activity
20242026
collaborators

6 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.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.LG2025

MAS-KCL: Knowledge component graph structure learning with large language model-based agentic workflow

Yuan-Hao Jiang, Kezong Tang, Zi-Wei Chen +3

Knowledge components (KCs) are the fundamental units of knowledge in the field of education. A KC graph illustrates the relationships and dependencies between KCs. An accurate KC g…

cs.AI2025

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.CY2025

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

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…