基于词频分析的社会化软件教育应用特点

 

曹培杰1  尚俊杰2  汪基德3

 

(1.北京师范大学现代教育技术研究所,北京1008752.北京大学 教育学院,北京100871

3.河南大学 教育科学学院,河南开封475004)

 

【摘要】Web2.0时代的到来、互联网的升级给人类学习提供了新技术支撑。近年来,在教育技术领域广泛开展了社会化软件的教育应用研究。本文采用词频分析法对已有研究文献进行内容分析,结果显示,社会化软件虽有共同之处,但又各具特点,例如,博客适合学习反思,维基适合知识管理,播客适合学习者自学,RSS适合信息推送和聚合。这些特点对于教学的某一环节或某一学习活动具有独特的优势,但不存在适合任何教学内容和所有学习者的万能媒体,关键是将社会化软件教育应用特点与学习活动创设两者之间建立起联系,根据教学需要恰当选择社会化软件,实现技术在教学中的消融,从而促进最优化学习的发生。

【关键词】社会化软件;词频分析;教育应用

【中图分类号】G434

【文献标识码】A

【文章编号】1007-2179(2011)04-0102-06

【作者简介】曹培杰,在读博士,北京师范大学教育技术学院(caopeijie@gmail.com); 尚俊杰,博士,副教授,北京大学教育学院;汪基德,教授,博士生导师,河南大学教育科学学院。

 

Characteristics of Social Software in Education

 

CAO Peijie1,SHANG Junjie2 & WANG Jide3

 

(1. Modern Educational Technology Institute, Beijing Normal University, Beijing 100875, China;

2. Graduate School of Education, Peking University, Beijing 100871, China;

3. School of Education Science, Henan University, Kaifeng 475004, China;)

 

Abstract: This paper conducted content analysis, word frequency analysis of existing literature, and summarized the characteristics of different social software. The results showed that blog suited learning reflection, wiki fitted knowledge management, podcast was good for self-learning, RSS and aggregation were proper for pushing out information. These features could be used for teaching some particular topics, but there was no any media tools suitable for all learners or all contents The study suggested relating the features and learning activities, and choosing appropriate social softwares according to the teaching needs, so as to promote optimal learning.

Key words: social software; word frequency analysis; education applications

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