Adaptive interfaces and agents
The human-computer interaction handbook
IMS Learning Design Support for the Formalization of Collaborative Learning Patterns
ICALT '04 Proceedings of the IEEE International Conference on Advanced Learning Technologies
CSCL scripts: modelling features and potential use
CSCL '05 Proceedings of th 2005 conference on Computer support for collaborative learning: learning 2005: the next 10 years!
Developing a Learning Management System Based on the IMS Learning Design Specification
ICALT '06 Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies
A Supporting Architecture for Generic Service Integration in IMS Learning Design
EC-TEL '08 Proceedings of the 3rd European conference on Technology Enhanced Learning: Times of Convergence: Technologies Across Learning Contexts
Adapting Process-Oriented Learning Design to Group Characteristics
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Exploring foundations for computer-supported collaborative learning
CSCL '02 Proceedings of the Conference on Computer Support for Collaborative Learning: Foundations for a CSCL Community
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The IMS Learning Design specification is acknowledged as the most promising option available presently for the implementation of collaboration scripts in e-learning. Nevertheless, it has been criticized for a number of shortcomings, and, specifically for its lack of support for constructs that would enable comprehensive adaptive support to be effected over the collaborative learning process. In this paper we propose concrete extensions to the specification, which build upon prior work and address a wide range of problems and omissions. The most important modifications introduced include: explicit support for groups, and run-time member assignment; addition of a run-time model; introduction of concrete artefacts; introduction of an event-handling model; and, a modified sequencing and script organization model.