S J Shi
Biographic Data
| ID | 9584062 |
|---|---|
| NAME | S J Shi |
| GIVEN NAMES | S J |
| FAMILY NAME | Shi |
| SIGNATURE | SHI S J |
| AFFILIATIONS | Beijing University of Posts and Telecommunications |
| ORCID | 0000-0003-1682-6416 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Application of multi-agent systems in legal education
While traditional mock trials are foundational to legal education, the rise of generative AI offers novel pedagogical approaches. This study investigates an AI-powered multi-agent system as a new method for developing students’ core legal and cognitive skills. We compared the effects of multi-agent practice with the traditional self-directed group practice on law students' learning outcomes. Using a crossover experimental design, 30 undergraduate…
A study on the impact of Generative Artificial Intelligence supported Situational Interactive Teaching on students’ ‘flow’ experience and learning effectiveness — a case study of legal education in Ch…
The rapid advancement of Generative Artificial Intelligence Technology has increasingly drawn attention to its potential applications in the educational sector. This study aims to investigate the effects of Situational Interactive Teaching, facilitated by generative artificial intelligence, on students’ learning outcomes and flow experiences. A series of experiments were designed to compare the performance of a Generative Artificial Intelligence-…
No prominent works on this page.
A study on the impact of Generative Artificial Intelligence supported Situational Interactive Teaching on students’ ‘flow’ experience and learning effectiveness — a case study of legal education in Ch…
The rapid advancement of Generative Artificial Intelligence Technology has increasingly drawn attention to its potential applications in the educational sector. This study aims to investigate the effects of Situational Interactive Teaching, facilitated by generative artificial intelligence, on students’ learning outcomes and flow experiences. A series of experiments were designed to compare the performance of a Generative Artificial Intelligence-…
Application of multi-agent systems in legal education
While traditional mock trials are foundational to legal education, the rise of generative AI offers novel pedagogical approaches. This study investigates an AI-powered multi-agent system as a new method for developing students’ core legal and cognitive skills. We compared the effects of multi-agent practice with the traditional self-directed group practice on law students' learning outcomes. Using a crossover experimental design, 30 undergraduate…
Artificial Intelligence in Law (2 works) · Cognition (2 works) · Computer Science (2 works) · Mathematics education (2 works) · Psychology (2 works) · Artificial Intelligence (1 work) · Artificial Intelligence Applications (1 work) · Cognitive Load (1 work) · Generative grammar (1 work) · Human–computer interaction (1 work)