Ontological representation models for adaptive hypermedia construction

International Review on Computers and Software

Volumn 6, Issue 2, 2011, Pages 199-205

  Behaz, Amel ^a   Djoudi, Mahieddine ^b  

^a UNIVERSITY OF BATNA   (Algeria)

^b Centre National de la Recherche Scientifique   (France)

Author keywords

Adaptive Hypermedia; Knowledge Engineering; Learner Modeling; MBTI; Ontology; Semantic Web

Indexed keywords

ADAPTIVE HYPERMEDIA; COGNITIVE THEORY; LEARNER MODELING; LEARNER ONTOLOGIES; LEARNING STYLE; MBTI; MYERS-BRIGGS TYPE INDICATORS; ONTOLOGICAL REPRESENTATION; PERSONALIZED CONTENT; SYSTEM CAPACITY;

HYPERMEDIA SYSTEMS; KNOWLEDGE ENGINEERING; SEMANTIC WEB;

ONTOLOGY;

EID: 81255128321     PISSN: 18286003     EISSN: 18286011     Source Type: Journal    
DOI: None     Document Type: Article

References (24)

1. Blackboard (visited on date 2008). Available at: http://www.blackboard.com
2. Moodle (visited on date 2008). Available at: http://moodle.org
3. ATutor. (visited on date 2008) Available at: http://www.atutor.ca
4. Hernandez N., Mothe J., Ralalason B., Ramamonjisoa B., Stolf P., A Model to Represent the Facets of Learning Objects. Interdisciplinary Journal of Knowledge and Learning Objects, Informing Science Institute, Volume 4, Santa Rosa-USA, 2008.
5. Corby Querying the Semantic Web with the Corese conception & development search Engine, proceeding of European Conference on Artificial Intelligence ECAI, 2004.
6. Duitama F., Defude B., Bouzeghoub A., and Carpentier C. A framework for the generation of adaptive courses based on semantic metadata, Multimedia Tools and Applications, 2005.
7. Abi Chahine C., Kotowicz J-P., Chaignaud N., Pécuchet J-P., Conception d'un outil d'aide à l'indexation de ressources pédagogiques: EIAH09 Environnements Informatiques pour l'Apprentissage Humain, Le Mans 2009.
8. Paule Ruiz M. P., Fernández Díaz M. J., Ortín Sole F., Pérez J. R. Adaptation in Current E-Learning Systems, Computer Standards & Interfaces, Elsevier, vol. 30, issue 1-2, pp 62-70, 2008.
9. Myers, I. Guide to the Development and Use of the Myers-Briggs Type Indicator. CPP, Inc, 3rd edition, 1998.
10. Carolyn, S., & et al., Myers Briggs Type Preferences in Distance Learning Education. International Journal of Educational Technology, 2(2) 2001.
11. De Bra P., Nejdl W. Adaptive Hypermedia and Adaptive Web- Based Systems, Third International Conference, AH, Eindhoven, the Netherlands, 2004.
12. Brusilovsky P., Nejdl W., Adaptive hypermedia and Adaptive Web, In: M. P. Singh (ed.) Practical Handbook of Internet Computing. Baton Rouge: Chapman Hall & CRC Press, pp. 1.1-1.14, 2005.
13. rd. International conference on Technology, Knowledge and society. Cambridge University 2007.
14. Sigala M. Integrating Web 2.0 in E-Learning Environments: A Socio-Technical Approach. International Journal of Knowledge and Learning, Vol. 3, No. 6, pp. 628-648, 2008.
15. Brusilovsky P., Millan E. User models for adaptive hypermedia and adaptive educational system. In the adaptive web, LNCS 4321 pp 3-53, 2007.
16. IMS Global Learning Consortium (visited on date 2008). Available at: http://imsglobal.org
17. Papi (visited on date 2008) Papi learner, draft 8 specification. Available at: http://edutool.com/papi
18. Woukeu A., Wills G., Conole G., Carr L., Kampa S., and Hall W. Ontological hypermedia in education: A framework for building web-based educational portals. Proceedings of ED-MEDIA, 2003.
19. Stash N, Cristea A, and Paul De Bra.Explicit intelligence in adaptive hypermedia: Generic adaptation languages for learning preferences and styles. International Workshop on Combining Intelligent and Adaptive Hypermedia Methods/Techniques in Web-based Education Systems, 2005.
20. Razmerita, L.User modeling and personalization of the Knowledge Management Systems, Chapter Book, in Adaptable and Adaptive Hypermedia 2005, by Idea Group Publishing.
21. Snae C., Brueckner, M., «Ontology-Driven E-Learning System Based on Roles and Activities for the Learning Environment. Interdisciplinary Journal of Knowledge and Learning Objects, Volume 3, 1-17 2007.
22. Zhuhadar L., Nasraoui O., and Wyatt R. Dual representation of the semantic user profile for personalized web search in an evolving domain, in Proceedings of the AAAI Spring Symposium on Social Semantic Web, Where Web 2.0 meets Web 3.0 pp. 84-89, 2009.
23. IEEE LOM (visited on date 2009). Available at: http://ltsc.ieee.org/wg1
24. Djoudi M., (2010). eLEARNING IN ALGERIA: Experiences On E-Learning in Algerian Universities., e-LEARNING Pratices, Cases on Challenges Facing E-Learning and National Development, ISBN 978-975-98, Vol. 1, Anadolu University, Eskisehir-Turkey, 1-31.