Pu Song
Biographic Data
| ID | 6244767 |
|---|---|
| NAME | Pu Song |
| GIVEN NAMES | Pu |
| FAMILY NAME | Song |
| SIGNATURE | SONG P |
| AFFILIATIONS | Guiyang University |
| ORCID | 0000-0003-2295-0528 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Detection and prediction of transactional anomalies in blockchain based accounting using mining behavior with Autoencoder-LSTM
Redefining creativity differences for art students who use and those who do not use GenAI
This study employs network analysis to investigate differences in the core features of creativity between individuals using generative artificial intelligence (GenAI) and those who rely on individual effort without it. This nationwide study employed a stratified random sampling method across six universities, involving a total of 617 university students enrolled in art programs. The results indicate that the core features of creativity among stud…
Knowledge, belief, and self-efficacy towards autistic children in educational contexts
Predictive analysis of college students’ academic procrastination behavior based on a decision tree model
Predicting academic procrastination among college students in the context of a public crisis could provide essential academic support and decision-making strategies for higher education institutions to promote student psychological health. Notably, research focusing on predicting academic procrastination behavior among college students in the context of a global crisis is still limited. The purpose of this study is to address this gap by construc…
A bibliometric analysis of worldwide educational artificial intelligence research development in recent twenty years
No prominent works on this page.
A bibliometric analysis of worldwide educational artificial intelligence research development in recent twenty years
Predictive analysis of college students’ academic procrastination behavior based on a decision tree model
Predicting academic procrastination among college students in the context of a public crisis could provide essential academic support and decision-making strategies for higher education institutions to promote student psychological health. Notably, research focusing on predicting academic procrastination behavior among college students in the context of a global crisis is still limited. The purpose of this study is to address this gap by construc…
Detection and prediction of transactional anomalies in blockchain based accounting using mining behavior with Autoencoder-LSTM
Redefining creativity differences for art students who use and those who do not use GenAI
This study employs network analysis to investigate differences in the core features of creativity between individuals using generative artificial intelligence (GenAI) and those who rely on individual effort without it. This nationwide study employed a stratified random sampling method across six universities, involving a total of 617 university students enrolled in art programs. The results indicate that the core features of creativity among stud…
Knowledge, belief, and self-efficacy towards autistic children in educational contexts
Computer Science (2 works) · Machine learning (2 works) · Psychology (2 works) · Anomaly detection (1 work) · Art Education and Development (1 work) · Autism (1 work) · Autism spectrum disorder (1 work) · Autism Spectrum Disorder Research (1 work) · Bibliometrics (1 work) · Blockchain (1 work)