Conlan, O., Wade, V., Bruen, C., Gargan, M. ‘Multi-model, metadata driven approach to adaptive hypermedia services for personalized eLearning’ in Proceedings of Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems , Malaga, Spain, May 2002
One of the major obstacles in developing quality eLearning content is
the substantial development costs involved and development time required .
Educational providers, such as those in the university sector and corporate
learning, are under increasing pressure to enhance the pedagogical quality and
technical richness of their course offerings while at the same time achieving
improved return on investment. One means of enhancing the educational impact
of eLearning courses, while still optimizing the return on investment, is to
facilitate the personalization and repurposing of learning objects across multiple
related courses. However, eLearning courses typically differ strongly in ethos,
learning goals and pedagogical approach whilst learners, even within the same
course, may have different personal learning goals, motivations, prior
knowledge and learning style preferences. This paper proposes an innovative
multi-model approach to the dynamic composition and delivery of personalized
learning utilizing reusable learning objects. The paper describes an adaptive
metadata driven engine that composes, at runtime, tailored educational
experiences across a single content base. This paper presents the theoretical
models, design and implementation of the adaptive hypermedia educational
service. This service is currently being successfully used for the delivery of
undergraduate degree courses in Trinity College, Dublin as well as being used
as part of a major EU research trial.
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