[1]吴 江,陈 君,金 妙.混合式协作学习情境下的交互模式演化探究[J].远程教育杂志,2016,(01):061-68.[doi:10.15881/j.cnki.cn33-1304/g4.2016.01.007]
 Wu Jiang,Chen Jun,Jin Miao.Analysis of Evolution of Interactive Patterns in Blended Collaborative Learning[J].Distance Education Journal,2016,(01):061-68.[doi:10.15881/j.cnki.cn33-1304/g4.2016.01.007]
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混合式协作学习情境下的交互模式演化探究()
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《远程教育杂志》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2016年01期
页码:
061-68
栏目:
学习新论
出版日期:
2016-01-15

文章信息/Info

Title:
Analysis of Evolution of Interactive Patterns in Blended Collaborative Learning
作者:
吴 江; 陈 君; 金 妙
武汉大学信息 管理学院,湖北武汉 430072
Author(s):
Wu Jiang; Chen Jun; Jin Miao
School of Information Management, Wuhan University, Wuhan, Hubei 430072
关键词:
混合式协作学习交互网络随机行动者模型公选课社会网络分析
Keywords:
Blended collaborative learning Interactive network SAOMs Public course Social network analysis
分类号:
G420
DOI:
10.15881/j.cnki.cn33-1304/g4.2016.01.007
文献标志码:
A
摘要:
基于社会网络动态分析视角研究混合式协作学习情境下学习者交互模式的演化过程,通过调研,以问卷的形式获取武汉大学公选课上229个学生的人际关系数据和学生基本信息。采用内容分析法,发现学习社区参与者存在三类互动模式:线上互动,线下互动,线下到线上互动,其中线上互动是主要方式。利用随机行动者模型探讨交互网络演化的驱动因素,分析网络的结构以及学习者的属性。网络的结构特性包含:互惠性、传递三元组、三元环,属性因素包括学生的性别、年级、社交网络使用频率以及学生活动空间上的邻近性。在评估了时序网络驱动因素的时间异质性后,发现三元环结构和空间邻近性在网络演化的各个时期影响并不一致。
Abstract:
This paper studies the evolutionary progress of interactive patterns in blended collaborative learning from the perspective of network dynamics. We investigated 229 students of a public course in Wuhan University to get the data of their interpersonal relationships and their basic information. Based on content analysis, it is found that there are three kinds of interactive patterns among students: online interaction, offline interaction and offline-to-online interaction, among which online interaction is the main way. By using a flexible Stochastic actor-oriented models(SAOMs), researchers can discuss the driving factors of evolution of interactive network, analyze structural properties in network data and test the students’ attributes over time. Structural properties in network data contain reciprocity, transitive triplets, and 3-cycles. Students’ attributes include gender, grade, social-networking duration and their spatial proximity. At last, we analyzed time heterogeneity and found the different effects of 3-cycles and spatial proximity in different stages of evolution of interactive patterns.

备注/Memo

备注/Memo:
基金项目:本文系国家自然科学基金面上项目“创新2.0超网络中知识流动和群集交互的协同研究”(71373194)的研究成果。
更新日期/Last Update: 2016-01-15