The Mediating Effect of Student Satisfaction on Self-Directed Learning and Benefits of E-Learning Undergraduate Nursing Education Programmes in Malaysia
E-learning has become an important and ubiquitous instructional tool across a broad range of programmes in institutions of higher education. This is evident today in nursing education whereby e-learning in a blended mode approach provides enormous opportunities for working nurses to further their st...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2021
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| Online Access: | http://ur.aeu.edu.my/1013/1/Chang%20Woan%20Ching%20-%20Final%20Thesis.pdf http://ur.aeu.edu.my/1013/2/Chang%20Woan%20Ching%20-%20Final%20Thesis-1-24.pdf http://ur.aeu.edu.my/1013/ https://online.fliphtml5.com/sppgg/ults/?1668396205761 |
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| Summary: | E-learning has become an important and ubiquitous instructional tool across a broad range of programmes in institutions of higher education. This is evident today in nursing education whereby e-learning in a blended mode approach provides enormous opportunities for working nurses to further their studies and to enhance their professional development and life-long learning. The purpose of this study was to identify the e-learning success factors in e-learning nursing undergraduate programmes in Malaysia. Specifically, the study aims to investigate the: (1) relationship among self-directed learning (SDL) abilities, e-learning quality, student satisfaction and e-learning benefits; and (2) the mediation effect of student satisfaction on e-learning benefits through self-directed learning abilities and e-learning quality. The conceptual framework for this study is based on DeLone and McLean Information Systems Success Model. This is a cross-sectional quantitative correlational study using a predictive design and multivariate analysis method. Stratified random sampling technique was applied to recruit 241 nursing students through an online survey. The Self-directed Learning Instrument (SDLI) and an E-learning Course Evaluation Survey were used to measure the independent and dependent variables of the study. The variance-based Partial Least Squares Structural Modeling (PLS-SEM) method was employed to analyse the possible effects on the relationships among the variables studied. The findings revealed statistically significant relationships among the factors of SDL abilities, e-learning quality, student satisfaction, and e-learning benefits. Student satisfaction was found to be the strongest predictor (β=0.418) for e-learning benefits followed by e-learning quality (β=0.261) and SDL abilities (β=0.178). In addition, the results showed that there is a mediating effect of student satisfaction on e-learning benefits through SDL abilities and e-learning quality. This study highlights the crucial role of learning environment needs among online learners. A collaborative effort between universities, educators, and support personnel is essential to ensure successful continuous e-learning education for student nurses. It is recommended that future studies further explore other possible factors in the model that could help to enhance successful e-learning in nursing education. |
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