Advanced adaptivity in learning management systems by considering learning styles

Sabine Graf, Kinshuk

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

46 Citations (Scopus)

Abstract

Typical learning management systems consider only little or, in most cases, no adaptivity. In this paper, we introduce an adaptive mechanism which enables such systems to provide students with courses that fit their individual learning styles. The adaptive mechanism is based on an advanced student modelling approach which identifies learning styles by automatic, dynamic, and global student modelling. Based on the identified learning styles, the adaptive mechanism composes courses that match the students' learning styles, aiming at making learning easier for students. Furthermore, the adaptive mechanism aims at being easy to use for teachers by being generic and adaptable for teachers, allowing them to adjust the mechanism to their course structure and preferences.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009
Pages235-238
Number of pages4
DOIs
Publication statusPublished - 2009
Event2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009 - Milano, Italy
Duration: 15 Sep. 200918 Sep. 2009

Publication series

NameProceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009
Volume3

Conference

Conference2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009
Country/TerritoryItaly
CityMilano
Period15/09/0918/09/09

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