Understanding students' behavior in learning management systems through their personality traits
Understanding students' behavior in learning management systems through their personality traits
Personalizing educational experiences based on user behavior is a complex challenge, particularly given that learners’ diverse backgrounds, learning experiences, and cognitive styles significantly influence their learning outcomes. Despite recent advancements, the relationship between students’ personality traits and their behavior within learning environments remains insufficiently understood. To address this gap, we conducted a 15-week longitudinal study with 95 undergraduate Computer Science students, examining how engagement metrics and communication frequency within a learning management system relate to their Myers-Briggs Type Indicator dimensions i.e., extroversion/introversion, sensing/intuition, thinking/feeling, and judging/perceiving. Our findings indicate that (i) extroverted students demonstrated consistently higher engagement over multiple weeks; (ii) students with judging traits negatively related to the total activities performed and (iii) students with thinking traits are positively associated with overall activity levels.
Alseitova, Akerke
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Oliveira, Wilk
1c74ee38-fc1b-4307-8d98-9783758799d7
Li, Zhaoxing
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Hamari, Juho
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Alseitova, Akerke
d5f7a245-ff3a-4fe5-a40a-b297387a5930
Oliveira, Wilk
1c74ee38-fc1b-4307-8d98-9783758799d7
Li, Zhaoxing
65935c45-a640-496c-98b8-43bed39e1850
Hamari, Juho
be1b7646-168c-48e3-a231-b2d4713f6436
Alseitova, Akerke, Oliveira, Wilk, Li, Zhaoxing and Hamari, Juho
(2025)
Understanding students' behavior in learning management systems through their personality traits.
Technology, Knowledge and Learning.
(doi:10.1007/s10758-025-09931-w).
Abstract
Personalizing educational experiences based on user behavior is a complex challenge, particularly given that learners’ diverse backgrounds, learning experiences, and cognitive styles significantly influence their learning outcomes. Despite recent advancements, the relationship between students’ personality traits and their behavior within learning environments remains insufficiently understood. To address this gap, we conducted a 15-week longitudinal study with 95 undergraduate Computer Science students, examining how engagement metrics and communication frequency within a learning management system relate to their Myers-Briggs Type Indicator dimensions i.e., extroversion/introversion, sensing/intuition, thinking/feeling, and judging/perceiving. Our findings indicate that (i) extroverted students demonstrated consistently higher engagement over multiple weeks; (ii) students with judging traits negatively related to the total activities performed and (iii) students with thinking traits are positively associated with overall activity levels.
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Understanding_Students__Behavior_in_Learning_Management_Systems_Through_Their_Personality_Traits__Copy_
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Accepted/In Press date: 16 November 2025
e-pub ahead of print date: 6 December 2025
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Local EPrints ID: 508318
URI: http://eprints.soton.ac.uk/id/eprint/508318
ISSN: 2211-1662
PURE UUID: 5d6525dd-8716-49dc-a2b1-134942e44c25
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Date deposited: 16 Jan 2026 18:00
Last modified: 17 Jan 2026 03:40
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Contributors
Author:
Akerke Alseitova
Author:
Wilk Oliveira
Author:
Zhaoxing Li
Author:
Juho Hamari
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