Y B Yu
Biographic Data
| ID | 5216813 |
|---|---|
| NAME | Y B Yu |
| GIVEN NAMES | Y B |
| FAMILY NAME | Yu |
| SIGNATURE | YU Y B |
| AFFILIATIONS | School of Archaeology and Museology Peking University 5 Yiheyuan Road 100871 Beijing China |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Synergizing AI and collaborative learning
This study investigated the effectiveness of an AI-enhanced collaborative learning (AICL) framework in supporting Chinese character acquisition among second-grade students. Through a quasi-experimental design, 68 students were assigned to three conditions: AI-enhanced collaborative learning, collaborative learning without AI, and traditional learning. The intervention implemented a six-stage framework integrating AI-powered learning application w…
The Chemical Composition and Production Area of Early Western Zhou Proto‐Porcelain Unearthed from Yejiashan Cemetery, Suizhou, China
The bodies and glazes of 27 early Western Zhou proto‐porcelain samples from Yejiashan cemetery, Hubei Province, were analysed using LA‐ICP–AES, SEM, XRD, a thermal expansion instrument and other analytical methods. The results indicated that the bodies of all samples were characterized by high silicon and low aluminium, and were made with porcelain stone raw materials found in the south of China. The glazes are typical of high‐temperature calcium…
No prominent works on this page.
The Chemical Composition and Production Area of Early Western Zhou Proto‐Porcelain Unearthed from Yejiashan Cemetery, Suizhou, China
The bodies and glazes of 27 early Western Zhou proto‐porcelain samples from Yejiashan cemetery, Hubei Province, were analysed using LA‐ICP–AES, SEM, XRD, a thermal expansion instrument and other analytical methods. The results indicated that the bodies of all samples were characterized by high silicon and low aluminium, and were made with porcelain stone raw materials found in the south of China. The glazes are typical of high‐temperature calcium…
Synergizing AI and collaborative learning
This study investigated the effectiveness of an AI-enhanced collaborative learning (AICL) framework in supporting Chinese character acquisition among second-grade students. Through a quasi-experimental design, 68 students were assigned to three conditions: AI-enhanced collaborative learning, collaborative learning without AI, and traditional learning. The intervention implemented a six-stage framework integrating AI-powered learning application w…
AI in Service Interactions (1 work) · Ancient history (1 work) · Archaeology (1 work) · Building materials and conservation (1 work) · Chemical composition (1 work) · Chemistry (1 work) · China (1 work) · Computer Science (1 work) · Cultural Heritage Materials Analysis (1 work) · Educational technology (1 work)