【作 者】：
韩 悦， 赵晓伟， 沈书生
【关 键 词 】：
自我调节学习； 人机协同； 复合脑； 生成式人工智能； 学习决策
【栏 目】：
理论探讨
【中文摘要】：
以ChatGPT为代表的生成式人工智能的出现，使人工智能与人类智能之间实现群智联结，形成人机协同的“复合脑”思维。研究在梳理自我调节学习内涵与过程的基础上，聚焦复合脑对自我调节学习的赋能作用，阐述了复合脑支撑自我调节学习的三个层次，即数据支持下协同记录的“数脑”、数据关联下协同分析的“汇脑”、数据赋能下协同决策的“智脑”；剖析了复合脑赋能自我调节学习的“协同判断—协同调整—协同决定”三个过程。最后，基于内外脑决策自主度的变化，提出了共同调节、共享调节、复合调节三种典型样态，支持学习者不断强化主体责任、构建适应未来的复合脑，形成面向未来的高质量学习力。
【英文摘要】：
Owing to the emergence of generative artificial intelligence represented by ChatGPT, a group intelligence connection between artificial intelligence and human intelligence is realized, and the "compound brain" thinking of hueman-machine collaboration is formed. On the basis of the connotation and process of self-regulated learning, this study focuses on the empowering effect of the compound brain on self-regulated learning and elaborates the three levels of the compound brain supporting self-regulated learning, namely, the "data brain" for collaborative recording with data support, the "convergent brain" for collaborative analysis with data correlation, and the "intelligent brain" for collaborative decision-making with data empowerment. Meanwhile, this study analyzes the three processes of "collaborative judgment, collaborative adjustment, collaborative decision" of self-regulated learning empowered by the compound brain. Finally, based on changes of decision-making autonomy of internal and external brains, three typical patterns of co-regulation, shared regulation, and compound regulation are proposed to support learners to continuously strengthen the main responsibility, build a compound brain adapted to the future and form a high-quality learning ability for the future.
【下 载】：
人机协同调节：复合脑视角下自我调节学习的新路径