October 2003
U of Waterloo leads research on web learning
A University of Waterloo research team has received $1.14 million in Natural Sciences and Engineering Research Council (NSERC) funding over the next five years to develop tools for treating effective training courses and programs on the Internet.
The funding is from $7.5 million allocated to the new Lornet -- Learning Object Repositories Network, which involves researchers from six campuses, including the University of Ottawa, Université du Quebec's Tele-Université, Simon Fraser University, the University of Saskatchewan, Ecole Polytechnique de Montreal and the University of Waterloo.
More than 30 partners from the public and private sectors will contribute close to $1 million to the project. They will also provide expertise and resources to ensure that the research results are disseminated widely. The network plans to train some 40 graduate students and six postdoctoral fellows each year.
At UW, Prof. Mohamed Kamel, of the University of Waterloo systems design engineering department, also Canada Research Chair in Cooperative Intelligent Systems, will lead a team to conduct work on knowledge extraction and learning object mining.
The Pattern Analysis and Machine Intelligence group, which includes Otman Basir, Fakhri Karray and Hamid Tizhoosh, will carry out the research.
"The main goal of Lornet is to build new knowledge in computer and cognitive science to help design and develop the architectures, the tools and the methods in a network of learning objects repositories to maximize its usefulness and efficiency for education and training on the Web," Kamel said.
For more information, visit http://pami.uwaterloo.ca/kamel.html.
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