Evidence map›Paper›PMID 41301375›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

Emotional Profiles and Their Relationship with the Use of Artificial Intelligence in University Students.

Raquel Suriá-Martínez, Fernando García-Castillo, Carmen López-Sánchez, José A García Del Castillo

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Raquel Suriá-MartínezDepartment of Communication and Social Psychology, University of Alicante, 03690 Alicante, Spain.ORCID 0000-0001-9968-9730
Fernando García-CastilloDepartment of General Didactics and Specific Didactics, University of Alicante, 03690 Alicante, Spain.ORCID 0000-0003-0787-132X
Carmen López-SánchezDepartment of Communication and Social Psychology, University of Alicante, 03690 Alicante, Spain.
José A García Del CastilloDepartment of Health Psychology, University of Miguel Hernandez, 03202 Elche, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study analyzes the relationship between emotional intelligence (EI) profiles and the use of artificial intelligence (AI) among university students, considering its use as an academic, informational, and emotional support resource. It also explores whether there are statistically significant differences between the identified EI profiles and the purposes for which AI is used. Finally, it examines the association between EI and AI use. A total of 352 students from the University of Alicante participated (184 women, 168 men; mean age = 21.4, SD = 2.3). EI was assessed using the TMMS-24 scale (Attention, Clarity, and Emotional Repair). To evaluate AI use, a 12-item ad hoc questionnaire was developed and validated, comprising three dimensions: educational support, informational support, and emotional support. Cluster analysis identified three EI profiles: (1) high and balanced EI, with high scores across all three dimensions; (2) regulatory EI, characterized by moderate attention and high emotional understanding and regulation; (3) repair-deficit EI, showing difficulties in emotional regulation despite moderate perception and understanding. ANCOVA analyses assessed differences between profiles, showing that students with high and balanced EI perceived greater usefulness of AI for educational and informational support, as well as greater emotional support benefits, compared to other profiles. Finally, positive correlations were found between EI and AI use across all three types of support. These findings suggest that EI influences AI use in differentiated ways, highlighting its role as a facilitator of learning, information management, and emotional well-being in higher education.

Indexed as

academic learningartificial intelligenceemotional intelligencehigher educationmotivational profiles

Identifiers

PMID41301375
PMCPMC12649149

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.