Febri Prasetya
Biographic Data
| ID | 8118910 |
|---|---|
| NAME | Febri Prasetya |
| GIVEN NAMES | Febri |
| FAMILY NAME | Prasetya |
| SIGNATURE | PRASETYA F |
| AFFILIATIONS | State University of Padang |
| ORCID | 0000-0002-0871-3350 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A Comprehensive Bibliometric-Systematic Literature Review (B + SLR) of Microlearning Research
Artificial intelligence in personalized learning
This study investigates the role of Artificial Intelligence (AI) in personalized learning within tertiary and higher education contexts worldwide. Guided by the PRISMA 2020 framework (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), a systematic literature review of 25 Scopus-indexed articles published between 2019 and 2024 was conducted to map publication trends, identify dominant AI technologies, and synthesize the benefits,…
Harnessing artificial intelligence to revolutionize vocational education
This study conducts a bibliometric analysis of recent trends and emerging topics in the application of Artificial Intelligence (AI) in vocational education. AI technology holds significant potential to enhance accessibility, inclusivity, and equity in quality education. The research utilizes the Preferred Reporting Items for Systematic Reviews and Meta-Analyses approach to analyze publications from articles and conference papers published in the …
The impact of augmented reality learning experiences based on the motivational design model
This meta-analysis examined the impact of augmented reality learning experiences on the motivational design model to obtain findings related to student attention, material relevance, increased confidence, and student satisfaction; however, heterogeneity in the sample population of this study was ignored. The analysis utilized Preferred Reporting Items for Systematic Reviews and meta-analysis guidelines to logically define and communicate outcomes…
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The impact of augmented reality learning experiences based on the motivational design model
This meta-analysis examined the impact of augmented reality learning experiences on the motivational design model to obtain findings related to student attention, material relevance, increased confidence, and student satisfaction; however, heterogeneity in the sample population of this study was ignored. The analysis utilized Preferred Reporting Items for Systematic Reviews and meta-analysis guidelines to logically define and communicate outcomes…
Artificial intelligence in personalized learning
This study investigates the role of Artificial Intelligence (AI) in personalized learning within tertiary and higher education contexts worldwide. Guided by the PRISMA 2020 framework (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), a systematic literature review of 25 Scopus-indexed articles published between 2019 and 2024 was conducted to map publication trends, identify dominant AI technologies, and synthesize the benefits,…
Harnessing artificial intelligence to revolutionize vocational education
This study conducts a bibliometric analysis of recent trends and emerging topics in the application of Artificial Intelligence (AI) in vocational education. AI technology holds significant potential to enhance accessibility, inclusivity, and equity in quality education. The research utilizes the Preferred Reporting Items for Systematic Reviews and Meta-Analyses approach to analyze publications from articles and conference papers published in the …
A Comprehensive Bibliometric-Systematic Literature Review (B + SLR) of Microlearning Research
Psychology (2 works) · Applications of artificial intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Augmented reality (1 work) · Augmented Reality Applications (1 work) · Computer Science (1 work) · Digital Transformation in Industry (1 work) · Engineering (1 work) · Engineering Education and Technology (1 work) · Engineering ethics (1 work)