most citedAI Agent for Education: von Neumann Multi-Agent System Framework

7 citations · 18 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2025

DiaCDM: Cognitive Diagnosis in Teacher-Student Dialogues using the Initiation-Response-Evaluation Framework

Rui Jia, Yuang Wei, Ruijia Li +5

While cognitive diagnosis (CD) effectively assesses students' knowledge mastery from structured test data, applying it to real-world teacher-student dialogues presents two fundamen…

cs.AI2025★ 1 cited

How Real Is AI Tutoring? Comparing Simulated and Human Dialogues in One-on-One Instruction

Ruijia Li, Yuan-Hao Jiang, Jiatong Wang +1

Heuristic and scaffolded teacher-student dialogues are widely regarded as critical for fostering students' higher-order thinking and deep learning. However, large language models (…

cs.CY2025★ 1 cited

Agentic Workflow for Education: Concepts and Applications

Yuan-Hao Jiang, Yijie Lu, Ling Dai +3

With the rapid advancement of Large Language Models (LLMs) and Artificial Intelligence (AI) agents, agentic workflows are showing transformative potential in education. This study…

cs.AI2025★ 1 cited

A Study on Educational Data Analysis and Personalized Feedback Report Generation Based on Tags and ChatGPT

Yizhou Zhou, Mengqiao Zhang, Yuan-Hao Jiang +3

This study introduces a novel method that employs tag annotation coupled with the ChatGPT language model to analyze student learning behaviors and generate personalized feedback. C…

cs.CY2025★ 1 cited

IntelliChain: An Integrated Framework for Enhanced Socratic Method Dialogue with LLMs and Knowledge Graphs

Changyong Qi, Linzhao Jia, Yuang Wei +2

With the continuous advancement of educational technology, the demand for Large Language Models (LLMs) as intelligent educational agents in providing personalized learning experien…

cs.MA2024★ 7 cited

AI Agent for Education: von Neumann Multi-Agent System Framework

Yuan-Hao Jiang, Ruijia Li, Yizhou Zhou +5

The development of large language models has ushered in new paradigms for education. This paper centers on the multi-Agent system in education and proposes the von Neumann multi-Ag…

cs.AI2024★ 6 cited

The Advancement of Personalized Learning Potentially Accelerated by Generative AI

Yuang Wei, Yuan-Hao Jiang, Jiayi Liu +3

The rapid development of Generative AI (GAI) has sparked revolutionary changes across various aspects of education. Personalized learning, a focal point and challenge in educationa…

cs.AI2024★ 1 cited

Enhancing Explainability of Knowledge Learning Paths: Causal Knowledge Networks

Yuang Wei, Yizhou Zhou, Yuan-Hao Jiang +1

A reliable knowledge structure is a prerequisite for building effective adaptive learning systems and intelligent tutoring systems. Pursuing an explainable and trustworthy knowledg…