P2P环境下的自主协作学习系统研究  

Algorithm of the P2P-based Autonomic Learning and Collaborative Learning System

作　　者：李志敏[1,2] 谭敏生[2] 

机构地区：[1]湖南机电职业技术学院计算机科学系,湖南长沙410151 [2]南华大学计算机科学与技术学院,湖南衡阳421001

出　　处：《计算技术与自动化》2010年第2期123-127,共5页Computing Technology and Automation

基　　金：湖南省科技计划项目(2009GK3036);湖南省自然科学基金项目(09JJ5042)

摘　　要：目前网络环境下的学习系统大多数只注重协作学习的单一方面,很少顾及学习者的自主性,而且存在其他明显缺陷。本文以计算机网络为依托,以P2P技术为手段,建立自主协作学习网络模型,研究基于该模型的自主协作学习系统实现的三种关键算法:学习兴趣相似度分组算法、基于关键词的学习资料搜索和基于贡献值的资源分配算法,以此为基础设计并实现一种基于P2P的自主协作学习系统。该系统克服目前网络协作学习系统的缺陷,具有较高的理论和应用参考价值。The current network environment to learn the system most of the focus only on single aspects of collaborative learning,few take into account the learner＇s autonomy,but there are other obvious defects.This article relies on a computer network to P2P technology as a means,first of all established autonomous collaborative learning network model,then study the model-based collaborative learning system self-realization of three key algorithms： similarity groups interested in learning algorithm,based on key words learning information search and contribution to value-based resource allocation algorithm,and finally as a basis for the design and implementation of a P2P-based collaborative learning system independent.This system overcomes the shortcomings network collaborative learning systems,theory and applications of high reference value.

关 键 词：P2P网络 自主协作学习 关键算法 系统组建 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]