Shemsedin Vehapi
Biographic Data
| ID | 7174706 |
|---|---|
| NAME | Shemsedin Vehapi |
| GIVEN NAMES | Shemsedin |
| FAMILY NAME | Vehapi |
| SIGNATURE | VEHAPI S |
| AFFILIATIONS | AAB College |
| ORCID | 0000-0003-1460-3470 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
University study programs in the AI era examined through a PRISMA guided meta analysis of global trends and regional disparities in the Western Balkans
Artificial intelligence (AI) in higher education is becoming very important research field because of its extensive use, the absence of a thorough framework governing its use, ethical issues, and effects on student learning outcomes. In light of the increasing global commitment to incorporating AI into higher educational institutions, this study synthesizes current empirical findings using the PRISMA 2020 meta-analysis framework and estimate furt…
Anxiety predictors among college students in Kosovo
This cross-sectional study aimed to investigate the prevalence and anxiety predictors among college students in Kosovo. Participants were 676 randomly sampled college students (M = 21.54, SD = 4.44), selected from three universities (two private) in the 2015/2016 academic year. Pearson chi-square, t-Test, ANOVA, linear and multiple regressions were used. The prevalence of anxiety was 33.6%. The symptoms were significantly related to gender (p = .…
No prominent works on this page.
Anxiety predictors among college students in Kosovo
This cross-sectional study aimed to investigate the prevalence and anxiety predictors among college students in Kosovo. Participants were 676 randomly sampled college students (M = 21.54, SD = 4.44), selected from three universities (two private) in the 2015/2016 academic year. Pearson chi-square, t-Test, ANOVA, linear and multiple regressions were used. The prevalence of anxiety was 33.6%. The symptoms were significantly related to gender (p = .…
University study programs in the AI era examined through a PRISMA guided meta analysis of global trends and regional disparities in the Western Balkans
Artificial intelligence (AI) in higher education is becoming very important research field because of its extensive use, the absence of a thorough framework governing its use, ethical issues, and effects on student learning outcomes. In light of the increasing global commitment to incorporating AI into higher educational institutions, this study synthesizes current empirical findings using the PRISMA 2020 meta-analysis framework and estimate furt…
Analysis of variance (1 work) · Anxiety (1 work) · Child and Adolescent Psychosocial and Emotional Development (1 work) · Clinical Psychology (1 work) · Clinical Psychology (1 work) · Computational and Text Analysis Methods (1 work) · Cross-sectional study (1 work) · Data collection (1 work) · Demography (1 work) · Demography (1 work)