Exploring Generation Z’s Acceptance of Artificial Intelligence in Higher Education
A TAM and UTAUT-Based PLS-SEM and Cluster Analysis
Bibliographic Data
| ID | 22047472 |
|---|---|
| Authors | Réka Koteczki (0009-0005-6631-201X, Széchenyi István University, corresponding author), Boglárka Eisinger Balassa (0000-0003-2894-5615, Széchenyi István University) |
| Year | 2025 |
| Volume | 15 |
| Issue | 8 |
| Pages | 1044 |
| Publication date | 2025-08-14 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Education Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2227-7102 • E-ISSN: 2227-7102 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/educsci15081044 |
| OpenAlex | W4413417513 |
| Language | EN |
| References cited | 46 |
In recent years, the rapid growth of artificial intelligence (AI) has significantly transformed higher education, particularly among Generation Z students who are more open to new technologies. Tools such as ChatGPT are increasingly being used for learning, yet empirical research on their acceptance, especially in Hungary, is limited. This study aims to explore the psychological, technological, and social factors that influence the acceptance of AI among Hungarian university students and to identify different user groups based on their attitudes. The methodological novelty lies in combining two approaches: partial least-squares structural equation modelling (PLS-SEM) and cluster analysis. The survey, based on the TAM and UTAUT models, involved 302 Hungarian students and examined six dimensions of AI acceptance: perceived usefulness, ease of use, attitude, social influence, enjoyment and behavioural intention. The PLS-SEM results show that enjoyment (β = 0.605) is the strongest predictor of the intention to use AI, followed by usefulness (β = 0.167). All other factors also had significant effects. Cluster analysis revealed four groups: AI sceptics, moderately open users, positive acceptors, and AI innovators. The findings highlight that the acceptance of AI is shaped not only by functionality but also by user experience. Educational institutions should, therefore, provide enjoyable and user-friendly AI tools and tailor support to students’ attitude profiles
Higher education · Mathematics education · Political science · AI in Service Interactions · Computer Science · Education and Learning Interventions · Psychology · Technology Adoption and User Behaviour · Artificial Intelligence
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| Citation velocity | historical |
|---|---|
| Highly cited | No |