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数字教育资源服务的现状与优化模型——基于网络公开课程视角

2018年第2期  点击:[]

迈克尔·J·雅各布森1 摩奴·卡普木2 彼得·赖曼1

(1.悉尼大学 教育与社会工作学院,澳大利亚 悉尼 NSW 2006;2.香港教育学院 心理学部,香港 999077)

张婧婧 王雨晨 曹鹭 译

【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。

【关键词】复杂系统;学习;自组织;涌现性

Conceptualizing Debates in Learning and Educational Research: Toward a Complex Systems Conceptual Framework of Learning

Michael J. Jacobson1, Manu Kapur2 and Peter Reimann1

(1.Faculty of Education and Social Work,The University of Sydney, Sydney NSW 2006, Australia;2.Department of Psychological Studies, The Hong Kong Institute of Education, Hong Kong 999077, China)

Abstract: 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 different 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.

Keywords:complex systems; learning; Self-organization; Emergence

下载地址:    学习与教育研究中的理论之争.pdf


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