Exploring the Factors Influencing Generative AI Usage in Higher Education

September 17, 2025 - 15:47

Generative Artificial Intelligence (AIGC) presents a profound dialectic in higher education: its transformative potential is challenged by deeply seated concerns about its implications. Recent empirical research has delved into the factors that influence the intent to use AIGC among post-secondary students. Utilizing an extended model known as AIDUA, the study highlights key determinants that shape students' perceptions and acceptance of this technology.

The findings suggest that students' attitudes towards AIGC are significantly affected by their perceived ease of use and the perceived usefulness of the technology. Additionally, social influences and the overall learning environment play crucial roles in shaping students' willingness to engage with generative AI tools. The research underscores the importance of addressing both the technological and psychological barriers that may hinder the adoption of AIGC in educational settings.

As institutions navigate the integration of AIGC into curricula, understanding these influencing factors will be essential for fostering an environment conducive to innovation and learning. The study calls for educators and policymakers to consider these insights when developing strategies to incorporate generative AI effectively in post-secondary education.