Abstract From a network perspective, self-regulated learning (SRL) can be conceptualized as networks of mutually interacting self-regulatory learning behaviors. Nevertheless, the research on how SRL behaviors dynamically interact over time in a network architecture is still in its infancy, especially in the context of STEM (sciences, technology, engineering, and math) learning. In the present paper, we used a multilevel vector autoregression (VAR) model to examine the temporal dynamics of SRL behaviors as 101 students designed green buildings in Energy3D, a simulation-based computer-aided design (CAD) environment. We examined how different performance groups (i.e., unsuccessful, success-oriented, and mastery-oriented groups) differed in SRL competency, actual SRL behaviors, and SRL networks. We found that the three groups had no significant difference in their perceived SRL competency; however, they differed in SRL behaviors of evaluation. Both the mastery-oriented and success-oriented groups performed more evaluation behaviors than the unsuccessful group. Moreover, the mastery-oriented group showed stronger interaction between SRL behaviors than the success-oriented group and the unsuccessful group. The SRL networks of the three groups shared some similarities, but they were different from each other in general. This study has significant theoretical and methodological implications for the advancement of research in SRL dynamics.

中文翻译：

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检查 STEM 学习中自我调节学习行为的时间动态：一种网络方法

摘要 从网络的角度来看，自我调节学习（SRL）可以被概念化为相互交互的自我调节学习行为的网络。尽管如此，关于 SRL 行为如何在网络架构中随时间动态交互的研究仍处于起步阶段，尤其是在 STEM（科学、技术、工程和数学）学习的背景下。在本文中，我们使用多级向量自回归 (VAR) 模型来检查 SRL 行为的时间动态，因为 101 名学生在 Energy3D 中设计了绿色建筑，Energy3D 是一种基于模拟的计算机辅助设计 (CAD) 环境。我们研究了不同的表现组（即，不成功的、以成功为导向的和以掌握为导向的组）在 SRL 能力、实际 SRL 行为和 SRL 网络方面的差异。我们发现三组在感知 SRL 能力方面没有显着差异；然而，他们在评估的 SRL 行为上有所不同。掌握导向和成功导向的群体都比不成功的群体表现出更多的评价行为。此外，掌握导向的群体表现出比成功导向的群体和不成功的群体更强的 SRL 行为之间的相互作用。这三个组的 SRL 网络有一些相似之处，但总体上彼此不同。这项研究对 SRL 动力学研究的进步具有重要的理论和方法学意义。掌握导向和成功导向的群体都比不成功的群体表现出更多的评价行为。此外，掌握导向的群体表现出比成功导向的群体和不成功的群体更强的 SRL 行为之间的相互作用。这三个组的 SRL 网络有一些相似之处，但总体上彼此不同。这项研究对 SRL 动力学研究的进步具有重要的理论和方法学意义。掌握导向和成功导向的群体都比不成功的群体表现出更多的评价行为。此外，掌握导向的群体表现出比成功导向的群体和不成功的群体更强的 SRL 行为之间的相互作用。这三个组的 SRL 网络有一些相似之处，但总体上彼此不同。这项研究对 SRL 动力学研究的进步具有重要的理论和方法学意义。