动态在线讨论：交互式学习环境中的深层学习被引量：25

Dynamic Online Discussion:Task-Oriented Interaction for Deep Learning

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摘要本文阐述了在远程教育中进行面向深层学习的动态在线讨论的一个框架。该框架建立在信息、方法和认知等三个普遍性过程的基础上。在本框架中进行动态讨论的结构包括三种在线讨论的类型,即灵活的同伴、结构化的主题和协作性任务讨论。该框架在一门有关教学多媒体设计的在线研究生课程中使用过两个学期。创建动态讨论的策略是为了促进不同学习者之间的在线交互,并有助于设计能实现有效交互的任务。学生通过设计的任务产生了接受性学习,在此基础上促进了适应性学习,并且激发了他们促进深层学习的认知能力。该框架及动态讨论的策略提供了一个在线学习环境,在这样的环境中学生的学习超越了既定的课程目标。 A framework for deep learning for dynamic online discussion in distance education is illustrated in this paper. The foundation of the framework is based on three general processes ： information, methods, and cognition. A structure for dynamic discussions within the framework provides three types of online discussion： flexible peer, structured topics and collaborative task discussion. The framework was applied during two semesters of an online muhimedia design for instruction graduate level course. The strategies for creating dynamic discussion serve to facilitate online interactions among diverse learners and assist in the design of assignments for effective interactions.Students build on the adoptive learning taking place through assignments designed to promote adaptive learning and challenge their cognitive abilities resulting in deep learning. The framework proposed and the strategies for dynamic discussion provide an online learning environment in which students learn beyond the course goal.

作者杜建霞范斯.A.杜林汤安东尼.A.奥林佐克王茹

机构地区密西西比州立大学教育学院华东师范大学课程与教学系

出处《开放教育研究》 CSSCI 2006年第4期75-79,共5页 Open Education Research

关键词远程学习在线讨论深层学习 distance learning online discussion deep learning

分类号 G434 [文化科学—教育技术学]

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