1. My Canada Griff Gilbert Montréal -8 hours 4.5 hours to fly 56 hours to drive To Vancouver

2. Come visit Montréal - LORNET Conference - 14-17 November, 2006 www.lornet.org

3. IDLD – Towards a Repository of Reusable Instructional Designs Gilbert Paquette Gilbert Paquette Chaire de recherche en ingénierie cognitive et éducative (CICE) Centre de recherche LICEF, Téluq-UQAM TELCERT Workshop, Sofia, Bulgaria, March 31, 2006

4. ID Work at the LICEF Research Centre MOT plus 1998-1999 MOT 2.0 1995-1997 MOT+LD 2003-2004 AGD 1992-1995 MISA 3.0 MISA 2.0 1995-1997 MISA 4.0 MISA LD MISA Templates1997-1998 ADISA 1999-2002 IDLD Portal2005-2006

5. The IDLD Portal www.idld.org

6. IMS-LD Specification – A bridge between instructional methodology and LCMS platforms Learning System IMS-LD (SCORM+) Plan and Models Resources (Objects) Environ- ments LOM Instructional Engineering ID Methods And Tools Delivery LCMSs, Platforms Portals

7. Learning Design Descriptions Narrative Narrative Descriptive Forms Descriptive Forms UML Representation UML Representation MOT/MISA Representation MOT/MISA Representation MOT+ XML-Schemas MOT+ XML-Schemas MOT+LD Representation MOT+LD Representation LD XML-Schema (Manifest) LD XML-Schema (Manifest)

8. MOT+LD Graphic Language (Level A - Method) Staff R Learner R Learning Objectives Prerequisite I I Indexed search eMail Conference Learning Object Outcome Environment C C CI/P CC External Unit of Learning Method Play Act Support Activity Learning Activity Structure C C C C C C

9. MOT+LD Graphic Language – Itemization and Metadata Item (URI) Learning Object Activity Structure Conference eMailSupport Activity Staff Learning Activity Learner I I I I I I I I Metadata A A A A

10. Leaning Design as Resources Resources Tools Documents Media Elements Actors Units of Learning Operations Designs

11. In a Global Network of Repositories MERLOT EDNA ARIADNE LORNET NIME

12. Using the LOM to Metatag LDs in the IDLD Repository Granularity (LOM 1.8) Granularity (LOM 1.8) –Resources, Basic UoL (Nuggets), Courses, Programs Relations (LOM 7.0) Relations (LOM 7.0) –Between Aggregates and Component Nuggets; –Between Representation Formats –Between Examplars and Patterns (Templates) Classifications (LOM 9.0) Classifications (LOM 9.0) –Learning Design Typology (From MISA and CETIS) –Cognitive Strategy Typology (Bloom Extension)

13. Classification des scénarios

14. Metatagging LDs

15. Search and Access to LDs

16. Reusability Process Modeling a Course and Generalizing to a Pattern (Instructional Strategy Level) Modeling a Course and Generalizing to a Pattern (Instructional Strategy Level) Decomposing into Nuggets or Direct Creation (Instructional Tactic Level) Decomposing into Nuggets or Direct Creation (Instructional Tactic Level) Recomposition of a Course Pattern from Nuggets (New Strategy) Recomposition of a Course Pattern from Nuggets (New Strategy) Specification of Course Pattern to one or more Course Examplar Specification of Course Pattern to one or more Course Examplar

17. Step 1 – Course Pattern

18. Step 2 – Course Pattern Decompostion into Nuggets

19. Step 3 - Recomposition of a new Course Pattern

20. Conclusion: Graphical Representation and Use of the LOM Graphic Representation Graphic Representation –Provide a Global View of an LD –Facilitate LD Construction and Reuse (Patterns, Decomposition, Recomposition, Specification) –Produice a standard LD XML manifest –Can be read in RELOAD for levels B and C Using the LOM to Reference LDs Using the LOM to Reference LDs –Search in a Global Reporitories Network –Navigation between related LDs

21. Conclusions: LD Deployment Building Graphic LD was easy for the four teams involved in the IDLD project, but not necessarily for the average professor Building Graphic LD was easy for the four teams involved in the IDLD project, but not necessarily for the average professor Extend the set of Graphic Learning Designs linked to Narratives and other representations Extend the set of Graphic Learning Designs linked to Narratives and other representations Simplify the Graphic Language by building a more intelligent parser for the production of the IMS-LD manifest and its validation Simplify the Graphic Language by building a more intelligent parser for the production of the IMS-LD manifest and its validation A promissing approach: to simplify and improve the design process by giving access to alternative high quality LD solutions A promissing approach: to simplify and improve the design process by giving access to alternative high quality LD solutions A Invitation to Link your LDs With OURS

22. IDLD – Towards a Repostiroy of Reusable Instructional Designs Gilbert Paquette Gilbert Paquette Chaire de recherche en ingénierie cognitive et éducative (CICE) Centre de recherche LICEF, Téluq-UQAM TELCERT Workshop, Sofia, Bulgaris, March 31, 2006 www.idld.org www.licef.teluq.uquebec.ca/gp