Exploring the impact of extroversion on the selection of learning materials

Manal Alhathli, Judith Masthoff, Advaith Siddharthan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The Internet provides access to many learning materials that could complement class room teaching. An educational recommender system can aid learners to find learning materials most suitable to them. The best learning materials will depend on learner characteristics. This paper investigates the inuence of learner personality. In particular, it describes a study in the language learning domain that explores the relation between learners' extroversion and the extent to which learning materials are perceived to be enjoyable and to increase their confidence and skills. We found positive correla-tions between extroversion and these criteria for social and active learning materials.

Original languageEnglish
Title of host publicationCEUR Workshop Proceedings
Subtitle of host publication24th ACM Conference on User Modeling, Adaptation and Personalisation, UMAP 2016
PublisherCEUR-WS
Volume1618
Publication statusPublished - 2016
Event24th ACM Conference on User Modeling, Adaptation and Personalisation, UMAP 2016 - Halifax, Canada
Duration: 13 Jul 201616 Jul 2016

Conference

Conference24th ACM Conference on User Modeling, Adaptation and Personalisation, UMAP 2016
CountryCanada
CityHalifax
Period13/07/1616/07/16

Keywords

  • Educational recommender
  • Learning material
  • Personality
  • Personalization

ASJC Scopus subject areas

  • Computer Science(all)

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  • Cite this

    Alhathli, M., Masthoff, J., & Siddharthan, A. (2016). Exploring the impact of extroversion on the selection of learning materials. In CEUR Workshop Proceedings: 24th ACM Conference on User Modeling, Adaptation and Personalisation, UMAP 2016 (Vol. 1618). CEUR-WS.