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Chinese Nurses' Preferences for and Attitudes About e-Learning in Continuing Education: A Correlational Study.
- Source :
- Journal of Continuing Education in Nursing; Feb2020, Vol. 51 Issue 2, p87-96, 10p
- Publication Year :
- 2020
-
Abstract
- Background: This study aimed to examine nurses' preferences for and attitudes toward e-learning, identify factors that motivated or discouraged their e-learning participation, and also find the relationship between the nurse's attitude and their characteristics. Method: A total of 534 RNs from eight hospitals in Shanghai were recruited. Data were collected using a questionnaire that consisted of e-learning experiences, barriers, motivating factors, learning preferences, and attitudes toward e-learning. Results: Flexibility was the most important motivating factor and lack of time was the most common barrier to their participating in e-learning. Participants who had no e-learning experiences reported more barriers about lack of familiarity with e-learning and e-learning platforms. Nearly half of the participants exhibited positive attitudes toward e-learning. Regression analysis identified that nurses who were married, used computers frequently, and worked in rural hospitals were associated with more positive attitudes toward e-learning. Conclusion: Nurse educators and managers could provide more opportunities for nurses to increase their familiarity with online education technology and develop more high-quality online courses to meet nurses' learning needs. Nurse educators and managers could provide more opportunities for nurses to increase their familiarity with online education technology and develop more high-quality online courses to meet nurses' learning needs. [[J Contin Educ Nurs. 2020;51(2):87–96.] [ABSTRACT FROM AUTHOR]
- Subjects :
- ALTERNATIVE education
CHI-squared test
STATISTICAL correlation
RESEARCH methodology
MEDICAL cooperation
NURSES
NURSES' attitudes
CONTINUING education of nurses
QUESTIONNAIRES
RESEARCH
STATISTICAL sampling
SELF-evaluation
LOGISTIC regression analysis
CROSS-sectional method
DATA analysis software
DESCRIPTIVE statistics
Subjects
Details
- Language :
- English
- ISSN :
- 00220124
- Volume :
- 51
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Journal of Continuing Education in Nursing
- Publication Type :
- Academic Journal
- Accession number :
- 141380130
- Full Text :
- https://doi.org/10.3928/00220124-20200115-08