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Un système d'apprentissage pervasif intégrant des activités de travail et de formation

Published:28 May 2008Publication History

ABSTRACT

In the p-LearNet project, we are interested in TEL systems integrating context-aware corporate learning and working activities for e-retail (shops and hypermarkets). The main issues of the p-LearNet project are: work-integrated learning and customer learning support whatever the place, the time, the organisational and technological contexts of the individual or collective learning and working processes. We propose an adaptive and context-aware model of scenario for a pervasive learning system. This model enables us to choose how to achieve activities according to the current situation. The scenario model is based on a hierarchical task model having the task/method paradigm - methods define how to achieve a task, a task represents an activity. The context-aware adaptation process selects the relevant methods according to the current situation.

References

  1. Balacheff, N., 10 issues to think about the future of research on TEL. Les Cahiers Leibniz, Kaleidoscope Research Report, 2006(147).]]Google ScholarGoogle Scholar
  2. Lyytinen, K. and Y. Yoo, Issues and challenges in ubiquitous computing. SPECIAL ISSUE: Issues and challenges in ubiquitous computing, 2002. 45(12).]]Google ScholarGoogle Scholar
  3. Hundebol, J. and N. H. Helms, Pervasive e-Learning - In Situ Leaning in Changing Contexts. 2006.]]Google ScholarGoogle Scholar
  4. Sharples, M., Learning As Conversation: Transforming Education in the Mobile Age, in Proceedings of Conference on Seeing, Understanding, Learning in the Mobile Age. 2005: Budapest, Hungary. p. 147--152.]]Google ScholarGoogle Scholar
  5. Siobhan, T. Pervasive Scale: A model of pervasive, ubiquitous, and ambient learning. in An International Workshop on Pervasive Learning, in conjunction with Pervasive 2007. 2007. Toronto, Ontario, Canada.]]Google ScholarGoogle Scholar
  6. Derycke, A., V. Chevrin, and T. Vantroys. P-Learning and e-retail: a case and a flexible Sotware Architecture. in Pervasive Learning 2007, an International Workshop on Pervasive Learning. 2007. Toronta, Ontario, Canada: Cnter for Mobile Computing, Massey University, New Zealand.]]Google ScholarGoogle Scholar
  7. Ogata, H. and Y. Yano, Supporting Knowledge Awareness for a Ubiquitous CSCL, in World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2003, G. Richards, Editor. 2003, AACE: Phoenix, Arizona, USA. p. 2362--2369.]]Google ScholarGoogle Scholar
  8. Brodersen, C., et al., eBag: a ubiquitous Web infrastructure for nomadic learning, in Proceedings of the 14th international conference on World Wide Web. 2005, ACM Press: Chiba, Japan.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Sharples, M., Big Issues in Mobile Learning: Report of a workshop by the Kaleidoscope Network of Excellence Mobile Learning Initiative. 2006, LSRI, University of Nottingham.]]Google ScholarGoogle Scholar
  10. Bomsdorf, B. Adaptation of Learning Spaces: Supporting Ubiquitous Learning in Higher Distance Education. in Mobile Computing and Ambient Intelligence: The Challenge of Multimedia. 2005. Dagstuhl Seminar Proceedings.]]Google ScholarGoogle Scholar
  11. Jones, V. and J. H. Jo. Ubiquitous Learning Environment: an Adaptive Teaching System using Ubiquitous Technology. in ASCILITE. 2004. Perth, Australia.]]Google ScholarGoogle Scholar
  12. Farmer, J., et al. AD-HOC - Work-integrated Technology-supported Teaching and Learning. in 5th conference on Organisational Knowledge, Learning and Capabilities. 2004. Innsbruck, Austria.]]Google ScholarGoogle Scholar
  13. Trichet, F. and P. Tchounikine, DSTM: a Framework to Operationalize and Refine a Problem-Solving Method modeled in terms of Tasks and Methods. International Journal of Expert Systems With Applications, Elsevier Science, 1999. 16: p. 105--120.]]Google ScholarGoogle ScholarCross RefCross Ref
  14. Wielinga, B., et al., The KADS Knowledge Modelling Approach, in Proceedings of the 2nd Japanese Knowledge Acquisition for Knowledge-Based Systems Workshop, R. Mizoguchi and H. Motoda, Editors. 1992: Hitachi, Advanced Research Laboratory, Hatoyama, Saitama, Japan. p. 23--42.]]Google ScholarGoogle Scholar
  15. Willamowski, J., F. Chevenet, and J. M. François, A development shell for cooperative problem-solving environments. Mathematics and computers in simulation, 1994. 36(4--6): p. 361--379.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Ikeda, M., K. Seta, and R. Mizoguchi. Task Ontology Makes It Easier To Use Authoring Tools. in IJCAI. 1997.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Betbeder, M.-L. and P. Tchounikine. Structuring collective activities with tasks and plans. in IEEE International Conference on Advanced Learning Technologies (ICALT'2003). 2003.]]Google ScholarGoogle ScholarCross RefCross Ref
  18. Choquet, C., et al. Modelling Knowledge-Based Components of a Learning Environment within the Task/Method Paradigm. in Intelligent tutoring Systems, ITS'98. 1998. San Antonio (USA).]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Ullrich, C., Course generation based on HTN planning, in Proceedings of 13th annual Workshop of the SIG Adaptivity and User Modeling in Interactive Systems, J. A. and B. B., Editors. 2005. p. 75--79.]]Google ScholarGoogle Scholar
  20. Garlatti, S., S. Iksal, and P. Tanguy, SCARCE: an Adaptive Hypermedia Environment Based on Virtual Documents and Semantic Web, in Adaptable and Adaptive Hypermedia Systems, S. Y. Chen and G. D. Magoulas., Editors. 2004, Idea Group Inc. p. 206--224.]]Google ScholarGoogle Scholar
  21. Delotte, O., B. David, and R. Chalon. Task Modelling for Capillary Collaborative Systems based on Scenarios. in TAMODIA. 2004. Czech Republic: ACM NY, USA]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Scapin, D. L. and E. L.-C. Law, K-MADe: Review, Report and Refine Usability Evaluation Methods (R3 UEMs), in COST294-MAUSE 3rd International Workshop. 2007: Athens.]]Google ScholarGoogle Scholar
  23. Tetchueng, J. L., S. Garlatti, and S. Laubé, A Context-Aware Learning System based on generic scenarios and the theory in didactic anthropology of knowledge. International Journal of Computer Science and Applications, 2008(Special Issue on New Trends on AI Techniques for Educational Technologies): p. To appear.]]Google ScholarGoogle Scholar
  24. Derntl, M. and K. A. Hummel. Modeling Context-Aware E-learning Scenarios. in Pervasive Computing and Communications Workshops, 2005. PerCom 2005 Workshops. Third IEEE International Conference on. 2005.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Kurti, A., et al. Designing and implementing ubuquitous learning activities supported by mobile and positioning technologies. in the Ninth IASTED International Conference computers and Advanced Technology in Education. 2006. Lima, Peru.]]Google ScholarGoogle Scholar
  26. Dourish, P., What we talk about when we talk about context. Personal Ubiquitous Comput., 2004. 8(1): p. 19--30.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Lonsdale, P. and R. Beale, Towards a dynamic process model of context. 2004, To appear in Proceedings of Ubicomp 2004 workshop on Advanced Context Modeling, Reasoning and Manage.]]Google ScholarGoogle Scholar

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    • Published in

      cover image ACM Conferences
      UbiMob '08: Proceedings of the 4th French-speaking conference on Mobility and ubiquity computing
      May 2008
      103 pages
      ISBN:9781595939807
      DOI:10.1145/1376971

      Copyright © 2008 ACM

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      Publication History

      • Published: 28 May 2008

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