Multi-criteria adaptation in a personalized multimedia testing tool based on semantic technologies

Fotis Lazarinis, Steve Green, Elaine Pearson

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

In this article, we present the characteristics and the design of a modular personalized multimedia testing tool based fully on XML learning specifications. Personalization is based on the characteristics of the individual learners, thus the testing paths are tailored to their needs and goals. The system maintains learner profiles rich in content from which diverse information can be elicited and presented to educators to help them understand their learners. At the end of the article, specific use cases are discussed and the educational advantages are discussed on the basis of an evaluative study.

Original languageEnglish
Pages (from-to)267-283
Number of pages17
JournalInteractive Learning Environments
Volume19
Issue number3
DOIs
Publication statusPublished - 1 Jun 2011

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