Personality and satisfaction with online courses: The relation between the Big Five personality traits and satisfaction with online learning activities.

Distance education Higher education Online courses Online learning activities Personality traits Personalization

Journal

Education and information technologies
ISSN: 1360-2357
Titre abrégé: Educ Inf Technol (Dordr)
Pays: Netherlands
ID NLM: 101705199

Informations de publication

Date de publication:
2023
Historique:
received: 10 02 2022
accepted: 28 06 2022
pubmed: 13 7 2022
medline: 13 7 2022
entrez: 12 7 2022
Statut: ppublish

Résumé

Online courses have become widespread in higher education. Yet, despite their prevalence, they may not suit all learners. Personality influences learner satisfaction and therefore affects learning experience. This study explores the relation between personality traits (using Costa & McCare's Big-Five model) and student satisfaction with various of learning activities offered in online courses, called Techno-Pedagogical Learning Solutions (TPLS). The tested TPLS were discussion groups, digital books, online assignments, surveys/polls and media. Questionnaires were used to measure personality types and satisfaction of 108 university students enrolled in a credited online academic course. Significant correlations were found between all five personality traits and satisfaction with several TPLS. Cluster analysis method was applied to identify learners with similar personality traits. Four groups were formed and group's satisfaction score was measured. It was found that learners assigned to the "neurotic" group exhibited low satisfaction with all TPLS, contrary to learners assigned to the "non-neurotic" group. The findings clearly indicate that personality plays a significant role in online learner satisfaction. Thus, personality traits should be considered when designing learning activities for online courses. Such personality-based personalization may ensure that no learner is left behind, regardless of his\ her attitude toward online learning.

Identifiants

pubmed: 35818630
doi: 10.1007/s10639-022-11199-x
pii: 11199
pmc: PMC9261160
doi:

Types de publication

Journal Article

Langues

eng

Pagination

879-904

Informations de copyright

© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022.

Références

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pubmed: 27055049
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pubmed: 24162101

Auteurs

Orit Baruth (O)

School of Education, Tel Aviv University, Ramat Aviv, P.O.B 39040, 69978 Tel Aviv, Israel.

Anat Cohen (A)

School of Education, Tel Aviv University, Ramat Aviv, P.O.B 39040, 69978 Tel Aviv, Israel.

Classifications MeSH