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The relationship between students’ Myers-Briggs type indicator and their behavior within educational systems

The relationship between students’ Myers-Briggs type indicator and their behavior within educational systems
The relationship between students’ Myers-Briggs type indicator and their behavior within educational systems
Leveraging user behavior has become an increasingly valuable resource for modeling and personalizing systems based on the unique characteristics of each user. While recent studies have recently been conducted along these lines, there is still a lack of understanding of the relationship between students’ Myers-Briggs Type Indicators and their behavior within educational systems. Facing this problem, we conducted a long-term study (15 weeks) with 96 students, analyzing how their engagement metrics and communication frequency in a Moodle Learning Management System are related to their Myers-Briggs personality types (i.e., extroversion/introversion, sensing/intuition, thinking/feeling, and judging/perceiving). The primary findings indicate that i) participants identified as extroverted demonstrated heightened activity levels throughout more weeks of the course, and ii) participants characterized by judging and thinking traits engaged in a greater number of activities over the course duration. The results contribute to the field of educational technologies by providing valuable insights into the relationships between different characteristics associated with the Myers-Briggs Type Indicator and students’ behavior when using an educational system
Alseitova, Akerke
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Oliveira, Wilk
aee84401-676f-44af-8e40-1285c33d3ea3
Li, Zhaoxing
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Shi, Lei
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Hamari, Juho
9689849f-0a33-4fda-86b3-bc1e297381f3
Alseitova, Akerke
f4dd41ed-d459-4027-a6bc-22ffb890c2ba
Oliveira, Wilk
aee84401-676f-44af-8e40-1285c33d3ea3
Li, Zhaoxing
65935c45-a640-496c-98b8-43bed39e1850
Shi, Lei
88fba729-3be9-4748-8246-b28dcc829d39
Hamari, Juho
9689849f-0a33-4fda-86b3-bc1e297381f3

Alseitova, Akerke, Oliveira, Wilk, Li, Zhaoxing, Shi, Lei and Hamari, Juho (2024) The relationship between students’ Myers-Briggs type indicator and their behavior within educational systems. In The 24th IEEE International Conference on Advanced Learning Technologies. 5 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

Leveraging user behavior has become an increasingly valuable resource for modeling and personalizing systems based on the unique characteristics of each user. While recent studies have recently been conducted along these lines, there is still a lack of understanding of the relationship between students’ Myers-Briggs Type Indicators and their behavior within educational systems. Facing this problem, we conducted a long-term study (15 weeks) with 96 students, analyzing how their engagement metrics and communication frequency in a Moodle Learning Management System are related to their Myers-Briggs personality types (i.e., extroversion/introversion, sensing/intuition, thinking/feeling, and judging/perceiving). The primary findings indicate that i) participants identified as extroverted demonstrated heightened activity levels throughout more weeks of the course, and ii) participants characterized by judging and thinking traits engaged in a greater number of activities over the course duration. The results contribute to the field of educational technologies by providing valuable insights into the relationships between different characteristics associated with the Myers-Briggs Type Indicator and students’ behavior when using an educational system

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Published date: 6 July 2024

Identifiers

Local EPrints ID: 492215
URI: http://eprints.soton.ac.uk/id/eprint/492215
PURE UUID: ced6cb9e-9979-4dce-8c41-bd811dd5ac4e
ORCID for Zhaoxing Li: ORCID iD orcid.org/0000-0003-3560-3461

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Date deposited: 22 Jul 2024 16:41
Last modified: 23 Jul 2024 02:11

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Contributors

Author: Akerke Alseitova
Author: Wilk Oliveira
Author: Zhaoxing Li ORCID iD
Author: Lei Shi
Author: Juho Hamari

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