Evaluation of personalization strategies based on fuzzy logic

Fathi Essalmi, Leila Jemni Ben Ayed, Mohamed Jemni, Kinshuk, Sabine Graf

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

3 Citations (Scopus)

Abstract

Teachers and course authors need to apply various instructional strategies in order to personalize their courses. It is not a trivial task and the time, the efforts and the learning objects needed for preparing personalized learning scenarios depend on the personalization strategy to be applied. This paper presents an approach for selecting appropriate personalization strategies according to the feasibility of generating personalized learning scenarios with minimal burden on the author. Two metrics are proposed for putting in order and selecting useful personalization strategies. The calculation of these metrics is automated based on the analyses of the Learning Object Metadata (LOM) standard according to the semantic relations between data elements and learners' characteristics.

Original languageEnglish
Title of host publicationProceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011
Pages254-256
Number of pages3
DOIs
Publication statusPublished - 2011
Event2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011 - Athens, GA, United States
Duration: 6 Jul. 20118 Jul. 2011

Publication series

NameProceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011

Conference

Conference2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011
Country/TerritoryUnited States
CityAthens, GA
Period6/07/118/07/11

Keywords

  • Evaluation of personalization strategies
  • Fuzzy logic
  • LOM standard
  • Learners' characteristics
  • Metrics

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