activity
20242026
most citedAI Agent for Education: von Neumann Multi-Agent System Framework

7 citations · 12 across the 10 of their papers we have counts for

collaborators

10 papers

cs.AI2026

Edu-MMBias: A Three-Tier Multimodal Benchmark for Auditing Social Bias in Vision-Language Models under Educational Contexts

Ruijia Li, Mingzi Zhang, Zengyi Yu +2

As Vision-Language Models (VLMs) become integral to educational decision-making, ensuring their fairness is paramount. However, current text-centric evaluations neglect the visual…

cs.CV2026

Unify-Agent: A Unified Multimodal Agent for World-Grounded Image Synthesis

Shuang Chen, Quanxin Shou, Hangting Chen +16

Unified multimodal models provide a natural and promising architecture for understanding diverse and complex real-world knowledge while generating high-quality images. However, the…

cs.AI2026

SLOW: Strategic Logical-inference Open Workspace for Cognitive Adaptation in AI Tutoring

Yuang Wei, Ruijia Li, Bo Jiang

While Large Language Models (LLMs) have demonstrated remarkable fluency in educational dialogues, most generative tutors primarily operate through intuitive, single-pass generation…

cs.CY2026★ 1 cited

Thinking in Graphs with CoMAP: A Shared Visual Workspace for Designing Project-Based Learning

Ruijia Li, Bo Jiang

Designing project-based learning (PBL) demands managing highly interdependent components, a task that both traditional linear tools and purely conversational AI struggle with. Trad…

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.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★ 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…