数据可视化技术在教学中的应用探究  

Research on Data Visualization Technology in Teaching and Learning

作　　者：张金磊[1] 张宝辉[1] 刘永贵 

机构地区：[1]南京大学教育研究院 [2]南京邮电大学教育科学与技术学院

出　　处：《现代远程教育研究》2013年第6期98-104,111,共8页Modern Distance Education Research

基　　金：江苏省2011年度研究生双语授课教学试点项目"双语学习科学课程开发"项目(0306001503)

摘　　要：随着信息技术在教育领域的不断应用,人类生产和获取数据的能力呈几何级数增长。如何对海量数据进行分析以支持学生的深度学习,以及如何利用信息技术更好地呈现教学内容、优化教学过程,成为教育研究者亟需解决的问题。由此,数据挖掘以及数据可视化技术成为学者和专家关注的热点。数据可视化技术不断演变,逐渐涵盖科学可视化与信息可视化的范畴,并包含部分知识可视化内容。对数据进行可视化处理,需要经过获取、分析、过滤、挖掘、表述、修饰与交互等流程,同时兼顾美学呈现形式与功能的需要,体现直观化、关联化、艺术化和交互性特征。常见的数据可视化工具包括VisualEyes、Google Trends和Many Eyes等。利用数据可视化工具和技术,教师可以为学生直观呈现知识,及时了解学生学习状况,进行课堂教学、教学干预、教学评价等;学生可以自我评估,及时发现自己的学习问题,并形成知识框架与互联体系,促进知识表达与内化;教学管理者可以掌握教师教学效果和学生学习情况,调整教学管理与决策的目标、方法和策略。With the popularization and development of information technology in the educational field, there have been great improvements in producing and obtaining information. It becomes an urgent issue for education researchers to understand how to analyze massive amount of data so as to support in-depth learning and how to better present teaching content and optimize teaching processes with information technology. Thus, data mining and data visualization technology are becoming the focus of educational scholars and experts. Data visualization technology has been evolving constantly, covering not only the field of scientific visualization and information visualization, but also part of knowledge visualization. Data Visualization is achieved through the processes of acquisition, analyzing, filtering, mining, presentation, modification and interaction, taking into account the aesthetic aspect of presentation and functional needs, assuming the features of visualization, association., artistry and interaetivity. Common data visualization tools include VisualEyes, Google Trends and Many Eyes. With the help of data visualization technology, teachers can provide students with visual presentation of knowledge, keep pace with learners＂ conditions, and optimize classroom teaching, instructional interventions and evaluation. Students can make self-assessments to discover their learning problems. Data visualization can also help students to build their knowledge framework and the association system, and promote knowledge representation and internalization. Teaching managers can monitor teachers＂ teaching effects and students＂ learning feedback, and adjust in time the objectives, methods and strategies of teaching management.

关 键 词：数据可视化 内涵解读 典型工具 教育价值 应用案例 

分 类 号：G434[文化科学—教育学]