Interoperability in personalized adaptive learning

L.M. Aroyo, P. Dolog, G.J.P.M. Houben, M. Kravcik, A. Naeve, M. Nilsson, F. Wild

Research output: Contribution to journalArticleAcademicpeer-review

113 Citations (Scopus)
134 Downloads (Pure)

Abstract

Personalized adaptive learning requires semantic-based and context-aware systems to manage the Web 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 of standards or via approaches based on the Semantic Web. This article deals with the issue of semantic 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 on the state of the art and the main challenges in this field, including metadata access and design issues relating to adaptive learning. Additionally, a way how to integrate several original approaches is proposed.
Original languageEnglish
Pages (from-to)4-18
JournalJournal of Educational Technology & Society
Volume9
Issue number2
Publication statusPublished - 2006

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