Latent profile analysis of online learning behavior in junior college nursing students in post epidemic era
10.3760/cma.j.cn211501-20220104-00037
- VernacularTitle:后疫情时代高职护生网络学习行为潜在剖面分析
- Author:
Huan LIU
1
;
Xuewen LI
;
Wenjuan QIAO
;
Mingyang YU
Author Information
1. 哈尔滨医科大学附属第一医院血液内科，哈尔滨 150000
- Keywords:
Students, nursing;
Online learning behavior;
Online learning self-efficacy;
Proactive personality;
Online learning attitude
- From:
Chinese Journal of Practical Nursing
2022;38(32):2524-2530
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the potential categories and influencing factors of online learning behavior in Junior college nursing students in post epidemic era.Methods:A total of 978 nursing students from Heilongjiang Nursing College in December 2021 were investigated by the general information questionnaire, Online Learning Behavior Scale, Online Learning Self-Efficacy Scale, Proactive Personality Scale and Online Learning Attitude Scale. The latent profile analysis and ordered multi-classification Logistic regression analyses were applied to identify the factors associated with the potential categories of online learning behavior.Results:The online learning behavior of nursing students were divided into 3 categories: outstanding(12.68%, 124/978), good(75.66%,740/978)and mediocrity(11.66%, 114/978). Gender, online learning self-efficacy, proactive personality and online learning attitude were predictors that influence the classification of potential profiles of online learning behavior in nursing students( P<0.05). Conclusions:There are 3 potential categories of online learning behavior in nursing students, and nursing educators should pay attention to the characteristics of online learning behaviors of different nursing students and take various effective measures to improve online learning behaviors of nursing students.
