CAFCLA: A Framework to Design, Develop, and Deploy AmI-Based Collaborative Learning Applications
CAFCLA: A Framework to Design, Develop, and Deploy AmI-Based Collaborative Learning Applications
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DOI：
10.4018/978-1-4666-7284-0.ch012
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发表时间：
2015-01-01
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影响因子：
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通讯作者：
Corchado, Juan M.
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文献类型：
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作者：
Garcia, Oscar;Tapia, Dante I.;Corchado, Juan M.
环境智能（AmI）促进信息和通信技术（ICT）在日常生活中的整合，以简化日常任务的执行。从这个意义上说，教育成为Am]可以通过上下文感知技术改善学习过程的领域。然而，有必要开发能够适应各种技术和应用场景的新工具。这就是智能体技术可以展示其潜力的地方。本章介绍了CAFCLA，一个多代理框架，允许开发学习应用程序的基础上的教学CSCL（计算机支持的协作学习）的方法和环境智能的范例。CAFCLA集成了不同的上下文感知技术，使学习应用程序的设计，开发和部署在它是动态的，自适应的，易于使用的用户，如学生和教师。
Ambient Intelligence (AmI) promotes the integration of Information and Communication Technologies (ICT) in daily life in order to ease the execution of everyday tasks. In this sense, education becomes a field where Am] can improve the learning process by means of context-aware technologies. However; it is necessary to develop new tools that can be adapted to a wide range of technologies and application scenarios. Here is where Agent Technology can demonstrate its potential. This chapter presents CAFCLA, a multi-agent framework that allows developing learning applications based on the pedagogical CSCL (Computer-Supported Collaborative Learning) approach and the Ambient Intelligence paradigm. CAFCLA integrates different context-aware technologies so that learning applications designed, developed, and deployed upon it are dynamic, adaptive, and easy to use by users such as students and teachers.