-19 pandemic: a latent profile analysis
title_sort subgroups of self-directed learning ability and their differences in professional identity among nursing undergraduates during the covid-19 pandemic: a latent profile analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10103029/
https://www.ncbi.nlm.nih.gov/pubmed/37059992
http://dx.doi.org/10.1186/s12912-023-01295-9
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