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M-Learning framework for massive use of remote laboratories in electronics

Abstract : The aim of this paper is to address the problem of Mobile Learning for life-long training, especially Remote Laboratories through the problem of the remote control of devices. We present a global approach of this problem according to one of the main difficulty due to the m-learning situation : the lack of rich user interactions and the cost of dedicated software. The primary goal of this paper is to describe the framework which allows the remote control, and especially its independence to the devices, the adaptation of the interface to the media used (computer, smartphone, IPTV) and the security issues in order to allow the use of this framework in a real enterprise Information System. We propose a special study on the security issues in such an architecture in such an architecture by explaining why we have made the choice of adopting identity federation technologies as a mean to reach remote devices hosted in different Information Systems. We also describe how the Graphic User Interface can be adapted to the context (level of user expertise and media used to control the device) through a proxy engine, which adapts the interface according to learning policies.
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Contributor : Jacques Fayolle Connect in order to contact the contributor
Submitted on : Monday, May 4, 2009 - 5:59:45 PM
Last modification on : Thursday, November 21, 2019 - 2:38:20 AM


  • HAL Id : ujm-00380974, version 1



Jacques Fayolle, Christophe Gravier, Mikaël Ates, Jérémy Lardon. M-Learning framework for massive use of remote laboratories in electronics. 4th International Conference on Interactive Mobile and Computer Aided Learning (IMCL'09), Apr 2009, Amman, Jordan. pp.CDROM. ⟨ujm-00380974⟩



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