LORNET

Portals and Services for Knowledge Management and Learning on the Semantic Web

Tuesday, November 21, 2017 ExtraLORNET  •   français
   
 

I2LOR-2005 Proceedings

Wednesday November 16 2005

 

PDF Document

Opening Welcome
Dr. Tom Calvert, LORNET SFU Research Leader and Dr. Griff Richards, LORNET SFU researcher
Mr. Malcolm Roberts, Director, Bank of Montreal Institute for Learning

   

PowerPoint Presentation

Keynote Speaker
Dr. Rob Koper, Professor of Educational Technology, Open University of the Netherlands

 

Coffee break

LORNET Results

Theme 1: Interoperability of Learning Object Repositories and Ontology Referencing

Focusing on interoperability, the projects in this theme explore different aspects of how systems and people build and exchange knowledge together. Grounded in both computational and educational theory prototype systems are developed and evaluated.

   

PowerPoint Presentation

Interoperability of Learning Object Repositories and Ontology Referencing
Tom Calvert

   

PowerPoint Presentation - 3.34 mb

Technical and Conceptual Issues in Distributed Sharing
Marek Hatala

   

PowerPoint Presentation - 2.58 mb

Ontology-based Communication Tools
Rob Woodbury and Tom Calvert

   

PowerPoint Presentation - 2.58 mb

Ontological Frameworks for Sustainable Learning
Vive Kumar

 

Theme 2: Learning Design and Multi-actor Scenario Support

Learning object design and aggregation is an important educational goal. Small modular learning objects have nice software properties, but they tend to decompose knowledge into non-significant pieces in a factory-like fashion. Furthermore, the information resources must be related to the operations and the persons enacting them. Learning objects need to be integrated into larger wholes that make sense to their users. The five (5) integrated sub-projects of Theme 2 will present research progress.

   

PowerPoint Presentation

Lornet 2.3: Actor, competencies, semantic referencing and self-assessment
P.I: Gilbert Paquette, Richard Hotte
Researcher: Olga Marino, Diane Ruelland PhD
Students: Anne Brisebois, Julien Contamines, Lucie Moulet et Délia Rogozan

   

PowerPoint Presentation

Learning Object design and aggregation
Theme Leader: Gilbert Paquette, Canada Research Chair
Principal Investigators: Aude Dufresne,Olga Marino, Richard Hotte, Hamadou Saliah
Other Researcher: Karin Lundgren-Cayrol, Ileana de la Teja, Diane Ruelland, Michel Leonard

   
 

Panel: Paradigms of Research

Research on eLearning systems brings together educators and computer scientists, two groups with different professional preparation, priorities and paradigms of research. The ultimate exploitation and adoption of their research advances may be dependant upon pragmatic factors of an administrative or economic nature. Leading researchers will share the predominant paradigms of research in their field, and discuss barriers to adoption of eLearning systems.

Panellists: Terry Anderson, Doug MacLeod, Rob Koper, Ralf Steinmetz, Griff Richards

 

Coffee break

LORNET Results

Theme 3 : Active and Adaptive Learning Objects

The prime objective of this research theme is to make learning objects actively able to adapt to the context of their use. The learning object is raw material that ideally can be used in different ways, for different purposes, and in different contexts. This notion of repurposing is fundamental to the concept of learning object repositories, but it is not easily achieved. Until now content specialists must manually adapt and reconfigure learning objects to meet new purposes. This is a time consuming task and a serious bottleneck. While current technologies do not support automation of this task, innovations through this theme are focusing on the issue of computer support to learning object adaptation and repurposing.

   

PowerPoint Presentation

Active and Adaptive Learning Objects
Jim Greer, Gord McCalla, Ralph Deters, Julita Vassileva, and John Cooke

 

Theme 4 : Learning Objects Data Mining and Knowledge Extraction

In this presentation we start by an overview of the objectives of knowledge and data mining for learning objects and the projects of this theme to achieve these objectives. Progress and results achieved so far in phrase extraction, semantic knowledge synthesis, image mining, and reinforcement learning will be discussed.

   

PowerPoint Presentation

Knowledge Extraction and Learning Object Mining
PI’s: O. Basir, M. Kamel (TL), F. Karray, (E&CE) H. Tizhoosh, (SDE)
Assoc.Res C. DiMarco (CS)
PDS: Y.Wang and A. Wong
Vestec: J. Sun

   

PowerPoint Presentation

Reinforced E-Learning applications - State of The Art
M.Shokri, A.Mooman, O.Basir, M.Kamel, H.R.Tizhoosh

   
   

PowerPoint Presentation

Project 4.5: IMAGE MINING
Otman A. Basir

   

PowerPoint Presentation

Semantic Knowledge Synthesis from Text
Otman A. Basir

 
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