Authoring Courses with Rich Adaptive Sequencing for IMS Learning Design
Sergio Gutierrez-Santos (London Knowledge Lab, Birkbeck College, United Kingdom)
Abelardo Pardo (Carlos III University of Madrid, Spain)
Carlos Delgado Kloos (Carlos III University of Madrid, Spain)
Abstract: This paper describes the process of translating an adaptive sequencing strategy designed using Sequencing Graphs to the semantics of IMS Learning Design. The relevance of this contribution is twofold. First, it combines the expressive power and flexibility of Sequencing Graphs, and the interoperability capabilities of IMS. Second, it shows some important limitations of IMS specifications (focusing on Learning Design) for the sequencing of learning activities.
Keywords: IMS Learning Design, sequencing, sequencing graph, translation
Categories: L.2.0, L.2.1, L.3.5