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

被引:13
|
作者
Zhou, Tianji [1 ]
Yin, Yizhen [1 ]
Zhang, Hanyi [2 ]
Zhang, Jie [3 ]
Xu, Xiaorong [4 ]
Zhang, Jingping [1 ]
机构
[1] Cent South Univ, Xiangya Sch Nursing, 172 Tongzipo Rd, Changsha 410013, Hunan, Peoples R China
[2] Cent South Univ, Xiangya Hosp, 87 Xiangya Rd, Changsha 410008, Hunan, Peoples R China
[3] Hunan Univ Chinese Med, Sch Nursing, 300 Xueshi Rd, Changsha 410208, Hunan, Peoples R China
[4] Hunan Aerospace Hosp, Nursing Dept, 189 Fenglin Rd, Changsha 410205, Hunan, Peoples R China
关键词
Self-directed learning; Professional identity; Latent profile analysis; Nursing undergraduates; COVID-19; Nursing education; STUDENTS; READINESS; PERCEPTIONS; EDUCATION;
D O I
10.1186/s12912-023-01295-9
中图分类号
R47 [护理学];
学科分类号
1011 ;
摘要
BackgroundPromoting 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.MethodsA 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.ResultsThree 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).ConclusionThe 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.
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页数:11
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