CSCL：计算机支持的协作学习

“计算机支持的协作学习”（Computer Supported Collaborative Learning，简称CSCL）是计算机科学和教育技术领域的常用术语，常被缩写为CSCL以方便书写和引用。这一概念强调利用计算机技术促进多人之间的协作式学习过程，广泛应用于在线教育、虚拟团队合作等场景。

Computer Supported Collaborative Learning具体释义

  • 英文缩写：CSCL
  • 英语全称：Computer Supported Collaborative Learning
  • 中文意思：计算机支持的协作学习
  • 中文拼音：jì suàn jī zhī chí de xié zuò xué xí
  • 相关领域： cscl

Computer Supported Collaborative Learning的英文发音

例句

  1. The computer supported cooperative work ( CSCW ) can improve people's working efficiency, the Computer supported collaborative learning ( CSCL ) is an important application of CSCW in education.
  2. 由于计算机支持的协同工作（CSCW）能提高人们的工作效率，而计算机支持的协同学习（CSCL）又是CSCW思想在教育领域的一个重要应用。
  3. The educational technology research has been focusing on CSCL ( Computer Supported Collaborative Learning(CSCL) ), resulted from the developments of computer multimedia and Internet technologies, melting with more and more collaborative learning theory, methods and applications.
  4. 随着计算机多媒体和网络技术的飞速发展，协作学习不断地与计算机应用交叉融合，计算机支持的协作学习(CSCL)（CSCL）成为了教育技术学研究的焦点。
  5. A personal search & inference platform is realized for e-Learning. The paper also establishes a CSCL ( Computer Supported Collaborative Learning(CSCL) ) model which can direct the building of CSCL system based on Semantic Web.
  6. 并建立了语义Web下的计算机支持的协作学习(CSCL)（ComputerSupportedCollaborativeLearning，CSCL）模型，对CSCL系统的实现具有指导意义。
  7. Since we ushered in the Internet era, computer supported collaborative learning ( CSCL ) has become a hot topic for a lot of experts and scholars graduate, it has no doubt made a great contribution to education.
  8. 自我们迎来了网络时代，计算机支持的协作学习(CSCL)（CSCL）成了诸多专家学者们研究生的热门话题，它的出现的确为教育做出了很大的贡献。
  9. Four architectures for computer supported collaborative learning systems are analyzed using the model-view-controller design pattern and compared from the standpoints of coupling between activities of the users and suitability for educational use, as well as network load and ease of implementation.
  10. 我们以美国Belvedere学习系统的发展历程为例，以模型-视图-控制的设计模式以及用户活动与教学的适用性的结合程度对这4种模型的优劣进行分析，继而提出更为有效的模型。

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