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

• URL: http://arxiv.org/abs/2603.18273v1
• Date: Wed, 18 Mar 2026 20:45:45 GMT
• Title: EDM-ARS: A Domain-Specific Multi-Agent System for Automated Educational Data Mining Research
• Abstract summary: EDM-ARS is a domain-specific multi-agent pipeline that automates end-to-end educational data mining (EDM) research.<n>We conceptualize EDM-ARS as a general framework for domain-aware automated research pipelines.<n>EDM-ARS is released as an open-source project to support the educational research community.
• Score: 1.8735250835432133
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In this technical report, we present the Educational Data Mining Automated Research System (EDM-ARS), a domain-specific multi-agent pipeline that automates end-to-end educational data mining (EDM) research. We conceptualize EDM-ARS as a general framework for domain-aware automated research pipelines, where educational expertise is embedded into each stage of the research lifecycle. As a first instantiation of this framework, we focus on predictive modeling tasks. Within this scope, EDM-ARS orchestrates five specialized LLM-powered agents (ProblemFormulator, DataEngineer, Analyst, Critic, and Writer) through a state-machine coordinator that supports revision loops, checkpoint-based recovery, and sandboxed code execution. Given a research prompt and a dataset, EDM-ARS produces a complete LaTeX manuscript with real Semantic Scholar citations, validated machine learning analyses, and automated methodological peer review. We also provide a detailed description of the system architecture, the three-tier data registry design that encodes educational domain expertise, the specification of each agent, the inter-agent communication protocol, and mechanisms for error-handling and self-correction. Finally, we discuss current limitations, including single-dataset scope and formulaic paper output, and outline a phased roadmap toward causal inference, transfer learning, psychometric, and multi-dataset generalization. EDM-ARS is released as an open-source project to support the educational research community.

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