Evidence map›Paper›PMID 41009209›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

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

Simona Maria Glaveanu, Roxana Maier

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

2 authors.

Simona Maria GlaveanuFaculty of Psychology, Ecological University of Bucharest, 061341 Bucharest, Romania.ORCID 0009-0000-8019-667X
Roxana MaierFaculty of Psychology, Ecological University of Bucharest, 061341 Bucharest, Romania.ORCID 0000-0002-8601-9102

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Indexed as

adapted scaleaffective componentattitudesbehavioral componentChatGPTcognitive componentuniversity students

Identifiers

PMID41009209
PMCPMC12466694

What OpenQuestion holds

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Registered trials

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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.