CAFCLA: An AmI-Based Framework to Design and Develop Context-Aware Collaborative Learning Activities
Fecha de publicación
Springer Science + Business Media
Ambient Intelligence - Software and Applications Advances in Intelligent Systems and Computing. Volumen 219, pp. 41-48.
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 AmI 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 paper 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.
978-3-319-00565-2 (Print) / 978-3-319-00566-9(Online)
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