Deming Li
Biographic Data
| ID | 5600688 |
|---|---|
| NAME | Deming Li |
| GIVEN NAMES | Deming |
| FAMILY NAME | Li |
| SIGNATURE | LI D |
| AFFILIATIONS | Jilin International Studies University |
| ORCID | 0000-0001-7145-9263 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1995 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Structural equation modeling and validation of virtual learning community constructs based on the Chinese evidence
Purpose The aim of this study is to develop a digital humanities virtual learning community and investigate the diverse factors influencing its development or advancement through the application of a structural equation model. This research seeks to provide a comprehensive understanding of the growth and sustainability of digital humanities virtual learning communities.Methods A self-designed scale was administered to survey college students resi…
Teachers’ digital intelligence learning competence (TDILC)
Under the global background of AI education, current research has focused on the static digital literacy or competence of teachers, while studies exploring the dynamic teachers' digital intelligence learning competence (TDILC) are relatively scarce. This study aims to conduct a cross-cultural comparison to reveal the current status of TDILC development and to explore the practical mechanisms for promoting TDILC development. By integrating policy …
Optimizing personalised recommender systems for teachers’ digital learning models using deep learning algorithms
Digital Learning Models for Teachers is an important educational development to improve teaching effectiveness through digital technology. It creates learning experiences with personalization and customization by providing teachers with more accurate feedback on their teaching. However, the current problem is that the learning question types must be recommended according to the students’ needs, leading to inadequate learning effects. To solve the…
Retracted
An interactive teaching evaluation system for preschool education in universities based on machine learning algorithm
Breakthrough of the Mini-Cyclotron Mass Spectrometer for 14 C Analysis
We present results of current measurements on the super-sensitive mini-cyclotron as an accelerator mass spectrometer, successfully developed at Shanghai Institute of Nuclear Research (SINR). We describe new ideas and unique techniques adopted for increasing the transmission efficiency in the injection, acceleration and extraction region, for eliminating various backgrounds and for improving the precision of 14 C analysis, which have led to the br…
Breakthrough of the Mini-Cyclotron Mass Spectrometer for 14 C Analysis
We present results of current measurements on the super-sensitive mini-cyclotron as an accelerator mass spectrometer, successfully developed at Shanghai Institute of Nuclear Research (SINR). We describe new ideas and unique techniques adopted for increasing the transmission efficiency in the injection, acceleration and extraction region, for eliminating various backgrounds and for improving the precision of 14 C analysis, which have led to the br…
Breakthrough of the Mini-Cyclotron Mass Spectrometer for 14 C Analysis
We present results of current measurements on the super-sensitive mini-cyclotron as an accelerator mass spectrometer, successfully developed at Shanghai Institute of Nuclear Research (SINR). We describe new ideas and unique techniques adopted for increasing the transmission efficiency in the injection, acceleration and extraction region, for eliminating various backgrounds and for improving the precision of 14 C analysis, which have led to the br…
An interactive teaching evaluation system for preschool education in universities based on machine learning algorithm
Retracted
Structural equation modeling and validation of virtual learning community constructs based on the Chinese evidence
Purpose The aim of this study is to develop a digital humanities virtual learning community and investigate the diverse factors influencing its development or advancement through the application of a structural equation model. This research seeks to provide a comprehensive understanding of the growth and sustainability of digital humanities virtual learning communities.Methods A self-designed scale was administered to survey college students resi…
Teachers’ digital intelligence learning competence (TDILC)
Under the global background of AI education, current research has focused on the static digital literacy or competence of teachers, while studies exploring the dynamic teachers' digital intelligence learning competence (TDILC) are relatively scarce. This study aims to conduct a cross-cultural comparison to reveal the current status of TDILC development and to explore the practical mechanisms for promoting TDILC development. By integrating policy …
Optimizing personalised recommender systems for teachers’ digital learning models using deep learning algorithms
Digital Learning Models for Teachers is an important educational development to improve teaching effectiveness through digital technology. It creates learning experiences with personalization and customization by providing teachers with more accurate feedback on their teaching. However, the current problem is that the learning question types must be recommended according to the students’ needs, leading to inadequate learning effects. To solve the…
Computer Science (4 works) · Machine learning (4 works) · Artificial Intelligence (3 works) · Psychology (3 works) · Algorithm (2 works) · Educational technology (2 works) · Human–computer interaction (2 works) · Mathematics education (2 works) · Multimedia (2 works) · Online Learning and Analytics (2 works)