Implementation of affective states and learning styles tactics in web-based learning management systems

Farman Ali Khan, Sabine Graf, Edgar R. Weippl, A. Min Tjoa

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

12 Citations (Scopus)

Abstract

Learning styles and affective states have a significant effect on student learning. The aim of this paper is to present a concept to identify and integrate learning styles and affective states of a learner into web-based learning management systems and therefore providing learners with adaptive courses and additional individualized pedagogical guidance that is tailored to their learning styles and affective states. Through considering affective states and learning styles, learners are provided with a learning environment that is more personalized and tailored to learners needs and current situation, leading to better learning outcomes and progress.

Original languageEnglish
Title of host publicationProceedings - 10th IEEE International Conference on Advanced Learning Technologies, ICALT 2010
Pages734-735
Number of pages2
DOIs
Publication statusPublished - 2010
Event10th IEEE International Conference on Advanced Learning Technologies, ICALT 2010 - Sousse, Tunisia
Duration: 5 Jul. 20107 Jul. 2010

Publication series

NameProceedings - 10th IEEE International Conference on Advanced Learning Technologies, ICALT 2010

Conference

Conference10th IEEE International Conference on Advanced Learning Technologies, ICALT 2010
Country/TerritoryTunisia
CitySousse
Period5/07/107/07/10

Keywords

  • Adaptivity
  • Affective states
  • Learning management systems
  • Learning styles
  • Student modeling

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