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Search Results: 1 - 10 of 1575 matches for " SAMIR BENNANI "
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A proposition of an authoring tool, for pedagogical scripting, adapted to teachers
IMANE RYANE,MOHAMMED KHALIDI IDRISSI,SAMIR BENNANI
International Journal of Engineering Science and Technology , 2011,
Abstract: Pedagogical scripting allows teachers to better plan their courses. There are many authoring tools that help in pedagogical scripting. However these tools are little used by teachers, because they are based on complicated educational modeling language (EMLs) like IMS-LD, and don’t offer any support mechanism for the designtask. Therefore we designed an intuitive authoring tool that allows the creation of scenarios, according to an EML easy to learn for teachers, and with a high level of support. This design assistance is provided through a bank of scenario models, and a repository of best practices in education. This repository is a set of rules to follow in teaching, and that the scenarios created with our tool should verify. The validation of a scenario, according to this repository, is done at the request of the designer, once the design is complete, so as not to limit his creativity. The bank of scenario models will enable designer to choose the scenario model the most adapted to his pedagogical strategy, and to the learning situation that he wants to plan.
A SELECTION ALGORITHM OF TERMS FROM OWL ONTOLOGY FOR SEMANTICALLY CLASSIFY MESSAGES
SAADIA LGARCH,,MOHAMMED KHALIDI IDRISSI,SAMIR BENNANI
International Journal of Engineering Science and Technology , 2010,
Abstract: In E-Learning systems, tutoring plays an important role in supporting learners in overcoming several problems such as feelings of isolation that learners feel, and so ensure monitoring and a quality learning. To collaborate, tutor uses communication tools, particularly the asynchronous tools, like discussion forums. This type of tools allows flexibility in terms of time offered. However, asynchronous tools generate a volume of messages accumulate over time, and that makes the exploitation of the communication space very complex to manage. Tohelp tutor to manage this mass of messages, we proposed a semantics classification tool, which is based on the LSA and ontology. After proving the usefulness of integrating OWL ontology, we propose in this work, to improve the prototype that we implemented in proposing an algorithm for selecting new terms from ontology, based on those introduced by the user. Our algorithm is based on SPARQL, which allows querying OWL ontology.
The improvement of the semantic classification tool to a SOA to ensure a better tutoring
Saadia Lgarch,Mohammed Khalidi Idrissi,Samir Bennani
International Journal of Computer Science Issues , 2011,
Abstract: For a best collaboration between tutor and learner and relatively to discussion forum, we have proposed to tutor a semantic classification tool of messages, which helps him to manage the mass of messages accumulating during the time. The tool provides a semantic classification mechanism based on a chosen theme. For a classification more intelligent semantically, and focusing more the chosen theme, our tool incorporates essentially a formal OWL ontology. The reuse and interoperability offered by ontology remain restrictive in the tool's knowledge base. To overcome this limitation, the improvement of the SOA architecture already proposed will be presented in this paper. An implementation of our classifier using the composite application concept will also be explained. The respect of standards: XML, SOAP, WSDL and BPEL in our implementation, will guarantee the tool's interoperability with platforms which solicit its classification service, while allowing its reuse with a high degree of granularity.
A Reusable and Interoperable Semantic Classification Tool which Integrates Owl Ontology
Saadia Lgarch,Mohammed Khalidi Idrissi,Samir Bennani
International Journal of Computer Science Issues , 2012,
Abstract: In e-Learning systems, tutor plays a very important role to support learners, and guarantee a learning of quality. A successful collaboration between learners and their tutor requires the use of communication tools. Thanks to their flexibility in terms of time, the asynchronous tools as discussion forum are the most used. However this type of tools generates a great mass of messages making tutoring an operation complex to manage, hence the need of a classification tool of messages. We proposed in a first step a semantics classification tool, which is based on the LSA and thesaurus. The possibility that ontology provides to overcome the limitations of the thesaurus encouraged us to use it to control our vocabulary. By the way of our proposed selection algorithm, the OWL ontology is queried to generate new terms which are used to build the LSA matrix. The integration of formal OWL ontology provides a highly relevant semantic classification of messages, and the reuse by other applications of ontological knowledge base is also guaranteed. The interoperability and the knowledge exchange between systems are also ensured by ontology integrated. In order to ensure its reuse and interoperability with systems which requesting for its service of classification, the implementation of our semantic classifier tool basing on the SOA is adopted and it will be explained and tested in this work.
Towards a visual Educational Modeling Language for effective learning
Asmaandacirc; Retbi,Farid Merrouch,Mohammed Khalidi Idrissi,Samir Bennani
International Journal of Computer Science Issues , 2012,
Abstract: Educational Modeling Languages (EMLs) are design languages intended to teachers for modeling any educational unit, independently of the pedagogical approach, context, users or resources employed. However, most existing educational modeling languages are criticized for being too abstract and too complex to be understood and manipulated by teachers. In this paper, we present a visual EML that simplifies the process of authoring learning scenarios for teachers with no programming background. Based on the conceptual framework of the activity theory, our resulting visual EML uses an explicit flow representation to design adaptive sequencing within learning activities, especially for effective learning purposes.
Measures and LMI for space launcher robust control validation
Didier Henrion,Martine Ganet-Schoeller,Samir Bennani
Mathematics , 2012,
Abstract: We describe a new temporal verification framework for safety and robustness analysis of nonlinear control laws, our target application being a space launcher vehicle. Robustness analysis, formulated as a nonconvex nonlinear optimization problem on admissible trajectories corresponding to piecewise polynomial dynamics, is relaxed into a convex linear programming problem on measures. This infinite-dimensional problem is then formulated as a generalized moment problem, which allows for a numerical solution via a hierarchy of linear matrix inequality relaxations solved by semidefinite programming. The approach is illustrated on space launcher vehicle benchmark problems, in the presence of closed-loop nonlinearities (saturations and dead-zones) and axis coupling.
Multi-Objective Particle Swarm Optimization for Facility Location Problem in Wireless Mesh Networks
Tarik Mountassir Bouchaib Nassereddine,Abdelkrim Haqiq,Samir Bennani
Computer Science , 2013,
Abstract: Wireless mesh networks have seen a real progress due of their implementation at a low cost. They present one of Next Generation Networks technologies and can serve as home, companies and universities networks. In this paper, we propose and discuss a new multi-objective model for nodes deployment optimization in Multi-Radio Multi-Channel Wireless Mesh Networks. We exploit the trade-off between network cost and the overall network performance. This optimization problem is solved simultaneously by using a meta-heuristic method that returns a non-dominated set of near optimal solutions. A comparative study was driven to evaluate the efficiency of the proposed model.
Online placement test based on Item Response Theory and IMS Global standards
Farid Merrouch,Meriem Hnida,Mohammed Khalidi Idrissi,Samir Bennani
Computer Science , 2014,
Abstract: This paper aims to present an online placement test. It is based on the Item Response Theory to provide relevant estimates of learner competences. The proposed test is the entry point of our e-Learning system. It gathers the learner response to a set of questions and uses a specific developed algorithm to estimate its level. This algorithm identifies learning gaps, which allows tutors to conceive sequence of courses and remediation adapted to each case of learner, in order to achieve a competence.
FORMATIVE ADAPTIVE TESTING SERVICE WEB TO INDIVIDUALIZE ELEARNING PROCESS
NOUR-EDDINE El FADDOULI,BRAHIM EL FALAKI,MOHAMMED KHALIDI IDRISSI,SAMIR BENNANI
International Journal of Engineering Science and Technology , 2011,
Abstract: In most of the existing E-learning systems, the content and the order of activities are presented in a static manner without taking into consideration the learner’s characteristics. Therefore, customizing and adapting the environment to the learner’s profile has shown important improvement in education quality. There are several adaptation approaches of E-learning environments, such as, adaptive hypermedia system, semantic web, etc. In our proposed system (RIMEV), we adopted a Competency Based Approach (CBA), and we found that a welladapted system depends mainly on the adequacy of the information collected through a personal diagnostic. This diagnostic takes place via an adaptive test using the Item Response Theory (IRT) in a formative approach. This Intelligent test administers optimal items in an appropriate order in a short time and produces a goodassessment of the learner’s skills with accurate results. Thus the e-learning systems can lead the learner to gradually acquire a skill by taking into account his/her characteristics and predispositions.Concerning the technological aspect, the system is implemented as a composed web service, which calls several basic services that coordinate according to an orchestration plan. This allows interoperability with heterogeneous learning systems.
Towards an Adaptive competency-based learning System using assessment
Noureddine El Faddouli,Brahim El Falaki,Mohammed Khalidi Idrissi,Samir Bennani
International Journal of Computer Science Issues , 2011,
Abstract: E-learning is not restricted to publishing online content. The challenge is to apply pedagogical models using new information and communication technologies in order to adjust the learning process. This adaptation will take place by proposing an adaptive learning system. There are several e-learning environment adaptation approaches such as adaptive hypermedia and semantic web. In our proposed system, we focus on evaluation that has not been, up till now, given its real value in the e-learning environment. The purpose is to implement an adaptive learning system for individualized pedagogical paths through a personalized diagnosis of learners' performances. This proposed system relies mainly on assessment and the competency-based approach as a framework. To achieve this goal, we adopt an enhanced cycle of formative assessment while adhering to a service-oriented architecture. The system will be implemented as an activity in a pedagogical scenario defined responding to the learner's needs, while aligning with norms and standards.
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