arXiv 1201.38832012-01-18cs.HCcs.AIcs.CY

网络协作学习环境中的动态共享上下文处理

Dynamic Shared Context Processing in an E-Collaborative Learning Environment

University of Technology of Belfort-Montbéliard（贝尔福-蒙贝利亚尔技术大学）

Jing Peng, Alain-Jérôme Fougères, Samuel Deniaud, Michel Ferney

备注：: 9 pages; IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 5, September 2010

摘要：

本文提出了一种基于DSC（Dynamic Shared Context）模型的动态共享上下文处理方法，并应用于网络协作学习环境。首先，我们提出了模型。这是一种衡量协作环境中事件和角色之间相关性的方法。通过这种方法，我们可以为每个角色共享最合适的事件信息，而不是在协同工作环境中将所有信息共享给所有角色。最后，在Google App支持的网络学习协同环境中对该方法进行了应用和验证。在本实验中，我们比较了DSC方法测量的事件和角色的相关性和手动测量的相关性。我们描述了有利的点，从这个比较和我们的发现。最后，我们讨论了我们未来的研究混合DSC方法，使动态信息共享更有效的协同工作环境。

英文摘要：

In this paper, we propose a dynamic shared context processing method based on DSC (Dynamic Shared Context) model, applied in an e-collaborative learning environment. Firstly, we present the model. This is a way to measure the relevance between events and roles in collaborative environments. With this method, we can share the most appropriate event information for each role instead of sharing all information to all roles in a collaborative work environment. Then, we apply and verify this method in our project with Google App supported e-learning collaborative environment. During this experiment, we compared DSC method measured relevance of events and roles to manual measured relevance. And we describe the favorable points from this comparison and our finding. Finally, we discuss our future research of a hybrid DSC method to make dynamical information shared more effective in a collaborative work environment.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

摘要：

英文摘要：

相关论文