Liwei Ding
Biographic Data
| ID | 9487593 |
|---|---|
| NAME | Liwei Ding |
| GIVEN NAMES | Liwei |
| FAMILY NAME | Ding |
| SIGNATURE | DING L |
| AFFILIATIONS | Macao Polytechnic University |
| ORCID | 0009-0002-7011-927X |
| 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 |
Explainable machine learning for sustainable education
As generative artificial intelligence (GenAI) becomes increasingly embedded in education, students are using it to support knowledge acquisition, explore solutions, and stimulate creative thinking. At the same time, its convenience has raised concerns about overreliance. To assess and manage such dependence so that GenAI can be used sustainably in education, this study is based on questionnaire data collected from students at multiple universitie…
The Detachment of Function and the Return to Essence
Gamified education, as an emerging educational model, is gradually transforming traditional learning methods and has sparked widespread public discussion about its effectiveness and potential. According to connectivism, thinking and learning occur through the connections and interactions among a large number of units. Gamified education can serve as a form of connection, facilitating learners’ links and knowledge construction across different uni…
Industrial Heritage in China
This study investigates the spatial patterns and driving mechanisms of China’s industrial heritage using nationwide provincial-level geospatial data. It combines multiple spatial analysis techniques to identify distribution characteristics and applies a multi-model framework integrating Multi-Scale Geographically Weighted Regression and machine learning to assess the impacts of demographic, economic, climatic, and topographic factors. Results rev…
No prominent works on this page.
The Detachment of Function and the Return to Essence
Gamified education, as an emerging educational model, is gradually transforming traditional learning methods and has sparked widespread public discussion about its effectiveness and potential. According to connectivism, thinking and learning occur through the connections and interactions among a large number of units. Gamified education can serve as a form of connection, facilitating learners’ links and knowledge construction across different uni…
Industrial Heritage in China
This study investigates the spatial patterns and driving mechanisms of China’s industrial heritage using nationwide provincial-level geospatial data. It combines multiple spatial analysis techniques to identify distribution characteristics and applies a multi-model framework integrating Multi-Scale Geographically Weighted Regression and machine learning to assess the impacts of demographic, economic, climatic, and topographic factors. Results rev…
Explainable machine learning for sustainable education
As generative artificial intelligence (GenAI) becomes increasingly embedded in education, students are using it to support knowledge acquisition, explore solutions, and stimulate creative thinking. At the same time, its convenience has raised concerns about overreliance. To assess and manage such dependence so that GenAI can be used sustainably in education, this study is based on questionnaire data collected from students at multiple universitie…
Online Learning and Analytics (2 works) · Artificial Intelligence in Healthcare and Education (1 works) · Cognitive psychology (1 works) · Connectivism (1 works) · Cultural Heritage Management and Preservation (1 works) · Data pre-processing (1 works) · Distraction (1 works) · Driving factors (1 works) · E-Learning and Knowledge Management (1 works) · Entertainment (1 works)