MIRACLE_Multi-Agent Intelligent Regulation to Advance Collaborative Learning Environment
For educators and researchers in computer-supported collaborative learning, this work demonstrates that specialized orchestrated AI systems can more effectively enhance SSRL than generic AI assistants.
The study introduces MIRACLE, a multi-agent AI system that supports socially shared regulation (SSRL) in collaborative learning. In a quasi-experiment with 90 fifth-graders, the MIRACLE group showed significant gains across SSRL phases and produced higher-quality collaborative artifacts compared to a control group using a general GPT assistant.
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.