Personalized mobile learning via an adaptive engine

Richard A.W. Tortorella, Sabine Graf

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

19 Citations (Scopus)

Abstract

Using mobile devices for learning gets more and more popular. However, in order to provide learners with suitable learning materials in such mobile settings, the learners' characteristics and context should be considered. In this paper, we propose an approach for providing personalized course content in mobile settings, considering a combination of students' learning styles and context. The proposed system aims at supporting students by presenting them with learning materials that are appropriate with respect to the students' current contexts and based on their preferred learning styles.

Original languageEnglish
Title of host publicationProceedings of the 12th IEEE International Conference on Advanced Learning Technologies, ICALT 2012
Pages670-671
Number of pages2
DOIs
Publication statusPublished - 2012
Event12th IEEE International Conference on Advanced Learning Technologies, ICALT 2012 - Rome, Italy
Duration: 4 Jul. 20126 Jul. 2012

Publication series

NameProceedings of the 12th IEEE International Conference on Advanced Learning Technologies, ICALT 2012

Conference

Conference12th IEEE International Conference on Advanced Learning Technologies, ICALT 2012
Country/TerritoryItaly
CityRome
Period4/07/126/07/12

Keywords

  • Mobile learning
  • adaptive learning
  • context awareness
  • learning styles
  • ubiquitous learning

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