engleski

Identification and Analysis of Characteristics of Intelligent and Adaptive Hypermedia E- learning Systems

The main aim of this research is to identify and analyse the characteristics of intelligent and adaptive hypermedia e-learning systems (IAHe-LS) by examining published scientific papers indexed in relevant databases. Most of the papers were published during 2011 and 2012. From 1170 analysed papers, 61 systems were identified. The description of system architecture was used as the selection criterion, which yielded 21 characteristics used to describe the systems, namely: learning style, cognitive style, adaptivity inference mechanism, granularity of learning content, pedagogical model, domain knowledge model, learner activity tracking, knowledge testing, testing previously acquired knowledge, experimental use, form of presented content, adaptivity criteria, standardisation, system interface model, teacher model, description model, and interactive tools. In this paper, special attention is given to adaptivity inference mechanism and adaptivity criteria characteristics.

adaptive hypermedia e-learning systems ; intelligent e-learning systems ; e-learning systems ; individual personalisation ; inference mechanism ; adaptivity criteria characteristics.

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