Yu Zeyuan
Biographic Data
| ID | 6689990 |
|---|---|
| NAME | Yu Zeyuan |
| GIVEN NAMES | Yu |
| FAMILY NAME | Zeyuan |
| SIGNATURE | ZEYUAN Y |
| AFFILIATIONS | Southwest University |
| ORCID | 0009-0001-9160-2685 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Revisiting the Research on ChatGPT Integration in Higher Education
This systematic review aims to explore the ethical implications of ChatGPT use in higher education, evaluate stakeholder perceptions, and offer practical recommendations to address the emerging ethical dilemmas. The study employed the PRISMA-based Systematic Literature Review (SLR) methodology. Peer-reviewed articles published in English from 2022 to 2025 were sourced, and a total of 26 studies were identified, screened, and analyzed based on def…
Impact of teachers’ leadership styles and motivation on the students’ academic achievement in public schools of Karachi, Pakistan
Deep Learning and Brain Science
Deep learning is based on a brain-inspired model of learning and memory. Why are they essential? Deep learning architectures are based on how the brain works and how it retains information (using mechanisms like synaptic plasticity, spike-timing-dependent plasticity (STDP), and Hierarchical processing). These models connect cognitive neuroscience with educational technology, allowing educators to tailor learning modules to how students mentally p…
No prominent works on this page.
Deep Learning and Brain Science
Deep learning is based on a brain-inspired model of learning and memory. Why are they essential? Deep learning architectures are based on how the brain works and how it retains information (using mechanisms like synaptic plasticity, spike-timing-dependent plasticity (STDP), and Hierarchical processing). These models connect cognitive neuroscience with educational technology, allowing educators to tailor learning modules to how students mentally p…
Revisiting the Research on ChatGPT Integration in Higher Education
This systematic review aims to explore the ethical implications of ChatGPT use in higher education, evaluate stakeholder perceptions, and offer practical recommendations to address the emerging ethical dilemmas. The study employed the PRISMA-based Systematic Literature Review (SLR) methodology. Peer-reviewed articles published in English from 2022 to 2025 were sourced, and a total of 26 studies were identified, screened, and analyzed based on def…
Impact of teachers’ leadership styles and motivation on the students’ academic achievement in public schools of Karachi, Pakistan
Academic achievement (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Artificial neural network (1 works) · Cognitive science (1 works) · Computer Science (1 works) · Deep learning (1 works) · Educational leadership (1 works) · Ethical issues (1 works) · Ethical theories (1 works)