Hazrati Husnin
Biographic Data
| ID | 8239781 |
|---|---|
| NAME | Hazrati Husnin |
| GIVEN NAMES | Hazrati |
| FAMILY NAME | Husnin |
| SIGNATURE | HUSNIN H |
| AFFILIATIONS | National University of Malaysia |
| ORCID | 0000-0002-6165-2411 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A study on the factors influencing university students’ subjective well-being based on machine learning methods
Subjective well-being is a key area of research in psychology. Based on survey data from 384 university students, this study employed automated machine learning methods to construct a predictive model of subjective well-being, in which the Support Vector Machine (SVM) model performed best, achieving an overall prediction accuracy of 81.81%. The results indicate that the overall subjective well-being of the current university student population is…
Mitigating the Covid-19 pandemic
As Covid-19 cases increased rapidly in Malaysia, the Movement Control Order was imposed nationwide by the government, resulting in immediate closure of schools and universities. Consequently, teaching and learning were instantaneously transformed into distance and remote formats. This article offers a snapshot into how teacher educators and student teachers, coped with the unprecedented situation. We also share our reflections and examination of …
No prominent works on this page.
Mitigating the Covid-19 pandemic
As Covid-19 cases increased rapidly in Malaysia, the Movement Control Order was imposed nationwide by the government, resulting in immediate closure of schools and universities. Consequently, teaching and learning were instantaneously transformed into distance and remote formats. This article offers a snapshot into how teacher educators and student teachers, coped with the unprecedented situation. We also share our reflections and examination of …
A study on the factors influencing university students’ subjective well-being based on machine learning methods
Subjective well-being is a key area of research in psychology. Based on survey data from 384 university students, this study employed automated machine learning methods to construct a predictive model of subjective well-being, in which the Support Vector Machine (SVM) model performed best, achieving an overall prediction accuracy of 81.81%. The results indicate that the overall subjective well-being of the current university student population is…
2019-20 coronavirus outbreak (1 work) · Animal learning (1 work) · Computer Science (1 work) · Distance education (1 work) · Educational Technology and Pedagogy (1 work) · Experimental psychology (1 work) · Higher education (1 work) · Innovative Teaching Methods (1 work) · Mathematics education (1 work) · Medicine (1 work)