Publications internationales

2017
(2017), Semantic role labeling for Arabic language using case-based reasoning approach. International Journal of Speech Technology. June 2017, Volume 20, Issue 2
(2017), Collaboration in Clinical Reasoning for e-Health Environment. Education in Medicine Journal, June 2017, Volume 9
2016
(2016), MISNA : Modeling and Identification of the situations of Needs for Assistance in ILE. An International Journal of Computing and Informatics, Informatica , Vol.40, N°2
(2016), A User-Centered Educational Modeling Language Improving the Controllability of Learning Design Quali. Journal of Educational Computing Research February 22
2015
(2015), A dynamic navigation for autonomous mobiles robots . 233/IDT-150239 Journal: Intelligent Decision Technologies, pp. 1-11, 2015 : IOS Press, http://content.iospress.com/articles/intelligent-decision-technologies/idt239

Résumé: In this paper, we discuss cooperative approach to solve the problem of navigation for autonomous mobile robots in fully dynamic environments, it is about building an environment of robotics specific to a construction site where such robots must cooperate to deal with the functions related to the site. For that, we used the power of the biological inspiration; the genetic algorithms (GA's) because theirs capacity to solve hard problems in short time in any environment with increasing complexity which are an interesting alternative to conventional methods of path planning. Our work is to determine the optimal path of several mobile robots using genetic algorithms in a dynamic environment. The evaluation of paths is a ``fitness'' function based on the path length. This method is implemented and tested on several scenarios. The results demonstrate the robustness and performance of our approach.

(2015), A dynamic navigation for autonomous mobiles robots Lien : http://content.iospress.com/articles/in. intelligent-decision-technologies http://content.iospress.com/articles/intelligent-decision-technologies/idt239
2012
(2012), Hybrid Approach for Modeling Units of Learning. Journal of Data Processing, Volume 2 Number 4, December 2012
2010
(2010), Integration of Pedagogical Agent and Simulator of Interactive Pedagogical Activities:SIMULAgent. Contemporary Engineering Sciences, : Hikari,

Résumé: The Research in Human Interactive Learning Environment (HILE) evolves in three directions:adaptive hypermedia which allow a presentation of educational hypermedia documents adapted to the learner’s level, pedagogical simulator in a distance learning context and animated pedagogical agents which aims at explaining the course and motivating the learner by communica tive and emotional aspects through verbal and non-verbal communication signs. In this paper, we present a new approach aiming to integrate a pedagogical agents and pedagogical simulator (cooperation in distance learning context) which are in fact complementary but not yet satisfactorily integrated in the current systems. Our global gait is based on studies emanating from interpersonal multimodal communication domain, and on analyses of the multimodal behavior of the teachers facing the learners. In this paper we describe an environment permitting, for a given pedagogical situation (learner’s level, content to present), to distribute the adaptative presentation between the simulator and the pedagogical agent.

2007
(2007), AN INTERACTIVE WEB-BASED ENVIRONMENT USING PEDAGOGICAL AGENTS. Journal of Computer Information Systems (JCIS) : Official Journal of IACIS, http://www.iacis.org/jcis/jcis_toc.php?volume=48&issue=4

Résumé: This paper describes the architecture of an Interactive Learning Environment (ILE) on the Internet using companions, including a human one geographically distant from the learning site. The achieved system relies on 3-tiers Client/Server architecture (Client, Web Server, Data and applications Server) where human and software agents can communicate via the Internet and use the DTL strategy (Double Test Learning). The architecture contains five main agents: a tutor agent in charge of guiding the learner; a system agent whose role is to manage and to control the accesses to the system; a teacher agent in charge of the management and the updating of the different bases; a learner agent representing the main agent of the system for whom the teaching is dedicated, and finally a learning companion agent whose role can sometimes be as an assistant, and other times, as a troublemaker.

(2007), SAPIENCE: A Simulator of Interactive Pedagogical Activities for Distance Learning Environment. 345-3. The International Arab Journal of Information Technology (IAJIT)http://ccis2k.org/iajit/

Résumé: Several works on engineering Learning Active Situations (LAS) gave birth to tools for distance learning scriptwriting based on collaboration and interactivity. This paper describes a distance-learning environment that integrates a simulator for interactive pedagogical activities dedicated to the teaching of the compilation. The achieved prototype, SAPIENCE, is a framework based on controlled simulation. The device software uses the notion of interactivity with its different kinds in order to conceive LAS founded on the pedagogical script forms and the script monitor concepts. The teacher possesses tools enabling him/her to work out some LAS according to the learner’s profile, to adapt the pedagogical strategies, to supervise the different registered learners in the different sessions in a personalized way, or in a group; and so, to control the learner’s activities and to provide the most adapted pedagogical assistance.

(2007), Un Système Tuteur utilisant un Compagnon Perturbateur. Bulletin d’Informatique Approfondie et Applications, N°77, Juin 2007.
2006
(2006), A virtual classroom environment based multi-agents using human companion. International Arab Journal on Information Technology, IAJIT, Vol 3, No 1, April 2006.
2005
(2005), An interactive Web-based environment using human companion. Computer Science Journal of Moldavia, CSJM, Vol 13, No 3(39), 2005.

Communications internationales

2017
(2017), La Collaboration dans le raisonnement clinique dans un environnement e-Santé . 8ème Conférence sur les Environnements Informatiques pour l’Apprentissage Humain, EIAH 2017, Strasbo
2014
(2014), Enhancing the Accessibility of IMS-Learning Design. International Conference on Artificial Intelligence and Information Technology, ICA2IT Ouargla, Marc
(2014), New planning Model of mobile robot based on multi-agent theory in a complex environment. International Conference on Artificial Intelligence and Information Technology, ICA2IT Ouargla, Marc
2013
(2013), Instructional Design Approach for Modeling Formal Units of Learning. 2nd International Conference on Signal, Image, Vision and their Applications (SIVA'13), Guelma, Nove
(2013), Un raisonnement à partir de cas pour la traduction automatique arabe-français fondé sur la sémantiqu. 1er Colloque pour les Etudiants Chercheurs en Traitement Automatique du Langage Naturel et ses Appli
(2013), Un raisonnement à partir de cas pour la traduction automatique arabe-français fondé sur la sémantiqu. 21ème Atelier Français de Raisonnement à Partir de Cas, RaPC’2013,02 Juillet 2013, Lille, France.
2012
(2012), Une Modelisation De L’Apprenant Basee Web Semantique Et Web Services. International Conference on Education and e-Learning Innovations (ICEELI 2012), Sousse, Tunisia : IEEE ,
(2012), Hybrid Approach for Modeling Units of Learning. International Conference on Education and e-Learning Innovations (ICEELI 2012),Sousse, Tunisia : IEEE,
(2012), Détection Des Situations D’assistance Pédagogique Par L’analyse De Comportement Dans Un Eiah. International Conference on Education and e-Learning Innovations (ICEELI 2012) Sousse, Tunisia : IEEE,
(2012), Cooperative Approach navigation for Mobile Robots (Application for a building Site) . ICDSD’2012, Oran/Algerie
(2012), Designing a Model for Assistance based web Service in Interactive Learning Environment. eLearning and Software for Education Conference, eLSE’2012, April 26-27, 2012, Bucharest, Roumanie.
(2012), Une Approche Hybride pour la création de scénarios Pédogogique. 2eme Colloque Internationale ISKO-Maghreb, 3-4 Novembre 2012, Hammamet, Tunisie.
(2012), Un Modèle de Planification multi Robots basé sur les Algorithmes Génétiques pour la navigation optim. International Conference on Embedded Systems in Telecommunication and Instrumentation, ICESTI’2012,
2011
(2011), Educational Assistance in a Web-service Based for Coputer Human Learning Environment (CHLE). 5th GUIDE International Conference, 18-19, November, 2011, Rome, Italy.
2009
(2009), Coopération entre un Hypermédia Educatif et un Agent Pédagogique : HYPERAgent. Conférence Internationale sur les Technologies de l’Information et de la Communication, CITIC’09, Sé
2006
(2006), SAPIENCE : A simulator of interactive pedagogical activities for a distance learning environment. The 4th International Multiconference on Computer Science and Information Technology (CSIT2006) : Applied Science Private University, Amman Jordan 2006 , http://fafs.uop.edu.jo/download/research/members/CSIT2006/vol3%20pdf/pg214.pdf

Résumé: Several works on engineering of learning active situations (LAS) gave birth to tools for distance learning scriptwriting based on collaboration and interactivity. This paper describes a distance-learning environment that integrates a simulator of interactive pedagogical activities dedicated to the teaching of the compilation. The achieved prototype, SAPIENCE is a framework based on controlled simulation. The device software uses the notion of interactivity with its different kinds in order to conceive learning active situations (LAS) founded on the pedagogical script forms and the script monitor concepts. The teacher possesses tools enabling him/her to work out some LAS according to the learner’s profile, to adapt the pedagogical strategies, to supervise the different registered learners in the different sessions in a personalized way, or in a group; and so, to control learner’s activities and to provide the most adapted pedagogical assistance.

(2006), SAPIENCE : A simulator of interactive pedagogical activities for distance learning environment. CSIT, Conference on Sciences and Information Technlogy, Zarqa University, Ammam, Jordan ,April, 2006
(2006), SAPIENCE : A simulator of interactive pedagogical activities for distance learning environment. INFORSID, Hammamet, 1-3 Juin 2006,Tunisie.
(2006), SAPIENCE : A simulator of interactive pedagogical activities for distance learning environment. 7th International Conference on Information Technology Based Higher Education and Training, 2006. IT
(2006), SIMULAgent : Un Environnement Coopératif entre Agent Pédagogique et Simulateur d’Activités Pédagogiq. 9ème Conférence Africaine sut la Recherche en Informatique et Mathématiques Appliquées, CARI’08, Rab
2004
(2004), A virtual classroom environment based multi-agents using companions . 5th International Conference on Computational Aspects and Their Appllication in Electrical Engineeri
(2004), A virtual classroom environment based multi-agents using companions. 7th Maghrebian Conference on System and Engineering Application , MCSEAI04,Sousse Tunisia Mai 2004
(2004), Un environnement d’apprentissage coopératif virtuel utilisant un compagnon humain. 7ème Colloque Africain sur la Recherche en Informatique, CARI’04, 17–25 Octobre 2004, Hammamet, Tun
2002
(2002), DB-TUTOR++ : un système tuteur utilisant un compagnon perturbateur. 6ème Colloque Africain sur la Recherche en Informatique, CARI’02, 14-17 Octobre 2002, Yaoundé, Came
2001
(2001), DB-TUTOR: An Intelligent Tutoring System Using a Troublemaker Companion.. ACS / IEEE International Conference on Computer Systems and Applications (AICCSA 2001), 26-29 June 2 : IEEE,

Résumé: Many Intelligent Tutoring Systems (ITS) using a learning machine companion called Learning Companion Systems (LCS) has been developed these last years. These systems involve three agents: a teacher, a student and a companion. These systems use the idea that the social interaction has an influence on the cognitive development. The basic idea is that the student can learn from his mistakes and can benefit from the companion's mistakes. The companion is looked for assistance, and other times as a troublemaker. The goal of the learning companion is to stimulate through collaboration competition and demonstration. This paper outlines the architecture of an intelligent tutoring system based on the Double Test Learning (DTL) strategy and using two companions as a co-students where one of both is a troublemaker. The system called DB-TUTOR is proposed to teaching the databases for the students of the third year of the graduate cycle. The DTL strategy introduces a co-student in the learning session that receives the same training as the human student. The idea of the DTL strategy, which contains four phases, is based on that the student will benefit from the co-students's mistakes and their behavior. When the training phase is completed, the tutor will test the co-students. In this phase called Post-Test1, the student will follow the interaction between the tutor and the co-students and he can mention observations about the behavior of the co-students in a notebook that is created for that fact. This interaction consists of a sequence of question/answer that is evaluated by the tutor. In the second phase called post-test2, the tutor will evaluate the human student, which will react to the interaction without his notebook. We propose a student model taking into account the DTL strategy for the evaluation phase. A prototype of the DB-TUTOR system has been developed under DELPHI 5 environment

(2001), DB-TUTOR : An intelligent tutoring system using a troublemaker companion. ACS/IEEE International Conference on Computer Systems and Applications (AICCSA’2001), Beyruth,
1999
(1999), Student-modelling using the Double Test Learning strategy. Current Trends in Computer Science Applications and information Systems, CTCSIS’99, Amman,July, 13-1
(1999), SACEPAF+ System : Student-Modelling using the Double Test Learning Strategy for the SACEPAF System. 4th International Symposium on Programming and Systems, ISPS’99, Alger, 18-20 Octobre, 1999.
(1999), SACEPAF+: A Intelligent Tutoring System using a Learning Machine Companion. Conférence Internationale en Informatique, CII’99, Annaba,21-23 Novembre 1999.
1996
(1996), SACEPAF: A Learning Environment intelligently aided by computer. Current Trends in Computer Science Applications and Information Systems, CTCSIS’96, Amman, July, 6-7

Communications nationales

2014
(2014), Modélisation des Situations de Besoins d’Assistance dans un EIAH : Le Modèle IMAC. 4éme Journées Doctorales en Informatique de Guelma, Université de Guelmahttp://www.labstic.com/jdi14/jdi14/
(2014), Modélisation des Situations de Besoins d’Assistance dans un EIAH: Le Modèle IMAC. 4ème Journées Doctorales en Informatique de Guelma, JDI’14, 03-04 Décembre, Guelma 2014.
(2014), Un modèle pour la génération de situations d’apprentissage de pédagogie par projet collectif. 4ème Journées Doctorales en Informatique de Guelma, JDI’14, 03-04 Décembre, Guelma 2014.
2013
(2013), Une approche orientée service web pour un système d’aide pédagogique. 3ème Journées Doctorales en Informatique de Guelma, JDI’13, 4-5 Décembre, Guelma 2013.
2012
(2012), Cooperative Approach navigation for autonomous Robots Mobile. Journées Doctorales en Informatique, Guelma
(2012), ALEM : Un modèle de référence pour un hypermédia éducatif. 1er Séminaire Nationale sur les Technologies Educatives, 1er Séminaire Nationale sur les Technologie
(2012), Conception d’un modèle d’assistance basé Web services dans un environnement d’enseignement à distanc. 1er Séminaire Nationale sur les Technologies Educatives, SNTE’2012, 06-07 Mars 2012, Guelma.
(2012), Cooperative Approach for autonomous Robots Mobile. 2ème Journées Doctorales en Informatique de Guelma, JDI’12, 2ème Journées Doctorales en Informatiq
2011
(2011), Un Modèle Basé sur la Correspondance Entre les Modèles Abstraits et Modèles Métier de Scenario Péda. Journées Doctorales en Informatique d Oran, JDLIO’2011, Université es-Senia Oran
(2011), Un modèle basé sur la correspondance entre les modèles abstraits et les modèles métiers de scénario . Journées Doctorales du Laboratoire d’Informatique d’Oran, JDLIO’2011, 31 mai et 01 juin 2011,Oran, 2
(2011), Un modèle de planification multi-robots basé sur les algorithmes génétiques pour la navigation optim. Journées Doctorales du Laboratoire d’Informatique d’Oran, JDLIO’2011, 31 mai et 01 juin 2011, Oran,
2010
(2010), Modélisation de l’Apprenant Basée Web Sémantique. Journées Ecole Doctorale de Annaba 2010, JED’2010, Département d’Informatique, Université Badji-Mokh
(2010), CoMédia : Coopération entre simulateur et hypermédia basée agent pédagogique. 7ème Séminaire National en Informatique, SNIB’10, Biskra, 02-04 Novembre, 2010
2008
(2008), Un Environnement Coopératif entre un Agent Pédagogique et un Simulateur d’Activités Pédagogiques Int. 6ème Séminaire Nationale d’Informatique de Biskra, SNIB’08, 6-8 Mai 2008, Biskra.
2006
(2006), SAPIENCE : A simulator of interactive pedagogical activities for distance learning environment. 5ème Séminaire National en Informatique, SNIB’06, Biskra, 3-5 Mai, 2006.
1995
(1995), SACEPAF: Un environnement d’Apprentissage du Calcul Elémentaire Intelligemment Asssité par Ordinateu. 1er Séminaire National en Informatique, SNIB’96, Biskra, 10-11 Novembre, 1995.