移动学习逐渐成为教育技术领域的核心研究课题,本文以国内CNKI为来源数据库,以"移动学习"为主题名进行检索,以国外Web of Science的SSCI为来源数据库,以"mobile learning"OR"m-learning"为主题名进行文...移动学习逐渐成为教育技术领域的核心研究课题,本文以国内CNKI为来源数据库,以"移动学习"为主题名进行检索,以国外Web of Science的SSCI为来源数据库,以"mobile learning"OR"m-learning"为主题名进行文献检索。利用SATI词频分析软件对检索结果进行高频关键词提取并进行词频分析,构建高频词的共词矩阵,利用UCINET社会网络分析工具绘制高频词的共词网络图。根据词频分析和构建高频词的可视化共词网络图得到大量实验数据,进而进行国内外对比分析,得出国内外移动学习的研究热点及趋势,立足国内研究提出可行性建议,以期为以后的研究提供借鉴。展开更多
随着创客首次进入政府工作报告,我国进入了一个如火如荼的创客时代。文章使用书目共现分析系统Bicom b 2.0进行高频关键词的提取,并进行词频分析,构建高频关键词的共词矩阵,利用Ucinet社会网络分析工具绘制高频词的共词网络图。文章根...随着创客首次进入政府工作报告,我国进入了一个如火如荼的创客时代。文章使用书目共现分析系统Bicom b 2.0进行高频关键词的提取,并进行词频分析,构建高频关键词的共词矩阵,利用Ucinet社会网络分析工具绘制高频词的共词网络图。文章根据词频分析和构建高频词的可视化共词网络图得到大量实验数据,进而得出国内创客研究的热点及趋势,以期为以后的研究提供借鉴。展开更多
The human brain is built to process complex visual impressions within milliseconds. In comparison with sequentially coded spoken language and written texts, we are capable of consuming graphical information at a high ...The human brain is built to process complex visual impressions within milliseconds. In comparison with sequentially coded spoken language and written texts, we are capable of consuming graphical information at a high bandwidth in a parallel fashion, producing a picture worth more than a thousand words. Effective information visualization can be a powerful tool to capture people's attention and quickly communicate large amounts of data and complex information. This is particularly important in the context of communication data, which often describes entities (people, organizations) and their connections through communication. Visual analytics approaches can optimize the user-computer interaction to gain insights into communication networks and learn about their structures. Network visualization is a perfect instrument to better communicate the results of analysis. The precondition for effective information visualization and successful visual reasoning is the capability to draw "good" pictures. Even though communication networks are often large, including thousands or even millions of people, underlying visualization principles are identical to those used for visualizing smaller networks. In this article, you will learn about these principles, giving you the ability to assess the quality of network visualizations and to draw better network pictures by yourself.展开更多
文摘移动学习逐渐成为教育技术领域的核心研究课题,本文以国内CNKI为来源数据库,以"移动学习"为主题名进行检索,以国外Web of Science的SSCI为来源数据库,以"mobile learning"OR"m-learning"为主题名进行文献检索。利用SATI词频分析软件对检索结果进行高频关键词提取并进行词频分析,构建高频词的共词矩阵,利用UCINET社会网络分析工具绘制高频词的共词网络图。根据词频分析和构建高频词的可视化共词网络图得到大量实验数据,进而进行国内外对比分析,得出国内外移动学习的研究热点及趋势,立足国内研究提出可行性建议,以期为以后的研究提供借鉴。
文摘随着创客首次进入政府工作报告,我国进入了一个如火如荼的创客时代。文章使用书目共现分析系统Bicom b 2.0进行高频关键词的提取,并进行词频分析,构建高频关键词的共词矩阵,利用Ucinet社会网络分析工具绘制高频词的共词网络图。文章根据词频分析和构建高频词的可视化共词网络图得到大量实验数据,进而得出国内创客研究的热点及趋势,以期为以后的研究提供借鉴。
文摘The human brain is built to process complex visual impressions within milliseconds. In comparison with sequentially coded spoken language and written texts, we are capable of consuming graphical information at a high bandwidth in a parallel fashion, producing a picture worth more than a thousand words. Effective information visualization can be a powerful tool to capture people's attention and quickly communicate large amounts of data and complex information. This is particularly important in the context of communication data, which often describes entities (people, organizations) and their connections through communication. Visual analytics approaches can optimize the user-computer interaction to gain insights into communication networks and learn about their structures. Network visualization is a perfect instrument to better communicate the results of analysis. The precondition for effective information visualization and successful visual reasoning is the capability to draw "good" pictures. Even though communication networks are often large, including thousands or even millions of people, underlying visualization principles are identical to those used for visualizing smaller networks. In this article, you will learn about these principles, giving you the ability to assess the quality of network visualizations and to draw better network pictures by yourself.
