当前位置: X-MOL 学术Intern. J. Comput.-Support. Collab. Learn. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Capturing the dynamic and cyclical nature of regulation: Methodological Progress in understanding socially shared regulation in learning
International Journal of Computer-Supported Collaborative Learning ( IF 4.2 ) Pub Date : 2019-11-25 , DOI: 10.1007/s11412-019-09313-2
Sanna Järvelä , Hanna Järvenoja , Jonna Malmberg

Self-regulation is critical for successful learning, and socially shared regulation contributes to productive collaborative learning. The problem is that the psychological processes at the foundation of regulation are invisible and, thus, very challenging to understand, support, and influence. The aim of this paper is to review the progress in socially shared regulation research data collection methods for trying to understand the complex process of regulation in the social learning context, for example, collaborative learning and computer-supported collaborative learning. We highlight the importance of tracing the sequential and temporal characteristics of regulation in learning by focusing on data for individual- and group-level shared regulatory activities that use technological research tools and by gathering in-situ data about students’ challenges that provoke regulation of learning. We explain how we understand regulation in a social context, argue why methodological progress is needed, and review the progress made in researching regulation of learning.

中文翻译:

掌握法规的动态和周期性:了解学习中社会共享法规的方法学进展

自我调节对于成功学习至关重要,而社会共享的调节则有助于富有成效的协作学习。问题在于,监管基础上的心理过程是无形的,因此在理解,支持和影响方面非常具有挑战性。本文的目的是回顾社会共享监管研究数据收集方法的进展,以试图了解社会学习环境中的复杂监管过程,例如协作学习和计算机支持的协作学习。我们通过关注使用技术研究工具的个人和团体级共享监管活动的数据以及收集有关激发学习监管的学生挑战的就地数据,来强调在学习中追踪监管的顺序和时间特征的重要性。 。我们解释了我们如何理解社会背景下的规章制度,论证了为什么需要方法上的进步,并回顾了学习规章制度的研究进展。
更新日期:2019-11-25
down
wechat
bug