Abstract |
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Web-based adaptive educational systems incorporate complex intelligent tutoring techniques, which enable the system to recognize an individual user and their needs, and consequently adapt the instructional sequence, learning content as well as the presentation of the learning content. The personalization of adaptive learning systems is done through the user model. There are many works related to user modelling and adaptation models, but they focus mainly on how to model the user and adapt the system accordingly, but doesn’t lookup on sharing and reusing user data. So we propose a system which enables adaptation of the learning environment by sharing the learner information among heterogeneous learning environments. |