面向大数据远程开放实验平台构建研究

发布时间：2018-06-02 06:17

本文选题：大数据分析 + 深度学习　；参考：《中国远程教育》2016年11期

【摘要】：远程开放实验平台是开展远程实践教学的主体,为培养应用型人才提供了重要的远程实验资源保障。现有的大多数远程开放实验平台通常不能有效处理大并发量访问请求,也不能提供自适应的个性化学习环境,难以满足大规模实验教学和个性化学习的要求。针对这些问题,结合工作实践,笔者对面向大数据远程开放实验平台进行了深入研究。首先,使用云计算技术搭建平台基础服务设施,着重解决大数据存储与分析等问题,为应用层服务提供计算支撑;其次,基于泛在学习理念,并融入开放教学设计理念,勾勒出一个新的面向大数据的远程开放实验平台体系架构,以支持个性化自适应学习;最后,以平台架构为依托,以提升学习效果为导向,设计面向大数据远程开放实验平台的实践案例,为开展远程实践教学提供范例。所提出的构建平台体系架构的思想可为面向大数据在线学习平台建设提供有益的借鉴。
[Abstract]:The remote open experiment platform is the main part of distance practical teaching, which provides an important guarantee of distance experiment resources for the cultivation of applied talents. Most of the existing remote open experimental platforms can not deal with large concurrent access requests effectively, nor can they provide adaptive personalized learning environment, which is difficult to meet the requirements of large-scale experimental teaching and individualized learning. In view of these problems, combined with the work practice, the author has carried on the thorough research to the remote open experiment platform for big data. First of all, using cloud computing technology to build platform infrastructure, focusing on big data storage and analysis and other issues, to provide computing support for application-level services; second, based on the concept of ubiquitous learning, and integrated into the concept of open teaching design, This paper outlines a new open remote experimental platform architecture for big data to support individualized adaptive learning. Finally, based on the platform architecture, it is oriented to improve the learning effect. A practical case for big data remote open experiment platform is designed to provide an example for distance practical teaching. The idea of constructing platform architecture can provide useful reference for the construction of big data-oriented online learning platform.
【作者单位】：浙江广播电视大学教学中心;浙江广播电视大学教学中心信息教研部;浙江广播电视大学学习资源中心;浙江广播电视大学教务处;
【基金】：国家开放大学2014-2015年度科研课题委托课题“远程实践教学模式和支撑环境研究”(编号:G14A1608W) 浙江省自然科学基金“大数据背景下基于元模型的资源描述体系研究”(编号:Y14F020158) 浙江省2015年度高等教育教学改革项目“远程环境下的实践教学研究”(编号:jg2015131) 浙江广播电视大学2013年度规划课题“基于教育云的智慧校园建设研究”(编号:XKT-13G05)的研究成果
【分类号】：G434

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