Assessing differences in emotional intelligence among lifestyle and AI usage profiles generated via Self-Organizing Maps in first-year university students
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ESSN: 1664-1078
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Abstract
Background: The transition to higher education exposes first-year students to
significant lifestyle changes and the challenges of a hyperconnected ecosystem,
including the rapid integration of Artificial Intelligence (AI). While physical activity
and digital flourishing are recognized as protective factors, their interaction with
students’ emotional competencies remains underexplored through non-linear,
multidimensional approaches.
Objective: This study aimed to identify topological profiles among incoming
university students based on lifestyle, digital flourishing, and AI usage, and
to analyze dierences in intrapersonal emotional intelligence across these
distinct profiles.
Methods: A cross-sectional study was conducted with 385 first-year students.
Data on physical activity, digital flourishing, AI perceptions and usage, and
emotional intelligence were collected using validated self-reported instruments.
A person-centered topological approach using Self-Organizing Maps (SOM) and
k-means clustering was employed to identify student profiles, followed by oneway ANOVA to evaluate dierences in emotional attention, clarity, and repair.
Results: The SOM analysis successfully identified six distinct behavioral
and psychosocial profiles. A clear divergence emerged between an adaptive
profile (Cluster 6, characterized by active lifestyles, high digital flourishing, and
instrumental AI use) and a vulnerable profile (Cluster 1, marked by relative
physical inactivity and lower scores across digital dimensions). Crucially, the
inferential analysis revealed that the profiles exhibited significant dierences in
their emotional competencies, with the adaptive profile showing significantly
higher levels of emotional clarity and repair compared to the vulnerable group.
Conclusion: Successful adaptation to the university and technological
environment transcends the mere acquisition of isolated skills. Intrapersonal
emotional intelligence acts as a key psychological factor dierentiating adaptive
from vulnerable student profiles, underscoring the potential benefit of holistic institutional interventions that simultaneously integrate the promotion of physical
activity, digital wellbeing, and emotional competence
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Author contributions
LA-L: Conceptualization, Data curation, Formal analysis,
Funding acquisition, Investigation, Methodology, Project
administration, Resources, Software, Supervision, Validation,
Visualization, Writing – original draft, Writing – review & editing.
RF-P: Conceptualization, Data curation, Formal analysis, Funding
acquisition, Investigation, Methodology, Project administration,
Resources, Software, Supervision, Validation, Visualization,
Writing – original draft, Writing – review & editing. A-RM:
Conceptualization, Data curation, Formal analysis, Funding
acquisition, Investigation, Methodology, Project administration,
Resources, Software, Supervision, Validation, Visualization,
Writing – original draft, Writing – review & editing. AM-A: Conceptualization, Data curation, Formal analysis, Funding
acquisition, Investigation, Methodology, Project administration,
Resources, Software, Supervision, Validation, Visualization,
Writing – original draft, Writing – review & editing.


