Mohamed Jemni

Learn More
In this paper, we describe an automatic personalization approach aiming to provide online automatic recommendations for active learners without requiring their explicit feedback. Recommended learning resources are computed based on the current learner’s recent navigation history, as well as exploiting similarities and dissimilarities among learners’(More)
a The Research Unit of Technologies of Information and Communication (UTIC), Higher School of Sciences and Technologies of Tunis (ESSTT), 5, Avenue Taha Hussein, B.P. 56, Bab Menara, 1008 Tunis, Tunisia b School of Computing and Information Systems, Athabasca University, 1 University Drive, Athabasca, AB T9S 3A3, Canada c School of Computing and Information(More)
The extraordinary progresses of new technologies related to data processing and to Internet, offer real opportunities to a better life quality and in particular, to those that endure handicaps. In this context, our project aims to improve accessibility for deaf persons by using the technologies of information and communication. The objective was to design(More)
Current Sign Language animation technologies based on virtual reality cannot generate automatically animations in which the signer associates locations in space with entities under discussion. The automatic spatial association of signs locations is closely related to the sign recognition process. Without sign signature extraction through motion analysis,(More)
While the rapidly increasing number of users and applications running on Desktop Grid (DG) systems does demonstrate its inherent potential, current DG implementations follow the traditional masterworker paradigm and DG middlewares do not cooperate. To extend the DG architecture, we propose a novel system, called BonjourGrid, capable of 1) creating, for each(More)
For personalizing E-learning, several different strategies and characteristics can be used and considered by teachers and course authors/designers. In order to make appropriate decisions on how to best implement personalized E-learning, this paper focuses on the question: How to foresee personalization strategies that are appropriate for particular courses?(More)
In this paper, we present an environment developed in the Research Laboratory of Technologies of Information and Communication [13] of the University of Tunis to aid deaf people in improving their social integration and communication capabilities. In fact, it is proved that sign language is not innate at deaf children and therefore it needs methodic and(More)