Evidence map›Paper›PMID 41225658›Full record

ArticleBMC psychology2025

What makes university students accept generative artificial intelligence? A moderated mediation model.

Nuri Türk, Barzan Batuk, Alican Kaya, Oğuzhan Yıldırım

Abstract read
In one paragraph

Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

4 authors.

Nuri TürkDepartment of Guidance and Psychological Counselling, Siirt University, Siirt, Turkey. nuri.turk@siirt.edu.tr.ORCID http://orcid.org/0000-0002-7059-9528
Barzan BatukDepartment of Educational Sciences, Siirt University, Siirt, Turkey.ORCID http://orcid.org/0000-0002-1393-2814
Alican KayaDepartment of Guidance and Psychological Counselling, Ağrı İbrahim Çeçen University, Ağrı, Turkey.ORCID http://orcid.org/0000-0003-2933-0161
Oğuzhan YıldırımDepartment of Guidance and Psychological Counselling, Kahramanmaraş Sütçü İmam University, Kahramanmaraş, Turkey.ORCID http://orcid.org/0000-0002-8174-9640

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial Intelligence (AI) technology developments are increasing the importance of accepting and utilizing generative AI. Higher Education is one of the most common areas where AI tools are used. University students use AI tools such as ChatGPT for various purposes (e.g., homework and projects). However, there is limited research on the factors affecting university students' acceptance of AI. AI-related technology and literacy skills are effective in promoting the acceptance of new technologies. Additionally, attitude towards AI and AI self-efficacy can promote the acceptance of AI. Within this context, this study tested a hypothetical model to examine the relationships among university students' attitude towards AI, AI literacy, AI self-efficacy, AI learning anxiety, and AI acceptance. Data were collected from 356 participants (265 females) with a mean of 22.71 (SD = ± 3.72). Mediation and moderation analyses were used to examine the role of AI literacy, AI self-efficacy, and AI learning anxiety in the relationship between attitude towards AI and AI acceptance among Turkish university students. The research results showed that the relationship between attitude toward AI and acceptance of AI can be explained by AI literacy and AI self-efficacy. Moreover, AI learning anxiety can moderate the predictive role of students' attitudes towards AI on AI acceptance. The study broadens and enhances the educational AI literature related to the factors that complicate and facilitate AI acceptance.

Indexed as

Artificial IntelligenceAttitudeAttitude to ComputersGenerative Artificial IntelligenceSelf EfficacyStudentsAdultAnxietyFemaleHumansMaleTurkeyUniversitiesYoung AdultAI acceptanceAI attitudeAI literacyAI self-efficacyEducational AI

Identifiers

PMID41225658
PMCPMC12613713

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.