Should learning material's Selection be adapted to learning style and personality?

Manal Alhathli; Judith Masthoff; Advaith Siddharthan

doi:10.1145/3099023.3099079

Should learning material's Selection be adapted to learning style and personality?

Manal Alhathli, Judith Masthoff, Advaith Siddharthan

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

8 Citations (Scopus)

Abstract

This paper investigates the influence of learner personality and learning styles on the selection of different styles of learning materials. We considered the big five personality traits (focusing in particular on Extroversion and Openness to Experience) and Felder and Soloman's Index of Learning Styles instrument (ILS).We found no real impact of learning styles, except for a small e.ect for the visual/verbal style. We also did not find an impact of personality on the selection of different styles of learning materials.

Original language	English
Title of host publication	UMAP 2017 - Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization
Place of Publication	Bratislava
Publisher	Association for Computing Machinery, Inc
Pages	275-280
Number of pages	6
ISBN (Electronic)	9781450350679
DOIs	https://doi.org/10.1145/3099023.3099079
Publication status	Published - 9 Jul 2017
Event	25th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2017 - Bratislava, Slovakia Duration: 9 Jul 2017 → 12 Jul 2017

Conference

Conference	25th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2017
Country/Territory	Slovakia
City	Bratislava
Period	9/07/17 → 12/07/17

Keywords

Educational recommender
Learning material
Learning styles
Personality
Personalization

Access to Document

10.1145/3099023.3099079Licence: Unspecified

Cite this

Should learning material's Selection be adapted to learning style and personality? / Alhathli, Manal; Masthoff, Judith; Siddharthan, Advaith.

UMAP 2017 - Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization. Bratislava : Association for Computing Machinery, Inc, 2017. p. 275-280.

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Alhathli, M, Masthoff, J & Siddharthan, A 2017, Should learning material's Selection be adapted to learning style and personality? in UMAP 2017 - Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc, Bratislava, pp. 275-280, 25th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2017, Bratislava, Slovakia, 9/07/17. https://doi.org/10.1145/3099023.3099079

@inproceedings{3a3520c66c054b788ca5f989f5b32574,

title = "Should learning material's Selection be adapted to learning style and personality?",

abstract = "This paper investigates the influence of learner personality and learning styles on the selection of different styles of learning materials. We considered the big five personality traits (focusing in particular on Extroversion and Openness to Experience) and Felder and Soloman's Index of Learning Styles instrument (ILS).We found no real impact of learning styles, except for a small e.ect for the visual/verbal style. We also did not find an impact of personality on the selection of different styles of learning materials.",

keywords = "Educational recommender, Learning material, Learning styles, Personality, Personalization",

author = "Manal Alhathli and Judith Masthoff and Advaith Siddharthan",

note = "We thank Princess Nourah bint Abdulrahman University in Saudi Arabia for sponsoring the PhD of the first author. ; 25th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2017 ; Conference date: 09-07-2017 Through 12-07-2017",

year = "2017",

month = jul,

day = "9",

doi = "10.1145/3099023.3099079",

language = "English",

pages = "275--280",

booktitle = "UMAP 2017 - Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization",