LORNETLORNET Learning Object Repositories NetworkLearning Object Repositories Network __________________________________________________________________

An An NSERCNSERCResearch NetworkResearch Network

I2lor-07 Conference, Montreal, November 5, 2007

1. Inter-operability

2. Multi-actor

Design

5. Advance

dMultimed

ia 4. Knowled

geExtractio

n

3. Adaptive

Resources

6. TELOS

LORNETLORNETPan-canadian Research Network6 Universities, 4 Research Chairs, 15

entreprises5 years, 7.5 M $, 120 investigators

Develop tools andmethods to build personalized access to learning object repositoriesthrough the Semantic Web for learning and Knowledge Management

LORNET Network GovernanceLORNET Network Governance

Board of Directors

InternationalAdvisory Scientific

Committee

Theme 1 Theme 2 Theme 3 Theme 4 Theme 5 Theme 6

Partners Advisory

Committee

NetworkManagement

Research ManagementCommittee

LORNET Theme LeadersLORNET Theme Leaders

Télé-université in Montreal and and LICEF-CIRTA is host of is host of the network - the network - Dr. Gilbert PaquetteDr. Gilbert Paquette, , Canada Research Chair in Canada Research Chair in Cognitive Engineering of Telelearning Systems Cognitive Engineering of Telelearning Systems

  Simon Fraser University,, Dr. Marek Hatala and Dr Griff Dr. Marek Hatala and Dr Griff

RichardsRichardsDirector of Laboratory for Ontological Research Director of Laboratory for Ontological Research

  University of Saskatchewan – – Dr. Jim Greer and Dr. Gordon Dr. Jim Greer and Dr. Gordon

McCallaMcCalla, , Co-directors of the ARIES LaboratoryCo-directors of the ARIES Laboratory

University of Waterloo - - Dr. Mohamed KamelDr. Mohamed Kamel, , CanadaCanada Research Chair in Cooperative Intelligent Systems and Director Research Chair in Cooperative Intelligent Systems and Director of the PAMI laboratory, of the PAMI laboratory,

  University of Ottawa - - Dr. Nicolas D. Georganas and Dr Abed Dr. Nicolas D. Georganas and Dr Abed

El SaddikEl SaddikCanada Research Chair in Information Technology and Director Canada Research Chair in Information Technology and Director of the Discover laboratory,of the Discover laboratory,

École Polytechnique de Montréal - - Dr. Samuel PierreDr. Samuel Pierre, , NSERC/Ericsson Industrial Chair in Next Generations Mobile NSERC/Ericsson Industrial Chair in Next Generations Mobile Networking Systems and Director of the LARIM laboratory, Networking Systems and Director of the LARIM laboratory,

LORNET PartnersLORNET Partners

EFPC/CSPS

Statistics 2006 - 2007Profes-sionals

Princ.Invest.

Graduate Students Total Partner

Org.Papers

Referee Others

Theme 6

Proto-types

6 147 28 5 18

Theme 1 35 17 25 6 60

Theme 2 55 14 24 5 31

Theme 3 05 16 21 3 36

Theme 4 6 14 20 3 49

Theme 5 25 19 26 5 15

16

10

14

160

40

27

9

16

6

11

5

7

32 24 143 27 209Total 87 123 54

LORNET’s HighlightsLORNET’s Highlights

Publications: Publications: – 199 up to 209+123 = 199 up to 209+123 = 332332

Grad Students: Grad Students: – 3 students / PI3 students / PI

Research Convergence: Research Convergence: – Integrative projectsIntegrative projects

SoftwareSoftware– 54 prototypes 54 prototypes

PartnershipPartnership– Increased investments; joint projectsIncreased investments; joint projects

NetworkingNetworking– Kaleidoscope, Prolearn, TenCompetence, Kaleidoscope, Prolearn, TenCompetence,

GLOBEGLOBE

LORNET Results (4 years)LORNET Results (4 years)

1.1. New KnowledgeNew Knowledge• Around 1000 publicationsAround 1000 publications• Over 150 Graduate StudentsOver 150 Graduate Students

2.2. Innovative Tools and MethodsInnovative Tools and Methods• Over 60 software prototypesOver 60 software prototypes• Method documentationMethod documentation

3.3. Design and Construction of TELOSDesign and Construction of TELOS• From LCMSs to Web-based learning portals. From LCMSs to Web-based learning portals. • One level up: aggregating custom-made One level up: aggregating custom-made

platforms. platforms. • Service-oriented frameworks Service-oriented frameworks • Model-driven and ontology-driven architectures.Model-driven and ontology-driven architectures.• Multi-actor learning designs and workflowsMulti-actor learning designs and workflows