MIRACLE_Multi-Agent Intelligent Regulation to Advance Collaborative Learning Environment

TL;DR

This study presents MIRACLE, an AI system designed to enhance collaborative learning by supporting social regulation, demonstrating significant improvements in student collaboration and artifact quality.

Contribution

Introduces MIRACLE, a multi-agent AI system that effectively supports social regulation in collaborative learning environments, outperforming generic AI assistants.

Findings

MIRACLE significantly improved SSRL phases among students.

Students produced higher-quality collaborative artifacts with MIRACLE.

Qualitative feedback shows students found MIRACLE effective for support.

Abstract

Effective collaboration requires Socially Shared Regulation (SSRL), but students often lack these skills. This study introduces the MIRACLE (Multi-Agent Intelligent Regulation to Advance Collaborative Learning Environment) system, which supports SSRL by orchestrating metacognitive regulation and proactively providing emotional and motivational support. We conducted a quasi-experimental study with 90 fifth-grade students. The experimental group (n=42) used a collaborative platform CocoNote equipped with MIRACLE, while the control group (n=48) used the same platform with a general GPT assistant. Quantitative results show the MIRACLE group achieved significant gains across SSRL phases (Planning, Monitoring, Reflection) and produced higher-quality collaborative artifacts compared to the control group. Qualitative findings indicate students perceived MIRACLE as an effective facilitator for cognitive, regulatory, and emotional support. This study demonstrates that specialized, orchestrated AI systems are more effective than generic AI in enhancing SSRL.