Qualitative comparative analysis of learning engagement among Chinese part-time master's students in nursing

护理部 护士教育 学生参与度 心理学 定性研究 集合(抽象数据类型) 定性比较分析 医学教育 医学 教育学 社会学 计算机科学 社会科学 机器学习 程序设计语言
作者
Min Wang,Jian-Ou Xu,Cai-Feng Luo,Fei Lv,Lan-Zhi Wei
出处
期刊:Nurse Education Today [Elsevier]
卷期号:138: 106194-106194
标识
DOI:10.1016/j.nedt.2024.106194
摘要

Graduate nursing education plays an important role in the development of an innovative nation. Such education benefits the health of the community by cultivating competent and highly skilled nurses who can provide safe and quality nursing care. The number of students pursuing nursing degrees in China is insufficient, to meet the social demand for advanced practice nurses. The part-time Master of Nursing Specialist program for students offers flexible learning options for working nurses. However, the relatively low level of learning engagement exhibited by this group has raised concerns among policy-makers and nursing educators. An in-depth study of the factors affecting the learning engagement of part-time Master of Nursing Specialist postgraduates, especially with regard to their combined effect, is expected to provide a basis for improving the level of learning engagement among such students. This study used ability–motivation–opportunity–theory and fuzzy–set qualitative comparative analysis to analyze the relationships between five conditions (i.e., supportive campus environment, supportive work environment, student–faculty interaction, research motivation and time management ability) and learning engagement by reference to data collected from a sample of 225 part-time Master of Nursing Specialist students who were enrolled in China. The fuzzy–set qualitative comparative analysis results indicated that individual examples of these antecedent conditions were insufficient to influence learning engagement. In contrast, three combinations of the five conditions led to high levels of learning engagement, and substitutability and complementarity were observed among the various elements in the configuration. Research motivation, student-faculty interaction, a supportive work environment and time management are factors that can influence part-time postgraduates' learning engagement. Supervisors can enhance their research skills and expertise, hospitals can establish supportive environments for students, and students can strengthen their research motivation and time management abilities.
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