An approach for detecting learning styles in learning management systems

Sabine Graf, Kinshuk

Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

61 Citations (Scopus)

Abstract

Detecting the needs of learners is a challenging but essential task to be able to provide adaptivity. In this paper we present a tool that enables learning management systems (LMS) to detect learning styles based on the behavior of learners during an online course. By calculating the learning styles and filling the student model of LMS with such personal data, a basis for adaptivity is provided.

Original languageEnglish
Title of host publicationProceedings - Sixth International Conference on Advanced Learning Technologies, ICALT 2006
Pages161-163
Number of pages3
Publication statusPublished - 2006
Event6th International Conference on Advanced Learning Technologies, ICALT 2006 - Kerkrade, Netherlands
Duration: 5 Jul. 20067 Jul. 2006

Publication series

NameProceedings - Sixth International Conference on Advanced Learning Technologies, ICALT 2006
Volume2006

Conference

Conference6th International Conference on Advanced Learning Technologies, ICALT 2006
Country/TerritoryNetherlands
CityKerkrade
Period5/07/067/07/06

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