Shufan Li
Biographic Data
| ID | 7754724 |
|---|---|
| NAME | Shufan Li |
| GIVEN NAMES | Shufan |
| FAMILY NAME | Li |
| SIGNATURE | LI S |
| AFFILIATIONS | Shanghai University of Sport |
| ORCID | 0000-0002-6366-7334 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Transformation of Graduate Engineering Education Through Artificial Intelligence Integration
This quasi-experimental study examines the impact of integrating Artificial Intelligence (AI) into graduate engineering education in Bangladesh, focusing on student learning outcomes. The study compares two groups: a treatment group that uses AI tools and methodologies in its curriculum and a comparison group that follows traditional teaching methods. The sample consists of graduate engineering students from a public university in Bangladesh, and…
The relationship between physical activity levels and depressive symptoms
Physical activity exerts both direct and indirect alleviating effects on depressive symptoms among university students, with flow state playing a significant partial mediating role. Intervention strategies should emphasize enhancing physical activity and optimizing exercise design to foster flow experiences
The prediction model of fall risk for the elderly based on gait analysis
The TGBT score, stride length, difference in standing time, and stride time are all protective factors associated with fall risk among the elderly. The developed risk prediction model demonstrates good discrimination and calibration, providing valuable insights for early screening and intervention in fall risk among older adults
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The prediction model of fall risk for the elderly based on gait analysis
The TGBT score, stride length, difference in standing time, and stride time are all protective factors associated with fall risk among the elderly. The developed risk prediction model demonstrates good discrimination and calibration, providing valuable insights for early screening and intervention in fall risk among older adults
The relationship between physical activity levels and depressive symptoms
Physical activity exerts both direct and indirect alleviating effects on depressive symptoms among university students, with flow state playing a significant partial mediating role. Intervention strategies should emphasize enhancing physical activity and optimizing exercise design to foster flow experiences
Transformation of Graduate Engineering Education Through Artificial Intelligence Integration
This quasi-experimental study examines the impact of integrating Artificial Intelligence (AI) into graduate engineering education in Bangladesh, focusing on student learning outcomes. The study compares two groups: a treatment group that uses AI tools and methodologies in its curriculum and a comparison group that follows traditional teaching methods. The sample consists of graduate engineering students from a public university in Bangladesh, and…
Artificial Intelligence in Healthcare and Education (1 works) · Balance, Gait, and Falls Prevention (1 works) · Biostatistics (1 works) · Curriculum (1 works) · Depressive symptoms (1 works) · Effects of Vibration on Health (1 works) · Engineering education (1 works) · Epidemiology (1 works) · Ethics and Social Impacts of AI (1 works) · Flow (mathematics (1 works)