Research Article A detailed examination of faculty acceptance of artificial intelligence: Insights from key variables

Abstract

The adoption and use of emerging technologies like artificial intelligence (AI) in universities can significantly impact educational and research processes. This study investigates the acceptance levels of AI technologies among university faculty members in Türkiye using a descriptive survey design. Data were collected via convenience sampling during the spring semester of the 2023-2024 academic year from 392 faculty members through an online questionnaire distributed by email. The AI Acceptance Scale, developed based on the Technology Acceptance Model, was employed to measure acceptance levels. Data analysis included descriptive statistics, normality tests, and non-parametric inferential analyses conducted via SPSS 26.0. Findings indicated a high level of AI acceptance overall, with sub-factors showing high scores for ease of use, perceived usefulness, attitude toward use, and intention to use. Age and duration of AI use were found to significantly affect acceptance levels. These results provide valuable insights for facilitating AI integration in higher education environments.