Exploring the impact of extroversion on the selection of learning materials

Manal Alhathli, Judith Masthoff, Advaith Siddharthan

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

3 Citations (Scopus)

Abstract

The Internet provides access to many learning materials thatcould complement class room teaching. An educational recommender system can aid learners to find learning materialsmost suitable to them. The best learning materials will depend on learner characteristics. This paper investigates theinfluence of learner personality. In particular, it describes astudy in the language learning domain that explores the relation between learners’ extroversion and the extent to whichlearning materials are perceived to be enjoyable and to increase their confidence and skills. We found positive correlations between extroversion and these criteria for social andactive learning materials.

Original languageEnglish
Title of host publicationProceedings of the 24th ACM Conference on User Modeling, Adaptation and Personalisation (UMAP 2016)
Subtitle of host publicationWorkshop on Personalization Approaches in Learning Environments
EditorsFederica Cena, Michel Desmarais, Darina Dicheva, Jie Zhang
PublisherCEUR-WS
Number of pages5
Volume1618
Publication statusPublished - 2016
EventPALE 2016: Workshop on Personalization Approaches in Learning Environments - Halifax, Canada
Duration: 16 Jul 201616 Jul 2016
http://www.um.org/umap2016/workshops.html

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR
Volume1618
ISSN (Electronic)1613-0073

Workshop

WorkshopPALE 2016
Country/TerritoryCanada
CityHalifax
Period16/07/1616/07/16
Internet address

Bibliographical note

We thank the Ministry of Higher Education in Saudi Arabia for sponsoring the PhD of the first author.

Keywords

  • Educational recommender
  • Learning material
  • Personality
  • Personalization

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