Jidong Wang
Biographic Data
| ID | 8169531 |
|---|---|
| NAME | Jidong Wang |
| GIVEN NAMES | Jidong |
| FAMILY NAME | Wang |
| SIGNATURE | WANG J |
| AFFILIATIONS | Huzhou University |
| ORCID | 0000-0002-7127-2244 |
| 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 |
The regulatory landscape of generative AI in education and the future of student psychological well-being — a comparative analysis of EU and Chinese legislation
Introduction As Generative AI deeply intervenes in personalized education systems as a core driving force, the subtle, cumulative psychological harm it may cause to minors (such as triggering automation bias and learned helplessness) has evolved into an urgent regulatory issue of global prominence. Although major economies are actively building regulatory frameworks, there is still a lack of systematic evaluation regarding the adequacy of these f…
Solving the Partition Problem
Towards a computer-assisted comprehensive evaluation of visual motor integration for children with autism spectrum disorder
Visual motor integration (VMI) is considered a key predictor of adaptive functioning in children with autism spectrum disorder (ASD). However, information regarding the VMI characteristics of children with ASD is scarce because existing assessment methods have focused on outcome measures while neglecting process measures due to the high failure rates in children with ASD. Therefore, the current pilot study was conducted to explore the appropriate…
No prominent works on this page.
Towards a computer-assisted comprehensive evaluation of visual motor integration for children with autism spectrum disorder
Visual motor integration (VMI) is considered a key predictor of adaptive functioning in children with autism spectrum disorder (ASD). However, information regarding the VMI characteristics of children with ASD is scarce because existing assessment methods have focused on outcome measures while neglecting process measures due to the high failure rates in children with ASD. Therefore, the current pilot study was conducted to explore the appropriate…
The regulatory landscape of generative AI in education and the future of student psychological well-being — a comparative analysis of EU and Chinese legislation
Introduction As Generative AI deeply intervenes in personalized education systems as a core driving force, the subtle, cumulative psychological harm it may cause to minors (such as triggering automation bias and learned helplessness) has evolved into an urgent regulatory issue of global prominence. Although major economies are actively building regulatory frameworks, there is still a lack of systematic evaluation regarding the adequacy of these f…
Solving the Partition Problem
Computer Science (2 works) · Perception (2 works) · AI in Service Interactions (1 work) · Applied Psychology (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Assistive Technology in Communication and Mobility (1 work) · Auction Theory and Applications (1 work) · Autism (1 work) · Autism spectrum disorder (1 work) · Autism Spectrum Disorder Research (1 work)