Investigating the impact of personality & cognitive efficiency on the selection of exercises for learners

Juliet Okpo, Judith Masthoff, Matt Dennis, Nigel Beacham, Ana Ciocarlan

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

9 Citations (Scopus)

Abstract

Adapting to learner characteristics is essential when selecting exercises for learners. This paper investigates how humans adapt next exercise selection to learner personality and invested mental e.ort to enable a future Intelligent Tutoring System to use these adaptations. Participants were presented with validated stories of a learner's personality at polarised levels, a validated story conveying the mental e.ort invested in carrying out a given task and an indication of a previous performance (just passing) at a simple arithmetic exercise. Participants were also shown a selection of validated exercises of varying difficulty levels and asked to select the exercise which they thought the learner should do next. We found that overall more difficult exercises were selected for learners who used little effort than for learners who used more effort. We found that although an exercise of slightly harder difficulty remains the most popular choice in the high and low self-esteem conditions, for low self-esteem, participants picked an exercise of lower or the same difficulty more often than in the high condition.

Original languageEnglish
Title of host publicationUMAP 2017 - Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization
PublisherAssociation for Computing Machinery, Inc
Pages140-147
Number of pages8
ISBN (Electronic)9781450346351
DOIs
Publication statusPublished - 9 Jul 2017
Event25th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2017 - Bratislava, Slovakia
Duration: 9 Jul 201712 Jul 2017

Publication series

NameUMAP 2017 - Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization

Conference

Conference25th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2017
Country/TerritorySlovakia
CityBratislava
Period9/07/1712/07/17

Bibliographical note

Publisher Copyright:
©2017 ACM.

Keywords

  • Adaptation
  • Cognitive efficiency
  • Exercise selection
  • Mental effort
  • Performance
  • Personality

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