Abstract
The paper decribes a system architecture for CBT-applications that includes artificial neural networks (ANNs) for dynamically creating user-specific paths through a database of multimedia objects. The organisation of these objects is based on principles of hypersystems. Additionally a semantic data model is involved to describe the objects’ characteristics. The ANNs represent experiences and decisions of former users, based on the object’s characteristics. During a CBT-session, the ANNs are used by a run-time controller in order to retrieve objects, which are appropriate candidates for continuing the lesson, from the semantic data model.
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© 1995 Springer-Verlag/Wien
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Langer, K., Bodendorf, F. (1995). Flexible User-Guidance in Multimedia CBT-Applications Using Artificial Neural Networks. In: Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7535-4_82
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DOI: https://doi.org/10.1007/978-3-7091-7535-4_82
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82692-8
Online ISBN: 978-3-7091-7535-4
eBook Packages: Springer Book Archive