摘要
自主学习和协作学习是相互促进、相互依赖的网络学习方式。然而,目前典型的网络学习系统(智能教学系统和计算机支持的协作学习系统)大多将自主学习和协作学习强制分离,忽视了自主学习过程中协作交流的激励作用以及协作学习过程中学习者的自主学习需求。因此,扩展现有的智能教学系统,构建一个自主学习和协作学习有机融合的数字化学习环境,有助于更好地满足网络环境下师生的学习需求。支持协作学习的群体感知模型由群体感知信息、群体感知本体和群体感知规则三部分组成,采用本体技术建模协作感知信息,运用语义Web规则语言刻画协作感知机制,为实现协作学习的信息交互提供通用模型。基于该模型构建的智能教学系统,在原有ITS自主学习环境的基础上,扩展了参与者可以相互感知、相互交流的协作学习模块,实现与现有智能教学系统的无缝整合,为开发具有协作学习功能的智能教学系统提供了技术参考。
Autonomous learning and collaborative learning are E-learning methods which are complementary and interdependent.However,the typical E-learning system,such as intelligent tutoring systems or computer-aided collaborative learning systems,arbitrarily separates autonomous learning from collaborative learning,ignoring the incentive function of communication and collaboration in the autonomous learning process as well as learners' need for autonomous learning in the collaborative learning process.Therefore,the extension of existing intelligent tutoring systems into a digital learning environment that integrates autonomous learning and collaborative learning can help better satisfy the needs of both teachers and learners for online learning.The Group Awareness Model Supportive of Collaborative Learning(GAMSCL) consists of three parts: group awareness information,ontology and rule sets,in which the group awareness information is modeled by ontology,and cooperative sensing mechanism is described with Semantic Web Rule Language,providing a common model for information exchange.In the intelligent tutoring system(ITS) that is based on such model,the collaborative learning module that enables mutual perception and communication among participants is added to the original autonomous learning system,so that it can be seamlessly integrated into the existing ITS,providing technical guidance for the development of ITS with collaborative learning functions.
出处
《现代远程教育研究》
CSSCI
2013年第4期107-112,共6页
Modern Distance Education Research
基金
武汉大学自主科研项目(人文社会科学)研究成果
武汉大学"70后"学者学术发展计划支持
湖北省教育科学"十二五"规划2011年度重点课题"数字校园云平台设计与应用"(2011A001)
2009年湖北省高等学校省级教学研究项目"现代远程教育生态系统及基础平台研究"(2009119)
关键词
智能教学系统
自主学习
协作学习
群体感知
本体技术
Intelligent Tutoring System
Autonomous Learning
Collaborative Learning
Group Awareness
Ontology