CSCL中学习者人际交往对高水平知识建构的影响^*

杨惠  吕圣娟  王陆  彭艳均 

（首都师范大学 教育技术系,北京 100037）

【摘要】本文首先通过内容分析法对首都师大虚拟学习社区中的一门网络课程进行实证研究，了解两个学年不同时期学习者的高水平知识建构情况。然后,研究者利用社会网络分析法计算学习者的人际交往情况，在整体层次判断学习者的交往网络是否影响其高水平知识建构；在个体层次分析学习者的网络个体属性与其高水平知识建构的相关性；在角色分析层次统计网络中不同角色的学习者对高水平知识建构的贡献情况。研究结果表明，互惠性高的网络利于学习者的高水平知识建构；特征向量高的学习者知识建构水平也较高；核心参与者是高水平知识建构的主要贡献者。最后，笔者通过线性回归分析拟合了学习者的人际交往及其高水平知识建构的方程，通过该方程可以看到学习者的人际交往对其高水平知识建构所起的作用，从而为教师实施学习者学习网络课程提供一定的指导作用和借鉴意义。

【关键词】计算机支持的协作学习(CSCL)；人际交往；知识建构

【中图分类号】G434

【文献标识码】A

【文章编号】1007-2179（2009）01-0081-06

【作者简介】杨惠(xiaohui0117@163.com);吕圣娟,彭艳均,均为在读硕士，首都师范大学教育技术系;王陆，教授，硕士生导师，首都师范大学教育技术系。

*基金项目：本研究由全国教育科学“十一五”规划教育部重点课题“教师网络教育活动的设计理论与实践”（DCA080138）资助完成。

Study on the Effect of Interpersonal Communication of Students

on High Level Knowledge Construction

YANG Hui， LV Shengjuan， WANG Lu,& PENG Yanjun

(Educational Technology Department,Capital Normal University，Beijing 100037，China)

Abstract: This paper does the empiritic study on the same course of two school years in the Virtual Learning Community of Capital Normal University by content analysis to know students’high level knowledge construction.Then it calculates the interpersonal communication of students on three different hierarchy by social network analysis. On the whole hierarchy, we firstly judged whether the students’communication network affects students’high level knowledge construction.Then in the individual hierarchy, we analysed the relationship between the individual contribute of students and their high level knowledge construction.Finally, we calculated the contribution of different roles to high level knowledge construction from role analysis hierarchy.It finds out that the network of high reciprocity promotes high level knowledge construction for students and the student who has higher eigenvector has higher level knowledge construction,and the core participants is the most important contributors to high level knowledge construction. At last, the author gave the equation on interpersonal communication of students and their high level knowledge construction by linear regression, from which we could learn how students’ interpersonal communication affects their high level knowledge construction. We hope the research conld give reference to the teachers and students when they teach or study the network courses.