Assessing differences in emotional intelligence among lifestyle and AI usage profiles generated via Self-Organizing Maps in first-year university students

dc.contributor.authorAlonso Larza, Lucia
dc.contributor.authorFernández Piqueras, Rocio
dc.contributor.authorMoliner Albero, Adoración Reyes
dc.contributor.authorMarco Ahulló, Adrià
dc.date.accessioned2026-09-07T08:35:53Z
dc.date.available2026-09-07T08:35:53Z
dc.date.issued2026-08-26
dc.date.updated2026-09-03T06:20:38Z
dc.descriptionAuthor 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.en
dc.description.abstractBackground: 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 competenceen
dc.description.disciplinePsicología
dc.identifier.doihttps://doi.org/10.3389/fpsyg.2026.1905299
dc.identifier.essn1664-1078
dc.identifier.urihttps://hdl.handle.net/20.500.12466/7758
dc.journal.titleFrontiers in Psychology
dc.language.isoeng
dc.page.final9
dc.page.initial1
dc.relation.projectIDThe author(s) declared that financial support was received for this work and/or its publication. This publication was realized with financial support from the Catholic University of Valencia “San Vicente Mártir” (Valencia, Spain), UCV INGENIO 2025- 2026en
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.keywordArtificial Intelligenceen
dc.subject.keywordDigital flourishingen
dc.subject.keywordEmotional intelligenceen
dc.subject.keywordPerson-centered approachen
dc.subject.keywordUniversity transitionen
dc.subject.unesco5801 Teoría y Métodos Educativos
dc.titleAssessing differences in emotional intelligence among lifestyle and AI usage profiles generated via Self-Organizing Maps in first-year university studentsen
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number17

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
fpsyg-17-1905299.pdf
Size:
1.73 MB
Format:
Adobe Portable Document Format