Zexi Chen
Biographic Data
| ID | 9510334 |
|---|---|
| NAME | Zexi Chen |
| GIVEN NAMES | Zexi |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN Z |
| AFFILIATIONS | Northeast Agricultural University |
| ORCID | 0000-0001-9549-9323 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Unpacking the Effects of GenAI on Cultivating Students’ Computational Thinking
Computational thinking (CT) is crucial for enhancing students’ complex problem-solving abilities in the intelligent era. The emergence of generative artificial intelligence (GenAI) is profoundly transforming the global educational landscape and demonstrating significant potential for promoting personalized learning. However, the literature offers varied results on the effectiveness of using GenAI to cultivate students’ CT. This study comprehensiv…
AI-enhanced feedback on Chinese writing revision strategies among K-12 learners
This quasi-experimental study investigates the differential effects of AI-generated and teacher feedback on Chinese writing development among middle school students in U.S. immersion programs. While prior automated writing evaluation research has focused predominantly on English contexts, this study extends the evidence base to K-12 Chinese language instruction, a setting characterized by unique linguistic demands and growing enrollment. Results …
Multiview Deep Matrix Factorization for Shared Compact Representation
Multiview learning aims to learn beneficial patterns from heterogeneous data sources and has captured growing attention in recent years. Most of the previous research studies focused on searching for an effective feature embedding of downstream tasks using diverse optimization algorithms, however, very limited work has been conducted to explore the connection between multiview learning and deep neural networks of structure sharing hidden layers. …
No prominent works on this page.
Multiview Deep Matrix Factorization for Shared Compact Representation
Multiview learning aims to learn beneficial patterns from heterogeneous data sources and has captured growing attention in recent years. Most of the previous research studies focused on searching for an effective feature embedding of downstream tasks using diverse optimization algorithms, however, very limited work has been conducted to explore the connection between multiview learning and deep neural networks of structure sharing hidden layers. …
Unpacking the Effects of GenAI on Cultivating Students’ Computational Thinking
Computational thinking (CT) is crucial for enhancing students’ complex problem-solving abilities in the intelligent era. The emergence of generative artificial intelligence (GenAI) is profoundly transforming the global educational landscape and demonstrating significant potential for promoting personalized learning. However, the literature offers varied results on the effectiveness of using GenAI to cultivate students’ CT. This study comprehensiv…
AI-enhanced feedback on Chinese writing revision strategies among K-12 learners
This quasi-experimental study investigates the differential effects of AI-generated and teacher feedback on Chinese writing development among middle school students in U.S. immersion programs. While prior automated writing evaluation research has focused predominantly on English contexts, this study extends the evidence base to K-12 Chinese language instruction, a setting characterized by unique linguistic demands and growing enrollment. Results …
Action (physics) (1 work) · Advanced Image and Video Retrieval Techniques (1 work) · Artificial Intelligence (1 work) · Cluster analysis (1 work) · Computer Science (1 work) · Control (management) (1 work) · Deep learning (1 work) · EFL/ESL Teaching and Learning (1 work) · Eigenvalues and eigenvectors (1 work) · Embedding (1 work)