图书情报工作 ›› 2015, Vol. 59 ›› Issue (19): 55-61.DOI: 10.13266/j.issn.0252-3116.2015.19.007

• 工作研究 • 上一篇    下一篇

互联网思维下的在线课堂设计要素分析——以“数据分析”课程为例

刘禄1, 袁曦临1,2, 刘利1,2   

  1. 1. 东南大学情报科技研究所 南京 210096;
    2. 东南大学图书馆 南京 210096
  • 收稿日期:2015-08-21 修回日期:2015-09-17 出版日期:2015-10-05 发布日期:2015-10-05
  • 通讯作者: 袁曦临(ORCID:0000-0001-9165-0313),研究馆员,硕士生导师,E-mail:yuan_xl@seu.edu.cn
  • 作者简介:刘禄(ORCID:0000-0002-1417-4891),硕士研究生;刘利(ORCID:0000-0003-4022-1185),副研究馆员,硕士生导师。
  • 基金资助:

    本文系国家社会科学基金一般项目"数字阅读机制与导读策略研究"(项目编号:13BTQ023)和江苏省教育科学"十二五"规划课题"基于知识地图的大学专业课程资源组织与网站开发研究"(项目编号:D/2013/01/037)研究成果之一。

Analysis on Design Factors of Online Class with Internet Thinking:Taking the Course "Data Analysis" for Example

Liu Lu1, Yuan Xilin1,2, Liu Li1,2   

  1. 1. Institution of Information Science & Technology, Southeast University, Nanjing 210096;
    2. Southeast University Library, Nanjing 210096
  • Received:2015-08-21 Revised:2015-09-17 Online:2015-10-05 Published:2015-10-05

摘要:

[目的/意义] 旨在探究能够契合"网络一代"自主探究学习模式的在线课堂教学及课程设计方式。[方法/过程] 以"数据分析"课程为例,选取TED-Ed和中国大学视频公开课这两类具有代表性的在线课堂进行对比分析,调查发现互联网思维对于在线课堂的影响是深刻的。[结果/结论] 在面向"网络一代"的在线课堂设计中应以学生的需求为中心,以学生的学习为主体,围绕知识单元和主题,以扁平化方式组织教学资源,创建互动在线学习环境及符合其学习需要的课程内容和课程结构。

关键词: 互联网思维, 在线教育, 课堂设计, 数据分析

Abstract:

[Purpose/significance] This paper intends to investigate how to fit online class teaching and course design methods of "Netsters'" self-inquiry learning mode.[Method/process] Two types of representative online classes, TED-Ed and Chinese university video open classes, have been selected and compared, with "data analysis" course for example.[Result/conclusion] It has been discovered that internet thinking has had a deep influence on online classes in the investigation. Online class design should focus on students' needs and take students' study as the main part, revolve around knowledge units and subjects, and organize educational resources in the flat form, to create interactive online education environment and improve the teaching effective of online class.

Key words: Internet thinking, online education, class design, data analysis

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