Interoperability in Personalized Adaptive Learning

Peter Dolog, Lora Aroyo, Geert-Jan Houben, Milos Kravcik, Ambjön Næve, Mikkael Nisson, Fridolin Wild

Research output: Contribution to journalJournal articleResearchpeer-review

121 Citations (Scopus)


Personalized adaptive learning requires semantic-based and context-aware systems to manage knowledge efficiently as well as to achieve semantic interoperability between heterogeneous information resources and services. The technological and conceptual differences can be bridged either by means standards or via approaches based on the Semantic Web. This article deals with the issue of interoperability of educational contents on the Web by considering the integration of learning standards, Semantic Web, and adaptive technologies to meet the requirements of learners. Discussion is m ade state of the art and the main challenges in this field, including metadata access and design issues relating adaptive learning. Additionally, a way how to integrate several original approaches is proposed.
Original languageEnglish
JournalEducational Technology and Society
Issue number2
Pages (from-to)4-18
Number of pages15
Publication statusPublished - 2006
Externally publishedYes


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