Cover Image

EDM-ARS: A Domain-Specific Multi-Agent System for Automated Educational Data Mining Research

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pan, Chenguang, Zhang, Zhou, Xiao, Weixuan, Yao, Chengyuan
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BioMiner: A Multi-modal System for Automated Mining of Protein-Ligand Bioactivity Data from Literature
by: Yan, Jiaxian, et al.
Published: (2026)

M$^2$-Miner: Multi-Agent Enhanced MCTS for Mobile GUI Agent Data Mining
by: Lv, Rui, et al.
Published: (2026)

VDSAgents: A PCS-Guided Multi-Agent System for Veridical Data Science Automation
by: Jiang, Yunxuan, et al.
Published: (2025)

MedSkillAudit: A Domain-Specific Audit Framework for Medical Research Agent Skills
by: Hou, Yingyong, et al.
Published: (2026)

Unified-MAS: Universally Generating Domain-Specific Nodes for Empowering Automatic Multi-Agent Systems
by: Lin, Hehai, et al.
Published: (2026)

PEER: Expertizing Domain-Specific Tasks with a Multi-Agent Framework and Tuning Methods
by: Wang, Yiying, et al.
Published: (2024)

Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data
by: Dong, Fengxian, et al.
Published: (2026)

Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPO
by: Hong, Haoyang, et al.
Published: (2025)

A Multi-Agent Framework with Automated Decision Rule Optimization for Cross-Domain Misinformation Detection
by: Li, Hui, et al.
Published: (2025)

Automated Constraint Specification for Job Scheduling by Regulating Generative Model with Domain-Specific Representation
by: Shi, Yu-Zhe, et al.
Published: (2025)

Automating Skill Acquisition through Large-Scale Mining of Open-Source Agentic Repositories: A Framework for Multi-Agent Procedural Knowledge Extraction
by: Bi, Shuzhen, et al.
Published: (2026)

Aesthetic Experience and Educational Value in Co-creating Art with Generative AI: Evidence from a Survey of Young Learners
by: Zhang, Chengyuan, et al.
Published: (2025)

Trajectory Data Mining and Trip Travel Time Prediction on Specific Roads
by: Amin, Muhammad Awais, et al.
Published: (2024)

Automating Android Build Repair: Bridging the Reasoning-Execution Gap in LLM Agents with Domain-Specific Tools
by: Son, Ha Min, et al.
Published: (2025)

Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems
by: Gao, Weibo, et al.
Published: (2025)

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining
by: Shen, Yifan, et al.
Published: (2025)

Towards Automated Functional Equation Proving: A Benchmark Dataset and A Domain-Specific In-Context Agent
by: Buali, Mahdi, et al.
Published: (2024)

From Unstructured Communication to Intelligent RAG: Multi-Agent Automation for Supply Chain Knowledge Bases
by: Zhang, Yao, et al.
Published: (2025)

SOP-Agent: Empower General Purpose AI Agent with Domain-Specific SOPs
by: Ye, Anbang, et al.
Published: (2025)

ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies
by: Gandhi, Shubham, et al.
Published: (2025)

MCP-Orchestrated Multi-Agent System for Automated Disinformation Detection
by: Avram, Alexandru-Andrei, et al.
Published: (2025)

NORA: A Harness-Engineered Autonomous Research Agent for End-to-End Spatial Data Science
by: Zhou, Bing, et al.
Published: (2026)

DOVA: Deliberation-First Multi-Agent Orchestration for Autonomous Research Automation
by: Shen, Aaron, et al.
Published: (2026)

CeProAgents: A Hierarchical Agents System for Automated Chemical Process Development
by: Yang, Yuhang, et al.
Published: (2026)

GamED.AI: A Hierarchical Multi-Agent Framework for Automated Educational Game Generation
by: Agarwal, Shiven, et al.
Published: (2026)

MetaAgent: Automatically Constructing Multi-Agent Systems Based on Finite State Machines
by: Zhang, Yaolun, et al.
Published: (2025)

An Empirical Study of Multi-Agent Collaboration for Automated Research
by: Shen, Yang, et al.
Published: (2026)

AI-Enhanced Business Process Automation: A Case Study in the Insurance Domain Using Object-Centric Process Mining
by: Khayatbashi, Shahrzad, et al.
Published: (2025)

Automated Domain Question Mapping (DQM) with Educational Learning Materials
by: Noh, Jiho, et al.
Published: (2026)

AGENTiGraph: A Multi-Agent Knowledge Graph Framework for Interactive, Domain-Specific LLM Chatbots
by: Zhao, Xinjie, et al.
Published: (2025)

Insight Agents: An LLM-Based Multi-Agent System for Data Insights
by: Bai, Jincheng, et al.
Published: (2026)

APD-Agents: A Large Language Model-Driven Multi-Agents Collaborative Framework for Automated Page Design
by: Chen, Xinpeng, et al.
Published: (2025)

ARS: Automatic Routing Solver with Large Language Models
by: Li, Kai, et al.
Published: (2025)

Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems
by: Meghwani, Hansa, et al.
Published: (2025)

CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems
by: Wu, Yongxuan, et al.
Published: (2026)

RAGalyst: Automated Human-Aligned Agentic Evaluation for Domain-Specific RAG
by: Gao, Joshua, et al.
Published: (2025)

Multi-Agent Collaboration for Automated Design Exploration on High Performance Computing Systems
by: Menon, Harshitha, et al.
Published: (2026)

XUAT-Copilot: Multi-Agent Collaborative System for Automated User Acceptance Testing with Large Language Model
by: Wang, Zhitao, et al.
Published: (2024)

AutoData: A Multi-Agent System for Open Web Data Collection
by: Ma, Tianyi, et al.
Published: (2025)

LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent
by: Li, Wanli, et al.
Published: (2026)