LORNET is a network of expertise grouping over one hundred researchers, research associates and professionals, and graduate students in six universities across Canada.
Our university is team is responsible for Theme 3 of LORNET. It involves researchers from both the ARIES and MADMUC labs.

Theme Leaders:

• Gordon McCalla and Jim Greer

Principal Investigators:

• John Cooke, Ralph Deters, Jim Greer, Gordon McCalla , Julita Vassileva

Technical/Professional:

• Christopher Brooks, Mike Winter
  

Graduate Students:

Indratmo (PhD) Dmytro Dyachuk (PhD) Pinata Winoto (PhD), Olayide Olorunleke (PhD), Tiffany Tang (PhD), Ben Daniel (PhD), Yao Wang (PhD),

Andrew Webster (MSc.) Xin Liu (MSc.) Xiaolin Niu (MSc), Jian Liu (MSc), Tian Yang (MSc), Collene Hansen (MSc), Golha Sharifi (MSc), Julian Day (MSc), Kamal Elbashir (MSc), Peng Xu (MSc)

Our Theme's Vision

• To make learning objects active (not just inert content).
• To make learning objects adaptive to learners.
• To make learning objects adaptive to other learning objects.

Research Areas

• Agent-based learning objects.
• Active learner modelling.
• Context integration in learner modelling.
• Learning object repurposing.
• Instructional planning with learning objects.
• Negotiated coalition formation among autonomous agents to meet context-specific learning goals.

Press release

• UofS Campus News (Thursday, Oct. 16th/2003 )