Abstract
In the e-learning systems developed along the last two decades, developers focused on the user characteristics in order to adapt the proposed content to the user needs and preferences. This adaption is especially based on a user model where the user preferences are stored. When coming with the mobile learning, the wide variety of technical characteristic and standards of devices (notebook computers, cellular phones, Personal Communication System (PCS), Personal Digital Assistants (PDAs).) faces us to take into account new features in the adaption process: the device "preferences". So, delivering tailored contents tend to adapt to not only learner's needs and preferences, but also to mobile device used. In this paper, we propose architecture for mobile learning where we integrate two principal models: the user model and the device model. The Case Based Reasoning (CBR) approach is used to manage both the user model and the device model. (C) 2012 Published by Elsevier Ltd.