A Comparative Study of the Modeling Techniques and Models of a Learner Model in Adaptive Hypermedia Educational Systems

The Architecture of Adaptive Hyeprmedia Educational Systems

In general, the architecture of Adaptive Hypermedia Educational Systems (AEHS) comprises two layers: the storage and implementation layer.

The storage layer is the main engine that controls adaptive process whose main tasks are:

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  Initialization and update of the learner model

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  The choice of the domain model concepts, learning resources by applying specific rules.

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  Storing the learning resources, domain ontologies, the model of the learner, etc.

The execution Layer is responsible for the presentation of the adaptive learning material to the user and the observation of the user’s actions so as to update the learner model.

Figure 1 represents the architecture of AHES (Henze & Nejdl, 2004), the storage layer in this architecture has four models:

Figure 1.

The architecture of Adaptive Hypermedia Educational systems

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  Domain model structure of knowledge domain which is often referred to as a graph. Several researchers intend to build the domain model by using ontologies.

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  Media Model contains learning resources and associated descriptive information (metadata).

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  Adaptation model is the main component that gives effect to adaptation. It contains content and concepts selection rules. By applying these rules in content selection, it helps us choose the appropriate educational resources from the internal model. On the other hand, the concept selection rules are used to select the appropriate notions of the domain model. These rules must comply with a user model so that the selection becomes correct.

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  User Model contains information and data about the user.