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 language | English |
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Title of host publication | Proceedings of the 24th ACM Conference on User Modeling, Adaptation and Personalisation (UMAP 2016) |
Subtitle of host publication | Workshop on Personalization Approaches in Learning Environments |
Editors | Federica Cena, Michel Desmarais, Darina Dicheva, Jie Zhang |
Publisher | CEUR-WS |
Number of pages | 5 |
Volume | 1618 |
Publication status | Published - 2016 |
Event | PALE 2016: Workshop on Personalization Approaches in Learning Environments - Halifax, Canada Duration: 16 Jul 2016 → … http://www.um.org/umap2016/workshops.html |
Publication series
Name | CEUR Workshop Proceedings |
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Publisher | CEUR |
Volume | 1618 |
ISSN (Electronic) | 1613-0073 |
Workshop
Workshop | PALE 2016 |
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Country/Territory | Canada |
City | Halifax |
Period | 16/07/16 → … |
Internet address |
Keywords
- Educational recommender
- Learning material
- Personality
- Personalization