The production of resources supporting the needs of Adaptive Hypermedia Systems (AHSs) is labor-intensive. As a result, content production is focused upon meeting the needs of resources with higher demand, which limits the extent to which numerous and diverse content requirements of AHSs can be met. Open Corpus Slicing attempts to convert the wealth of information available on the web, into cus...

Learners learn differently because they are different – and they grow more distinctive as they mature. Personalized learning occurs when e-learning systems make deliberate efforts to design educational experiences that fit the needs, goals, talents, and interests of their learners. Researchers had recently begun to investigate various techniques to help teachers improve e-learning systems. In t...

In this study, we carry out a survey of the preferred learning and perceptual styles of students at the University of Mauritius to find out about their learning preferences. This study forms part of a larger research project (HyperLearn) of the development and evaluation of a webbased adaptive hypermedia system for e-learning which keeps an evolving student model with a learning style component...

This paper presents a Performance Oriented Adaptation Agent (POAA) architecture that improves adaptive selection of Learning Objects stored in distributed knowledge repositories. This approach can enhance adaptation process in the Open corpus Adaptive Educational Hypermedia System (OAEHS) Server. The focus is on enhancing existing adaptive selection process by considering network performance fa...

This paper analyses one of the most well-known general purpose adaptive hypermedia systems, AHA!, and, based on this analysis, make some general observations about adaptive hypermedia systems and some improvement suggestions for the AHA! system. We suggest here a concept-based approach to the structuring of adaptive hypermedia systems, as well as an extension of the well-known rule-based overla...

Adaptive Educational Hypermedia (AEH) is very time consuming and complex to produce. Moreover, with the rapid rate of AEH development, content generated within a given system can become outdated very rapidly. Both of these contribute to the slow uptake of AEH outside of the research community. We consider interoperability between AEH systems to be an important part of the solution to this probl...

This paper discusses theory and research issues associated with the use of hypermedia technologies to support learning. It is proposed that viewing hypermedia technologies as an enabling infrastructure for tools to support learning—in particular learning in problem-oriented pedagogical environments involving cases—has particular promise. After considering research issues with problem-oriented l...

One of the main purposes of using ontologies for knowledge modeling in adaptive systems is knowledge reuse and interoperability. Commitment of knowledge models to a common ontology can potentially help to solve a number of traditional problems found in adaptive systems, including cross-application personalization. A new version of the adaptive educational hypermedia system QuizGuide integrates ...

Adaptive Hypermedia Systems are capable of delivering personalized learning content to learners across the WWW. Learning Environments provide interfaces and support services to aid tutors in course construction and aid learners in navigating those courses. However, most Learning Environments deliver content sourced from local repositories. This content tends not to offer adaptive features that ...