Feiya Su
Biographic Data
| ID | 9487446 |
|---|---|
| NAME | Feiya Su |
| GIVEN NAMES | Feiya |
| FAMILY NAME | Su |
| SIGNATURE | SU F |
| AFFILIATIONS | University of Malaya |
| ORCID | 0009-0004-6462-8603 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Efficiency or intensification? A systematic review of generative AI and academic workload in higher education
The rapid emergence of generative artificial intelligence (GenAI) in higher education has prompted critical discussions regarding its impact on faculty workload. Existing evidence is fragmented and lacks systematic synthesis, leaving it unclear whether GenAI alleviates or intensifies academic work. To address this gap, this study conducted a systematic review of 30 empirical studies following the Preferred Reporting Items for Systematic Reviews a…
Reconstructing Minyue Kingdom’s roads
This study utilizes high-resolution digital elevation models (DEM) and Landsat 8 remote sensing imagery to reconstruct the ancient road networks of the Minyue Kingdom in present-day Fujian province, China, focusing on the Qin dynasty (221 – 206 BCE) and Eastern Han dynasty (25 – 220). Using 12.5 m precision DEMs for elevation and Landsat 8 for land use and environmental data, a cost surface model was developed, leveraging the region’s stable geog…
No prominent works on this page.
Reconstructing Minyue Kingdom’s roads
This study utilizes high-resolution digital elevation models (DEM) and Landsat 8 remote sensing imagery to reconstruct the ancient road networks of the Minyue Kingdom in present-day Fujian province, China, focusing on the Qin dynasty (221 – 206 BCE) and Eastern Han dynasty (25 – 220). Using 12.5 m precision DEMs for elevation and Landsat 8 for land use and environmental data, a cost surface model was developed, leveraging the region’s stable geog…
Efficiency or intensification? A systematic review of generative AI and academic workload in higher education
The rapid emergence of generative artificial intelligence (GenAI) in higher education has prompted critical discussions regarding its impact on faculty workload. Existing evidence is fragmented and lacks systematic synthesis, leaving it unclear whether GenAI alleviates or intensifies academic work. To address this gap, this study conducted a systematic review of 30 empirical studies following the Preferred Reporting Items for Systematic Reviews a…
Archaeology (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Computer network (1 work) · Computer Science (1 work) · Cultural heritage (1 work) · Cultural Heritage Management and Preservation (1 work) · Employability (1 work) · Ethics and Social Impacts of AI (1 work) · Generative grammar (1 work) · Geography (1 work)