An Analysis of Students’ Attitudes Toward Artificial Intelligence—ChatGPT, in Particular—In Relation to Personality Traits, Coping Strategies, and Personal Values

The general objective of this research was to investigate the attitudes of Bucharest students toward artificial intelligence (AI)-in particular, ChatGPT-in relation to their personality traits, coping strategies, and personal values to identify psychosocial approaches for students' effective reporting toward this AI product. As there was no instrument validated and calibrated on Romanian students, the scale constructed by Acosta-Enriquez et al. in 2024 was adapted to students from Bucharest (N = 508). Following the item analysis, the adapted scale was reduced to 16 items, and, following the factor analysis (EFA-0.81 < α < 0.91), the structure with three factors (cognitive, affective, and behavioral components), explaining 53% of the variation in Bucharest students' attitudes toward ChatGPT, was maintained considering the results of the confirmatory factor analysis-CFA (χ<sup>2</sup>(79) = 218.345, <i>p</i> < 0.001; CMIN/DF = 2.486; CFI = 0.911; TLI = 0.900; RMSEA = 0.058 (90% CI: 0.50-0.065). The present study showed that 85.53% of the research subjects used ChatGPT at least once, of which 24.11% have a positive/open attitude toward ChatGPT, and that there are correlations (<i>p</i> < 0.01; 0.23 < r<sup>2</sup> < 0.50) between students' attitudes toward ChatGPT and several personality traits, coping strategies, and personal values. It also proves that the three components of the attitude toward ChatGPT (cognitive, affective, and behavioral) are correlated with a series of personality traits, coping strategies, and personal values of students. Although the general objective was achieved and the adapted scale has adequate psychometric qualities, the authors propose in future studies to expand the group of subjects so that the scale can be validated at the level of the Romanian population. In this research, at the end, several concrete approaches are proposed for the effective reporting of students toward this AI product, which, beyond the ethical challenges, also recognizes the benefits of technology in the evolution of education.

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Publication Details

Journal
Behavioral Sciences
Published
2025-08-29
DOI
https://doi.org/10.3390/bs15091179
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

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An Analysis of Students’ Attitudes Toward Artificial Intelligence—ChatGPT, in Particular—In Relation to Personality Traits, Coping Strategies, and Personal Values

Roxana Maier, Simona Maria Glăveanu
Behavioral Sciences
Artificial Intelligence in Healthcare and Education
article

An Analysis of Students’ Attitudes Toward Artificial Intelligence—ChatGPT, in Particular—In Relation to Personality Traits, Coping Strategies, and Personal Values

Roxana Maier, Simona Maria Glăveanu
article en

Abstract

The general objective of this research was to investigate the attitudes of Bucharest students toward artificial intelligence (AI)-in particular, ChatGPT-in relation to their personality traits, coping strategies, and personal values to identify psychosocial approaches for students' effective reporting toward this AI product. As there was no instrument validated and calibrated on Romanian students, the scale constructed by Acosta-Enriquez et al. in 2024 was adapted to students from Bucharest (N = 508). Following the item analysis, the adapted scale was reduced to 16 items, and, following the factor analysis (EFA-0.81 < α < 0.91), the structure with three factors (cognitive, affective, and behavioral components), explaining 53% of the variation in Bucharest students' attitudes toward ChatGPT, was maintained considering the results of the confirmatory factor analysis-CFA (χ<sup>2</sup>(79) = 218.345, <i>p</i> < 0.001; CMIN/DF = 2.486; CFI = 0.911; TLI = 0.900; RMSEA = 0.058 (90% CI: 0.50-0.065). The present study showed that 85.53% of the research subjects used ChatGPT at least once, of which 24.11% have a positive/open attitude toward ChatGPT, and that there are correlations (<i>p</i> < 0.01; 0.23 < r<sup>2</sup> < 0.50) between students' attitudes toward ChatGPT and several personality traits, coping strategies, and personal values. It also proves that the three components of the attitude toward ChatGPT (cognitive, affective, and behavioral) are correlated with a series of personality traits, coping strategies, and personal values of students. Although the general objective was achieved and the adapted scale has adequate psychometric qualities, the authors propose in future studies to expand the group of subjects so that the scale can be validated at the level of the Romanian population. In this research, at the end, several concrete approaches are proposed for the effective reporting of students toward this AI product, which, beyond the ethical challenges, also recognizes the benefits of technology in the evolution of education.

Behavioral SciencesVol. 15(9)
University of Bucharest (RO)
Universitatea din București
Openalex Percentile: Top 84%
Artificial Intelligence in Healthcare and Education
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