Acceptance and Usage Patterns of Generative Artificial Intelligence Among Higher Education Students
Year: 2026
Type: article
Study design: Observational Study
Abstract: The present study aims to investigate acceptance levels and usage patterns of generative artificial intelligence (GenAI) among higher education students. A survey was conducted among 318 students enrolled at a public university in Türkiye to collect data. The data were collected using the Generative Artificial Intelligence Acceptance Scale and a Personal Information Form, and analysed using descriptive statistics, independent samples t-tests, one-way ANOVA, and correlation analysis. The findings indicated that students in higher education generally exhibit high acceptance of GenAI technologies. Over half of the students reported using at least one GenAI tool, with ChatGPT being the most commonly used. The results further showed no significant differences in GenAI acceptance between male and female students, nor based on students’ grade point averages or academic year. However, a significant difference was observed between undergraduate and associate students in terms of social influence scores. The high GenAI acceptance levels among students highlight the necessity of establishing guidelines to ensure its ethical, effective, and responsible use. The findings provide valuable insights for educators and administrators offering guidance for the informed adoption and implementation of GenAI tools in educational settings.
Source: Educational Academic Research
Authors: Dilara Arzugül Aksoy, Anıl Kadir Akyel
Institution: Bayburt University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W7161586746