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Using Learning Outcome Measures to assess Doctoral Nursing Education
Published on: June 21, 2010
Qualitative comparative analysis of learning engagement among Chinese part-time master's students in nursing
Min Wang1, Jian-Ou Xu2, Cai-Feng Luo2
1School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China; Peking University Cancer Hospital (Inner Mongolia Campus)/Affiliated Cancer Hospital Of Inner Mongolia Medical University, Hohhot, China.
Background:
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.
Methods:
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.
Results:
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.
Conclusions:
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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