Predicting Factors Influencing the Actual Use of E-Learning Platform among Medical Students in the Philippines: Unified Theory of Acceptance and Use of Technology Approach
Abstract
1 Introduction
2 Accessibility
2.1 Participants
Measure | Value | N | % |
---|---|---|---|
Gender | Male | 96 | 26.67% |
Female | 264 | 73.33% | |
Age | 18–24 years old | 204 | 56.67% |
25–34 years old | 150 | 41.67% | |
35–44 years old | 3 | 0.83% | |
Above 54 | 3 | 0.83% | |
Year Level | 1st Year | 33 | 9.17% |
2nd Year | 36 | 10.00% | |
3rd Year | 90 | 25% | |
4th Year (Junior Internship) | 186 | 51.67% | |
5th Year (Senior Internship) | 15 | 4.17% |
2.2 Questionnaire
3 Results
3.1 Multiple Linear Regression
Source | DF | Adj SS | Adj MS | F-Value | P-Value |
---|---|---|---|---|---|
Regression | 3 | 142.751 | 47.5835 | 53.35 | 0.001 |
PE | 1 | 3.654 | 3.6545 | 4.1 | 0.045 |
HB | 1 | 8.562 | 8.5625 | 9.6 | 0.002 |
IC | 1 | 16.096 | 16.0964 | 18.05 | 0.001 |
Error | 116 | 103.456 | 0.8919 | ||
Total | 119 | 246.206 |
Term | Coef | SE Coef | T-Value | P-Value | VIF |
---|---|---|---|---|---|
Constant | 0.468 | 0.37 | 1.26 | 0.209 | |
PE | 0.1793 | 0.0886 | 2.02 | 0.045 | 2.2 |
HB | 0.3052 | 0.0985 | 3.1 | 0.002 | 2.58 |
IC | 0.4148 | 0.0976 | 4.25 | 0 | 2.12 |
S | R-sq | R-sq(adj) | R-sq(pred) |
---|---|---|---|
0.944383 | 0.5798 | 0.5689 | 0.5422 |
4 Discussion
5 conclusion
Acknowledgments
References
Index Terms
- Predicting Factors Influencing the Actual Use of E-Learning Platform among Medical Students in the Philippines: Unified Theory of Acceptance and Use of Technology Approach
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New York, NY, United States
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