摘要
借鉴复杂的物理与社会系统(physical and social systems)的研究视角和方法,本文提出一个新的学习概念化框架来指导教育研究。我们认为,学习发生的情境是一个复杂系统,含有不同层次的元素与主体(agents),包括神经、认知、个人、人际、文化等,这个系统在各个层次上都存在交互式反馈,从而使整个系统产生在个体或局部层次上不具备的集体复杂特征。我们分析了认知与情境理论长期以来的争论(debate),并提出一个学习的复杂系统概念化框架(CSCFL)。我们最终总结了CSCFL可能对教育研究产生的广泛影响。
This article proposes a conceptual framework of learning based on perspectives and methodologies being employed in the study of complex physical and social systems to inform educational research. It argues that the contexts in which learning occurs are complex systems with elements or agents at diff erent levels—including neuronal, cognitive, intrapersonal, interpersonal, cultural—in which there are feedback interactions within and across levels of the systems so that collective properties arise(i.e., emerge) from the behaviors of the parts, often with properties that are not individually exhibited by those parts. It analyzes the long-running cognitive versus situative learning debate and propose that a complex systems conceptual framework of learning(CSCFL) provides a principled way to achieve a theoretical rapprochement. It concludes with a consideration of more general implications of the CSCFL for educational research.
作者
迈克尔.J.雅各布森
摩奴.卡普木
彼得.赖曼
张婧婧
王雨晨
曹鹭
Michael J. Jacobson;Manu Kapur;Peter Reimann(Faculty of Education and Social Work,The University of Sydney, Sydney NSW 2006, Australia;Department of Psychological Studies, The Hong Kong Institute of Education, Hong Kong 999077, China)
出处
《开放学习研究》
2018年第2期1-8,共8页
Journal of Open Learning
关键词
复杂系统
学习
自组织
涌现性
complex systems
learning
Self-organization
Emergence