Yudhi Diputra
Biographic Data
| ID | 9027152 |
|---|---|
| NAME | Yudhi Diputra |
| GIVEN NAMES | Yudhi |
| FAMILY NAME | Diputra |
| SIGNATURE | DIPUTRA Y |
| AFFILIATIONS | State University of Padang |
| ORCID | 0009-0001-1380-6279 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
The Digital Edge
This study examines how Technology Readiness, Digital Learning Tools Usage, and Perceived Usefulness impact Student Engagement and Learning Outcomes within engineering and vocational education. The research framework explores 18 hypotheses focusing on both direct and indirect relationships among these variables. A quantitative approach with a cross-sectional survey design was meticulously employed, ensuring the thoroughness of the research proces…
Factors Shaping Student Readiness for Online Learning
Aim. This study explores factors shaping student readiness for online learning, focusing on learner control, technology readiness, perception of online learning, and lecturer readiness. Methods. The research employs Structural Equation Modeling (SEM) to analyse data collected from 573 electronics students at a university in Indonesia. SEM analysis examined the relationships between these dimensions and their impact on student readiness for online…
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The Digital Edge
This study examines how Technology Readiness, Digital Learning Tools Usage, and Perceived Usefulness impact Student Engagement and Learning Outcomes within engineering and vocational education. The research framework explores 18 hypotheses focusing on both direct and indirect relationships among these variables. A quantitative approach with a cross-sectional survey design was meticulously employed, ensuring the thoroughness of the research proces…
Factors Shaping Student Readiness for Online Learning
Aim. This study explores factors shaping student readiness for online learning, focusing on learner control, technology readiness, perception of online learning, and lecturer readiness. Methods. The research employs Structural Equation Modeling (SEM) to analyse data collected from 573 electronics students at a university in Indonesia. SEM analysis examined the relationships between these dimensions and their impact on student readiness for online…
Technology-Enhanced Education Studies (2 works) · Applied Psychology (1 work) · Computer Science (1 work) · Data collection (1 work) · E-Learning and COVID-19 (1 work) · Educational Leadership and Innovation (1 work) · Electronic learning (1 work) · Likert scale (1 work) · Mathematics education (1 work) · Multimedia (1 work)