1. IMS Learning Impact 2008 Austin, Texas May 14th, 2008 The TELOS System Gilbert Paquette, LORNET Scientific Director François Magnan, TELOS System Architect Suzanne Lapointe, Technology Transfer Officer LICEF Research Center, Télé-université www.licef.teluq.uquebec.ca/gp

2. Télé-université A higher institution for education and research A higher institution for education and research A multimedia editor of learning resources A multimedia editor of learning resources A broadcaster of over 350 courses to support learners wherever they are A broadcaster of over 350 courses to support learners wherever they are LICEF, the research center LICEF, the research center Cogigraph (TCI), the transfer spin-off Cogigraph (TCI), the transfer spin-off

3. Our Bookmarks 92-95 First HyperGuide MISA IE method MOT graphic modeling editor 95-98 HyperGuide-Recto (FAI) and TL-NCE projects Explor@ - 1 LCMS 99-02 Explor@-1 Deployment; MOT+ extension Explor@-2, eduSource: LOM and DRI 03-0603-08 Modularization and open software: PALOMA, MOT+LD, MOT+OWL CONCEPT@: TELUQ virtual campus LORNET Network, towards TELOS

4. The Concept@ LCMS

5. MOT and MOT+ Knowledge Editors

6. Compétences +

7. GLOBE – PALOMA Learning Object Respository Manager

8. Learning Design Portal www.idld.org IMS-LD scenarios referential IMS-LD scenarios referential Suite of Tools Suite of Tools Methodological Aids Methodological Aids Documentation Documentation

9. Quality for Reuse

10. Internet Generations Increasing Social Networking Increasing Knowledge Networking 2 Social Web 1 Information Web 4 Intelligent Web 3 Semantic Web K S

11. 1. Inter -operability 2. Multi-actor Design 5. Advanced Multimedia 4. Knowledge Extraction 3. Adaptive Resources 6. TELOS The LORNET Research Network Pan-canadian Research Network 6 Universities, 4 Research Chairs, 15 entreprises 5 years, 7.5 M $, 120 researchers and grad students New Knowledge New Knowledge on Web 3.0 60 Innovative 60 Innovative prototype tools Design and Construction of Design and Construction ofTELOS Achievements

12. TELOS Cascade of Use Cases

13. TELOS High-Level Ontology

14. TELOS SOA Framework Ressource Manager (LOM/DRI) Ressource Manager (LOM/DRI) Task Manager Task Manager Scenario Editor (IMS-LD/BPMN) Scenario Editor (IMS-LD/BPMN) Ontology Editor (OWL) Ontology Editor (OWL)

15. TELOS Interface

16. Resource Manager

17. Scenario Editor

18. Task Manager

19. Designers Building IMS-LD Scenarios

20. IMS-LD Level B Execution

21. IMS-LD Services U U U U U U U U

22. Two-Way Semantic Referencing Any kind of resource can be an instance in more than one ontology Any kind of resource can be an instance in more than one ontology –The technical ontology tells TELOS how to execute the resource –A domain ontology tells a search engine what knowledge and competency is own by the ressource

23. Domain Ontology Referencing

24. Engineer Constructing an Aggregated Search Operation

25. Execution Semantic

26. Technologist Upgrading a Platform for Distance Education

27. ROI and Learning Impact (compare to traditional LCMS) Global Systemic View Global Systemic View Extended and flexible set of actors Extended and flexible set of actors Multi-actor process coordination Multi-actor process coordination Visual scenarios and workflows Visual scenarios and workflows Flexible and adaptable environments (through ontology extension) Flexible and adaptable environments (through ontology extension) Multi-technology interoperability Multi-technology interoperability IMS-LD and OWL modeling for all IMS-LD and OWL modeling for all Simple and Powerful Visual Language Simple and Powerful Visual Language Reduced Time an Effort Reduced Time an Effort Focus on learning Focus on learning

28. ROI and Learning Impact (Compare to form-based IMS-LD) Visual representation and execution at level B and C for personalization Visual representation and execution at level B and C for personalization Extension of the types of conditions and multiple activities from BPMN Extension of the types of conditions and multiple activities from BPMN Visual representation of services Visual representation of services More transparent visual representation of learning scenarios More transparent visual representation of learning scenarios Embedded Metadata referencing by ontologies (including the LOM) Embedded Metadata referencing by ontologies (including the LOM) Simple and Powerful Visual Language can make possible the dissemination of IMS-LD Simple and Powerful Visual Language can make possible the dissemination of IMS-LD

29. IMS Learning Impact 2008 Austin, Texas May 14th, 2008 Merci! Gilbert Paquette, LORNET Scientific Director François Magnan, TELOS System Architect Suzanne Lapointe, Technology Transfer Officer LICEF Research Center, Télé-université www.licef.teluq.uquebec.ca/gp