虚拟学习社区知识流动的多因素作用机理分析

The Multi-factors Mechanism Analysis of Knowledge Flow in Virtual Learning Community

[目的/意义]虚拟学习社区的相关研究指出,虚拟学习社区的网络结构、学习者知识建构策略、社区优化方法对知识流动会产生显著影响,但将三者结合起来挖掘他们对知识流动的共同作用机理的研究还不足.[方法/过程]文章从虚拟学习社区网络结构与学习者知识建构策略的交互作用出发,采用2×2控制实验的研究方法,并引入社区优化方法这一变量,分析不同策略组合的知识流动效果,以及多因素对知识流动的作用机理.[结果/结论]BA无标度网络中采用权威策略和WS小世界网络中采用情感策略的知识流动效果更优;BA无标度网络中知识流动效果对核心地位的知识专家有较强的依赖性,存在显著的路径依赖现象;WS小世界网络中知识流动效果对社区网络结构表现出更强的稳健性.基于上述研究结论,本文提出了虚拟学习社区的运营管理措施.

[Purpose/significance]The research results of virtual learning community point out that virtual learning community network structures,learner knowledge construction strategies and community optimization methods have significant influence on knowledge flow,but the combination of the three to explore their mechanism of knowledge flow is still insufficient.[Method/process]In this paper,taking the interaction between the virtual learning community network structures and the learner's knowledge construction strategies as the starting point,using the 2x2 control experiment research method,the community optimization methods are introduced to analyze the knowledge flow effect of different strategies combinations and the mechanism of multi-factors to knowledge flow.[Result/conclusion]The study founds that using the authoritative strategy in the BA scale-free network and the sentiment strategy in the WS small-world network are better for the knowledge flow;the knowledge flow effect in the BA scale-free network has strong dependence on the core knowledge experts,and there is a significant path dependence phenomenon;the knowledge flow effect in the WS small-world network shows stronger robustness to the community structure characteristics.Based on these research conclusions,this paper also proposes the management and operation measures for the virtual learning community.