Zhongyu Wei
Biographic Data
| ID | 3931032 |
|---|---|
| NAME | Zhongyu Wei |
| GIVEN NAMES | Zhongyu |
| FAMILY NAME | Wei |
| SIGNATURE | WEI Z |
| AFFILIATIONS | Shaanxi Normal University |
| ORCID | 0000-0001-5973-3178 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
“What comes next?”
51) were observed during puzzle play, and children completed math assessments. Across question form, function, style, and content, we observed differences in parent questioning between the two samples: Parents in the American sample tended to ask scaffolding questions to engage children in collaborative problem solving, while parents in the Chinese sample more often adopted a structured pedagogical style, using guidance questions to steer childre…
Asset‐Based Implementation of Structured Adaptations in an Online Third‐Grade Content Literacy Intervention
Scaling up evidence‐based educational interventions presents challenges, particularly in adapting to new contexts while maintaining fidelity. Structured adaptations that integrate the strengths of experimental science (high fidelity) and improvement science (high adaptation) represent a novel design framework for supporting the equitable implementation of research‐based practices and programs. This preregistered study examined the effectiveness o…
Optimization referral rate design for hierarchical diagnosis and treatment system based on accessibility-utilization efficiency bi-objective collaboration
A Joint Model of Conversational Discourse and Latent Topics on Microblogs
Conventional topic models are ineffective for topic extraction from microblog messages, because the data sparseness exhibited in short messages lacking structure and contexts results in poor message-level word co-occurrence patterns. To address this issue, we organize microblog messages as conversation trees based on their reposting and replying relations, and propose an unsupervised model that jointly learns word distributions to represent: (1) …
No prominent works on this page.
A Joint Model of Conversational Discourse and Latent Topics on Microblogs
Conventional topic models are ineffective for topic extraction from microblog messages, because the data sparseness exhibited in short messages lacking structure and contexts results in poor message-level word co-occurrence patterns. To address this issue, we organize microblog messages as conversation trees based on their reposting and replying relations, and propose an unsupervised model that jointly learns word distributions to represent: (1) …
Optimization referral rate design for hierarchical diagnosis and treatment system based on accessibility-utilization efficiency bi-objective collaboration
Asset‐Based Implementation of Structured Adaptations in an Online Third‐Grade Content Literacy Intervention
Scaling up evidence‐based educational interventions presents challenges, particularly in adapting to new contexts while maintaining fidelity. Structured adaptations that integrate the strengths of experimental science (high fidelity) and improvement science (high adaptation) represent a novel design framework for supporting the equitable implementation of research‐based practices and programs. This preregistered study examined the effectiveness o…
“What comes next?”
51) were observed during puzzle play, and children completed math assessments. Across question form, function, style, and content, we observed differences in parent questioning between the two samples: Parents in the American sample tended to ask scaffolding questions to engage children in collaborative problem solving, while parents in the Chinese sample more often adopted a structured pedagogical style, using guidance questions to steer childre…
China (2 works) · Computer Science (2 works) · Adaptation (eye) (1 work) · Advanced Text Analysis Techniques (1 work) · Agency (philosophy) (1 work) · Artificial Intelligence (1 work) · Automatic summarization (1 work) · Child and Animal Learning Development (1 work) · Child development (1 work) · Child Development and Digital Technology (1 work)