Papasalouros, A., Retalis, S., & Papaspyrou, N. (2004). Semantic Description of Educational Adaptive Hypermedia based on a Conceptual Model. Educational Technology & Society, 7 (4), 129-142


Semantic Description of Educational Adaptive Hypermedia based on a Conceptual Model

Andreas Papasalouros

National Technical University of Athens School of Electrical and Computer Engineering Software Engineering Laboratory Polytechnioupoli, 157 80 Zografou Athens, Greece Tel: +30 210 772 2487 Fax: +30 210 772 2519, andpapas@softlab.ntua.gr

 

Symeon Retalis

University of Piraeus Department of Technology Education and Digital Systems 80 Karaoli & Dimitriou 185 34 Piraeus, Greece Tel: +30 210 414 2765 Fax: +30 210 414 2753, retal@unipi.gr

 

Nikolaos Papaspyrou

National Technical University of Athens School of Electrical and Computer Engineering Software Engineering Laboratory Polytechnioupoli, 157 80 Zografou Athens, Greece, nickie@softlab.ntua.gr

 

ABSTRACT: The role of conceptual modeling in Educational Adaptive Hypermedia Applications (EAHA) is especially important. A conceptual model of an educational application depicts the instruc-tional solution that is implemented, containing information about concepts that must be ac-quired by learners, tasks in which learners must be involved and resources that will be used. The importance of such a model is multifold. It formally depicts the outcomes of instructional analysis, drives the development of actual applications and provides the information basis for automatic application generation in the context of Adaptive and Intelligent Tutoring Systems. In this paper we begin by describing a method for designing EAHA. Our method uses UML as the modeling language and defines the design process in three distinct steps. We propose an RDF encoding of the Conceptual Model, which is the outcome of the first step, following a specific RDF schema that is appropriate for such applications. This encoding can be obtained automatically and, in this way, a machine processable semantic description of the EAHA becomes available, as an outcome of the design process. In the resulting RDF-encoded Concep-tual Model, we define rules of adaptation using the existing language RuleML

Keywords: Adaptive hypermedia, hypermedia design, conceptual modeling, semantic web, RDF

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