{"id":127,"date":"2025-11-19T23:14:55","date_gmt":"2025-11-19T22:14:55","guid":{"rendered":"https:\/\/laboratoire.univ-mosta.dz\/cstl\/?page_id=127"},"modified":"2025-11-29T16:24:31","modified_gmt":"2025-11-29T15:24:31","slug":"ai2c-adaptation-interactions-co-construction-of-knowledge","status":"publish","type":"page","link":"https:\/\/laboratoire.univ-mosta.dz\/cstl\/ai2c-adaptation-interactions-co-construction-of-knowledge\/","title":{"rendered":"AI2C – Adaptation, Interactions, Co-Construction of knowledge"},"content":{"rendered":"\n

\u00c9quipe AI2C : Adaptation, Interactions, Co-Construction of knowledge<\/strong><\/h1>\n\n\n\n

Responsable<\/strong> : Karim Sehaba<\/h3>\n\n\n\n
<\/div><\/div>\n\n\n\n

[Pr\u00e9sentation<\/a>] \u2022 [Membres<\/a>] \u2022 \u00a0[Publications<\/a>]\u00a0 \u00a0<\/strong><\/h2>\n\n\n\n
<\/div><\/div>\n\n\n\n

Pr\u00e9sentation de l’\u00e9quipe<\/h1>\n\n\n\n

Fondement scientifique<\/h2>\n\n\n\n

Les travaux de recherche de l\u2019\u00e9quipe se situent \u00e0 la crois\u00e9e des domaines des environnements informatiques pour l\u2019apprentissage humain (EIAH), l\u2019ing\u00e9nierie de connaissances et l\u2019intelligence artificielle. Ces recherches sont motiv\u00e9es par des applications dans les secteurs de l\u2019\u00e9ducation, la sant\u00e9 et les syst\u00e8mes industriels. En \u00e9ducation, l\u2019\u00e9quipe s\u2019int\u00e9resse au d\u00e9veloppement des environnements num\u00e9riques pour l\u2019apprentissage humain, en prenant en compte des personnes ayant des profils diff\u00e9rents. L\u2019apprentissage, m\u00e9di\u00e9 par l\u2019environnement num\u00e9rique, devra proposer des activit\u00e9s p\u00e9dagogiques adapt\u00e9es \u00e0 l\u2019utilisateur en prenant en compte son profil et ses besoins sp\u00e9cifiques. Dans le domaine de la sant\u00e9, l\u2019\u00e9quipe a une forte exp\u00e9rience dans l\u2019assistance aux personnes en situation de handicap, que ce soit pour la rem\u00e9diation des troubles cognitifs ou l\u2019accessibilit\u00e9 des contenus p\u00e9dagogiques. L\u2019\u00e9quipe a \u00e9galement acquis une exp\u00e9rience de collaboration avec des structures hospitali\u00e8res dans la prise en charge de patients victimes d\u2019un accident. Concernant les syst\u00e8mes industriels, l\u2019\u00e9quipe s\u2019int\u00e9resse \u00e0 l\u2019ordonnancement des t\u00e2ches, la maintenance industrielle et l\u2019optimisation des processus de production.<\/span><\/p>\n\n\n\n

<\/p>\n\n\n\n

Objectifs<\/h2>\n\n\n\n

L\u2019e\u0301quipe AI2C est spe\u0301cialise\u0301e dans le de\u0301veloppement des mode\u0300les et des outils ge\u0301ne\u0301riques permettant de faciliter l\u2019interaction entre l\u2019utilisateur et la machine en proposant des syste\u0300mes adaptatifs capables d\u2019extraire de manie\u0300re dynamique des connaissances a\u0300 partir de cette interaction. Dans ce cadre, les recherches de l\u2019e\u0301quipe portent sur trois the\u0301matiques :<\/span><\/p>\n\n\n\n

    \n
  • \n

    Extraction interactive des connaissances et l\u2019adaptation de l\u2019environnement nume\u0301rique a\u0300 son contexte d\u2019usage. Il s\u2019agit de de\u0301velopper des mode\u0300les permettant a\u0300 l\u2019environnement nume\u0301rique de s\u2019auto-adapter a\u0300 l\u2019utilisateur, son environnement et la plate-forme qu\u2019il utilise. Les proble\u0301matiques associe\u0301es concernent la repre\u0301sentation et l\u2019exploration des traces, le profilage et l\u2019analyse du comportement de l\u2019utilisateur.<\/span><\/p>\n<\/li>\n<\/ul>\n\n\n\n

      \n
    • \n

      Immersion et l\u2019engagement de l\u2019utilisateur a\u0300 travers la mise en place d\u2019environnements ludifie\u0301s. Pour cela, nous de\u0301veloppons des serious games et des approches de gamification adaptative.<\/span><\/p>\n<\/li>\n<\/ul>\n\n\n\n

        \n
      • \n

        Optimisation et aide a\u0300 la de\u0301cision a\u0300 travers des syste\u0300mes de recommandation adaptative. Pour cela, nous nous basons sur des approches d\u2019intelligence artificielle et d\u2019inge\u0301nierie de connaissances, comme le datamining, ordonnancement de ta\u0302ches, le raisonnement a\u0300 partir de cas, etc.<\/span><\/p>\n<\/li>\n<\/ul>\n\n\n\n

        Mots cl\u00e9s<\/h2>\n\n\n\n

        Adaptation, EIAH, IA, immersion et engagement de l\u2019utilisateur, profil utilisateur, Optimisation, aide \u00e0 la d\u00e9cision.<\/span><\/p>\n\n\n\n

        Membres de l’\u00e9quipe<\/h1>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
        Nom<\/strong><\/span><\/td>\nPr\u00e9nom<\/strong><\/span><\/td>\nStatut<\/strong><\/span><\/td>\n\u00c9tablissement<\/strong><\/span><\/td>\n<\/tr>\n
        Karim<\/span><\/td>\nSehaba<\/span><\/td>\nProfesseur<\/span><\/td>\nUMAB<\/span><\/td>\n<\/tr>\n
        Bouchra<\/span><\/td>\nKaid-Slimane<\/span><\/td>\nMaitre de conf\u00e9rence A<\/span><\/td>\nUMAB<\/span><\/td>\n<\/tr>\n
        Nadia<\/span><\/td>\nHocine<\/span><\/td>\nMaitre de conf\u00e9rence A<\/span><\/td>\nUMAB<\/span><\/td>\n<\/tr>\n
        Dalali<\/span><\/td>\n\n
        Hamami<\/span><\/div>\n<\/td>\n
        		\n
        Ma\u00eetre de conf\u00e9rence B<\/span><\/div>\n<\/td>\n
        		\n
        UMAB<\/span><\/div>\n<\/td>\n<\/tr>\n
        Mohamed<\/span><\/td>\nBenslimane<\/span><\/td>\nDocteur Associ\u00e9<\/span><\/td>\nUMAB<\/span><\/td>\n<\/tr>\n
        Mohamed<\/span><\/td>\nMoussa<\/span><\/td>\nMa\u00eetre de conf\u00e9rence B – Associ\u00e9<\/span><\/td>\nUMAB<\/span><\/td>\n<\/tr>\n
        Abdallah<\/span><\/td>\nBelmehdi<\/span><\/td>\nIng\u00e9nieur<\/span><\/td>\nUMAB<\/span><\/td>\n<\/tr>\n
        Sara<\/span><\/td>\nAit Ali<\/span><\/td>\nDoctorant<\/span><\/td>\nUMAB<\/span><\/td>\n<\/tr>\n
        Ismail<\/span><\/td>\nBelghit<\/span><\/td>\nDoctorant<\/span><\/td>\nUMAB<\/span><\/td>\n<\/tr>\n
        Amani<\/span><\/td>\nBelkacem<\/span><\/td>\nDoctorant<\/span><\/td>\nUMAB<\/span><\/td>\n<\/tr>\n
        Linda<\/span><\/td>\nBenachenhou<\/span><\/td>\nDoctorant<\/span><\/td>\nUMAB<\/span><\/td>\n<\/tr>\n
        Amira<\/span><\/td>\nDerdour<\/span><\/td>\nDoctorant<\/span><\/td>\nUMAB<\/span><\/td>\n<\/tr>\n
        Abdellah<\/span><\/td>\nMedles<\/span><\/td>\nDoctorant<\/span><\/td>\nUMAB<\/span><\/td>\n<\/tr>\n
        Mohamed Bouasria<\/span><\/td>\nOuld Moussa<\/span><\/td>\nDoctorant<\/span><\/td>\nUMAB<\/span><\/td>\n<\/tr>\n
        Fodil<\/span><\/td>\nSebaa<\/span><\/td>\nDoctorant<\/span><\/td>\nUMAB<\/span><\/td>\n<\/tr>\n
        Kaouther<\/span><\/td>\nSoltani<\/span><\/td>\nDoctorant<\/span><\/td>\nUMAB<\/span><\/td>\n<\/tr>\n
        Ikhlas<\/span><\/td>\nZeblah<\/span><\/td>\nDoctorant<\/span><\/td>\nUMAB<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n

        Publications<\/h1>\n\n\n\n

        Publications dans des revues internationales<\/h2>\n\n\n\n
          \n
        • Nadia Hocine, Karim Sehaba: A systematic review of online personalized systems for the autonomous learning of people with cognitive disabilities. Hum. Comput. Interact. 39(3-4): 174-205 (2024)<\/li>\n
        • Bouchra Triqui, Abdelkader Benyettou, \u201dDiabetes Prediction Using Feature Selection\u201d, International Journal on Engineering Applications (IREA), March 2021. DOI: https:\/\/doi.org\/10.15866\/irea.v9i2.20471<\/li>\n
        • Yingdong Liu, Beno\u00eet Encelle & Karim Sehaba (2020). \u00ab A User-Centered Approach to Design a Mobile Application for Chronic Pain Management \u00bb. Modelling, measurement and control C, vol. 81, 1-4, pp. 24-29. doi : 10.18280\/mmc_c.811-405.<\/li>\n
        • Hamami, D., Atmani, B., Cameron, R., Pollock, K. G., & Shankland, C. (2019). Improving process algebra model structure and parameters in infectious disease epidemiology through data mining. Journal of Intelligent Information Systems, 52(3), 477\u2013499. Springer. DOI : 10.1007\/s10844-017-0476-1 \u2014 https:\/\/link.springer.com\/article\/10.1007\/s10844-017-0476-1<\/li>\n
        • Bouchra Triqui, Abdelkader Benyettou, \u201dSemi Supervised Kohonen Map for Cardiac Anomalies Detection\u201d, International Review on Modelling and Simulations (IREMOS), Vol.12, Issue 3, pp. 196-205, June 2019. https:\/\/doi.org\/10.15866\/iremos.v12i3.16953<\/li>\n
        • Bouchra Triqui, Abdelkader Benyettou, \u201dComparative Study Between Radial Basis Function And Temporal Neuron Network Basic In Cardiac Arrhythmia\u201d, International Journal on Communications Antenna and Propagation (IRECAP), 2018. https:\/\/doi.org\/10.15866\/irecap.v8i2.14079<\/li>\n
        • Mohammed Tadlaoui; Karim Sehaba; S\u00e9bastien George; Azeddine Chikh; Karim Bouamrane. Social recommender approach for technology-enhanced learning. International Journal of Learning Technology (IJLT), Vol. 13, No. 1. Pages 61-89. Inderscience. 2018.<\/li>\n
        • Hadya Boufera, Fatima Bendella, Karim Sehaba. Development of an Adaptive Collaborative Serious Game Based on Learning Style, Using Trace and Agent Technology. Journal of Digital Information Management. Volume 16 Number 3. 10.6025\/jdim\/2018\/16\/3\/127-135. June. 2018.<\/li>\n
        • Dalila Hamami, Atmani Baghdad, and Carron Shankland. 2017. Decision Support based on Bio-PEPA Modeling and Decision Tree Induction: A New Approach, Applied to a Tuberculosis Case Study. Int. J. Inf. Syst. Serv. Sect. 9, 2 (April 2017), 71\u2013101. https:\/\/doi.org\/10.4018\/IJISSS.2017040104<\/li>\n
        • Hamami, D., Cameron, R., Pollock, K. G., & Shankland, C. (2017). Waning immunity is associated with periodic large outbreaks of mumps: A mathematical modeling study of Scottish data. Frontiers in Physiology, 8, Article 233. Frontiers Media. DOI : 10.3389\/fphys.2017.00233<\/li>\n
        • Bouchra Triqui, Abdelkader Benyettou, \u201cOptimization of Medical Data Transfer from the MITBIH Arrhythmia Database to the Learning Machine\u201d, US-China Education Review B, October 2017, Vol. 7, No. 10, 485-492, USA.<\/li>\n
        • Bouchra Triqui, Abdelkader Benyettou, Cardiac Arrhythmia Classification by Support Vector Machine\u201d, Turkish Online Journal of Educational Technology, ISSN 1303 \u2013 6521, pp.486-494, 2017.<\/li>\n
        • Karim Sehaba, Olivier Champalle & Alain Mille. Assisting activity analysis in professional learning environments: Case study: Activity analysis of trainees on nuclear power plant full-scale simulators. International Journal of Learning Technology (IJLT\u201917). 88-118. Inderscience. 2017.<\/li>\n
        • B. Karami, K. Sehaba, B. Encelle. Adaptive Artificial Companions learning from users’ feedback \u00bb. Adaptive Behavior Journal. April 2016 vol. 24 no. 2. pp 69-86. 2016.<\/li>\n
        • Olivier Champalle, Karim Sehaba & Alain Mille. Observation et analyse de comportements des utilisateurs \u00e0 base de traces. Revue des Sciences et Technologies de l’Information – S\u00e9rie TSI : Technique et Science Informatiques,volume 35 N4-5, pp. 463-498. 2016.<\/li>\n<\/ul>\n

           <\/p>\n\n\n\n

          Publications dans des conf\u00e9rences internationales<\/h2>\n\n\n\n
            \n
          • Bouchra Triqui, Lamia SARI, Redha DBJEBBARA, Abdessamad AMIR, \u201cMachine Learning for Analysis of Industrial Data\u201d, 22nd International Conference on \u201cInnovations in Science, Engineering & Technology\u201d (ICISET-22), Istanbul, Turkey.<\/li>\n
          • Hajar Saddoug, Aryan Rahimian, Bertrand Marne, Mathieu Muratet, Karim Sehaba, S\u00e9bastien Jolivet: Review of the Adaptability of a Set of Learning Games Meant for Teaching Computational Thinking or Programming in France. CSEDU (1) 2022: 562-569<\/li>\n
          • Bertrand Marne, Mathieu Muratet, Karim Sehaba: Toward a Meta-design Method for Learning Games. 13th International Conference on Computer Supported Education (CSEDU 2021), Apr 2021, Online, Portugal. pp.370-376.<\/li>\n
          • Karim Sehaba (2020). \u00ab Learner Performance Prediction Indicators based on Machine Learning \u00bb. 12th International Conference on Computer Supported Education, 4 mai 2020, Prague (R\u00e9publique Tch\u00e8que), pp. 47-57. doi : 10.5220\/0009396100470057<\/li>\n
          • Beno\u00eet Encelle, Karim Sehaba. Towards Web Browsing Assistance Using Task Modeling Based on Observed Usages Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2019, Sep 2019, Vienne, Austria. pp.453-471, \u27e810.1007\/978-3-030-66196-0_21\u27e9<\/li>\n
          • Karim Sehaba, Beno\u00eet Encelle. Generation of Task Models from Observed Usage Application to Web Browsing Assistance. International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K). 74-82. Vienna, Austria. 2019.<\/li>\n
          • Karami A.B., Encelle B., Sehaba K. A Pilot Study on Estimating Players Dispositional Profiles from Game Traces Analysis. In: Bi Y., Bhatia R., Kapoor S. (eds) Intelligent Systems and Applications. IntelliSys 2019. Advances in Intelligent Systems and Computing, vol 1037. Springer, Cham. 2019: 1101-1120<\/li>\n
          • Bouchra Triqui, Abdelkader Benyettou, \u201cA Pattern Recognition System for Detection of Road Signs\u201d, International Conference on New Horizons in Education Conference (INTE), July 18-20, 2018, Paris, France.<\/li>\n
          • Lamia Sari, Bouchra Triqui, Mohammed Bennekrouf, \u201cGestion de stocks dans un r\u00e9seau de Distribution en adoptant diff\u00e9rentes Flottes de vehicules\u201d, 11th International Colloquium of Logistics and Supply Chain Management LOGISTIQUA 2018, Tanger, Maroc.<\/li>\n
          • Bouchra Triqui, Abdelkader Benyettou, \u201cCardiac Arrhythmia Classification by Support Vector Machine\u201d International Conference on New Horizons in Education, INTE conference, 2017, Berlin, Allemagne.<\/li>\n
          • Karim Sehaba (2018). \u00ab Calculation of the User Ability Profile in Disability Situations \u00bb. International Conference on Computers for Handicapped Persons (ICCHP), 4 juillet 2018, Linz (Autriche), pp. 100-103. doi : 10.1007\/978-3-319-94277-3_18.<\/li>\n
          • Afef Ghannem, Karim Sehaba, Raoudha Khch\u00e9rif, Henda Ben Gh\u00e9zala: Analysis of Serious Games based Learning Requirements using Feedback and Traces of Users. CSEDU (1) 2018: 280-287.<\/li>\n
          • Bouchra Triqui, Abdelkader Benyettou, \u201cOptimization of medical data transfer from the MIT-BIH arrhythmia database to the learning machine\u201d, International Trends and Issues in Communication & Media Conference, ITICAM 2017, Berlin, Allemagne.<\/li>\n
          • Bouchra Triqui, Abdelkader Benyettou,\u201c Classification Of Cardiac Arrhythmias By Temporal Kohonen Map\u201d, International Science and Technology Conference, ISTEC AMERICA Conference 2017, Harvard University, CAMBRIDGE, Aout 16-18, USA.<\/li>\n
          • Bouchra Triqui, Abdelkader Benyettou\u201c Machine learning in Medical Field for Decision Making\u201d, International Educational Technology Conference, IETC Conference 2017, Harvard University, CAMBRIDGE, Aout 16-18, USA.<\/li>\n
          • Bouchra Triqui, Lamia Sari, Abdelkader Benyettou \u201cLa d\u00e9tection des Arythmies Cardiaques par les R\u00e9seaux \u00e0 fonctions de base radiales\u201d, The International Symposium on Computer Sciences and Applications, ISCSA2017, Octobre 28-30, Maroc.<\/li>\n
          • Bouchra Triqui, Abdelkader Benyettou,\u201cCardiac arrhythmia classification by neural network (MLP)\u201d International Science and Technology Conference ISTEC EUROPE, 2017, Berlin, Allemagne.<\/li>\n
          • Afef Ghannem, Karim Sehaba, Raoudha Khch\u00e9rif, Henda Hajjami Ben Gh\u00e9zala. Towards Serious Game Content-Extraction for a Pedagogical Evaluation. Dans 17th IEEE International Conference on Advanced Learning Technologies (ICALT\u201917), 178-179, IEEE Computer Society ed. 2017.<\/li>\n
          • Hallifax Stuart, Karim Sehaba, Beno\u00eet Encelle & Jean-Charles Marty.Creation of GBL scenarios for multi-device environments. 10th European Conference on Games Based Learning. Paisley, Scotland (Royaume-Uni). 2016.<\/li>\n
          • Lopez-Arcos Jos\u00e9 Rafael, Jean-Charles Marty, Karim Sehaba & Luis Guti\u00e9rrez Vela1 Francisco. A formal method to design and evaluate interactive stories for pervasive learning games. 10th European Conference on Games Based Learning. Paisley, Scotland (Royaume-Uni). 2016<\/li>\n
          • Aarij Hussaan & Karim Sehaba. Consistency verication of learner proles in adaptive serious games. ELEVENTH EUROPEAN CONFERENCE ON TECHNOLOGY ENHANCED LEARNING, 384-389. septembre 2016, Lyon (France).<\/li>\n
          • Joseph Garnier, Jean-Charles Marty & Karim Sehaba. Familiarity and Goal Relevance Detection with the Component Process Model. The Sixteenth International Conference on Intelligent Virtual Agents (IVA 2016), pages 373-377. Los Angeles, California- USA. Septembre 2016.<\/li>\n<\/ul>\n\n\n\n

            <\/p>\n\n\n\n\n\n

            Publications dans des conf\u00e9rences nationales<\/h2>\n\n\n\n
              \n
            • Belkacem Amani,Triqui Kaid-Slimane Bochra, and Mohammed Habib Zahmani, \u00ab Mohamed2Lung cancer Detection and Classification using deep learning: a literature review \u00bb, Computer Science and New Technologies – CSNT\u20192025. 162-187. D\u00e9cembre 2025. Mostaganem.<\/li>\n
            • Fodil sebaa, Mohammed Habib Zahman , Bouchra Triqui Kaid Slimane and Wassim Bouazza, \u00ab AI in Emergency Department Planning and Scheduling: A short review \u00bb, Computer Science and New Technologies – CSNT\u20192025. 180-185. D\u00e9cembre 2025. Mostaganem.<\/li>\n
            • Mohamed Abbassa, Moulay Driss Mechaoui, Mohamed Moussa and Karim Sehaba. Intelligent Aquaculture: A Survey on AI and IoT Technologies for Enhanced Productivity and Sustainability. Computer Science and New Technologies – CSNT\u20192025 . 186-191. D\u00e9cembre 2025. Mostaganem.<\/li>\n
            • Amira Dedour, Karim Sehaba and Moulay Driss Mechaoui. AI and machine learning for smart aquaculture: Towards intelligent water and energy management. Computer Science and New Technologies – CSNT\u20192025. 192-197. D\u00e9cembre 2025. Mostaganem.<\/li>\n
            • Ikhlas ZEBLAH and Karim SEHABA. Collaboration Measurement for Educational Recommenders. Computer Science and New Technologies – CSNT\u20192025. 210-215. D\u00e9cembre 2025. Mostaganem.<\/li>\n
            • Zeblah Ikhlas, Sehaba Karim and Hocine Nadia. Recommendation Systems in Collaborative Learning Environment: PRISMA. Computer Science and New Technologies . 9-14. D\u00e9cembre 2025. Mostaganem.<\/li>\n
            • Kaouther Soltani, Nadia Hocine and Karim Sehaba. Adaptive dashboards for computer-supported collaborative learning: A systematic literature review using PRISMA. Computer Science and New Technologies. 87-94. D\u00e9cembre 2025. Mostaganem.<\/li>\n
            • Linda Benachenhou and Karim Sehaba. Evaluation criteria for Explainable Machine Learning: A proposal in the context of Learning Analytics. Computer Science and New Technologies – CSNT\u20192025. 12-19. D\u00e9cembre 2025. Mostaganem.<\/li>\n
            • Abdellah Medles and Karim Sehaba. A Systematic Review on Multimodal AI Platforms for Medical Education. Computer Science and New Technologies – CSNT\u20192025. 63-70. D\u00e9cembre 2025. Mostaganem.<\/li>\n
            • Yakoub Abdallah Ouardi, Bochra Triqui Kaid Slimane and Mohammed Habib Zahmani, \u00ab Swarm Intelligence and Machine Learning for the Automatic Classification of Cardiac Arrhythmias \u00bb, MISC’2022.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"

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