AI让小组协作从大家分担转向人机共管，调节方式更主动。
Human-AI Collaboration Reconfigures Group Regulation from Socially Shared to Hybrid Co-Regulation
- 用人类与AI/人类与人类对比实验，分析协作调节模式变化。
- 有AI时，指令、问题解决和情绪调节显著增加，责任分布改变。
- 适合关注AI辅助学习设计的研究者和教育实践者。
生成式AI在协作学习中的应用日益广泛，但其对小组协作调节的影响尚不明确。有效协作不仅取决于讨论内容，还依赖于目标设定、参与度、策略使用、监控与修复等共同调节或社会共享调节机制。本研究通过71名大学生参与的平行组随机实验，比较了有无生成式AI支持下的人类-人工智能组与人类-人类组在协作任务中的调节差异。基于人类对话的统计分析显示，生成式AI的可用性使调节模式从以社会共享为主，转向更多混合型共调节形式，尤其在指令性、障碍导向和情感调节过程上呈现选择性提升。然而，参与焦点分布在各条件下总体相似。结果表明，生成式AI重塑了协作中调节责任的分配方式，为以人为中心的AI协同学习系统设计提供了重要启示。
原文摘要 · Abstract (English)
Generative AI (GenAI) is increasingly used in collaborative learning, yet its effects on how groups regulate collaboration remain unclear. Effective collaboration depends not only on what groups discuss, but on how they jointly manage goals, participation, strategy use, monitoring, and repair through co-regulation and socially shared regulation. We compared collaborative regulation between Human-AI and Human-Human groups in a parallel-group randomised experiment with 71 university students completing the same collaborative tasks with GenAI either available or unavailable. Focusing on human discourse, we used statistical analyses to examine differences in the distribution of collaborative regulation across regulatory modes, regulatory processes, and participatory focuses. Results showed that GenAI availability shifted regulation away from predominantly socially shared forms towards more hybrid co-regulatory forms, with selective increases in directive, obstacle-oriented, and affective regulatory processes. Participatory-focus distributions, however, were broadly similar across conditions. These findings suggest that GenAI reshapes the distribution of regulatory responsibility in collaboration and offer implications for the human-centred design of AI-supported collaborative learning.
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