Taking advantage of the Semantics of a Lesson Graph based on Learning Objects

Authors:
Olivier Motelet;Nelson Baloian;Benjamin Piwowarski;José A. Pino
Affiliations:
Universidad de Chile;Universidad de Chile;Yahoo! Research Latin America;Universidad de Chile
Venue:
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Year:
2007

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Abstract

Lesson graphs are composed of Learning Objects (LOs) and include a valuable amount of information about the content and usage of the LOs, described by the LO metadata. Graphs also make explicit the links between the LOs (i.e. the graph semantics). This article proposes a conceptual model for taking advantage of this information. This model is based on an original diffusion process that copes with the problem of lesson graphs where some metadatas are missing. Two applications of the model are described and were implemented over a previously developed lesson authoring tool whose goal is to facilitate the lesson authoring process.