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- W2264156746 abstract "Lately, computer-assisted learning has become one of the most dynamic fields of multi-disciplinary research. The major issues studied in this field have been the development of systems focusing on acquiring skills; while in the beginning, such systems were not quite adequate to the learner's profile and did not provide guidance in decision making throughout the learning cycle, they are now becoming increasingly intelligent, with more and more powerful pedagogical capacities. The emergence of new information and communication technologies (NICT) and especially of artificial intelligence technologies has revolutionized thinking in this respect for several reasons: firstly, ICT can be used to disseminate knowledge on a wide scale; secondly, courses can be selected tacking into account the behavior of the learner, her expectations and her preferences. Therefore, hypermedia systems are now new ways of reading and accessing information. The courses are no longer progressive accumulation on a linear, predetermined and unique scale of knowledge, entirely standardized for all the prospective users; instead they can now be adapted to specific profiles of potential learners. In the literature of the field there are three categories of such systems: classical hypermedia, adaptive hypermedia and dynamic adaptive hypermedia. Our study aims to present the conceptual model of a dynamic adaptive hypermedia system, which has been developed within the research project called Studies on advanced modeling of tutorial systems in virtual educational environments." @default.
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- W2264156746 date "2009-12-14" @default.
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- W2264156746 title "Advanced architectures for adaptive hypermedia in interactive learning environments" @default.
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