From effectiveness to sustainable use: understanding university students’ adoption of generative AI for academic writing through an extended UTAUT mixed-methods study

A recent study employing a mixed-methods approach with Chinese university students indicates that the sustainable use of Generative AI (GenAI) in academic writing is influenced by a range of factors beyond initial adoption. Key determinants include performance expectancy, effort expectancy, and social influence, alongside perceived usefulness and convenience. However, ethical concerns and academic integrity significantly moderate this sustainable use, highlighting a critical tension between the benefits and responsible deployment of GenAI in educational settings.

This research is strategically important because it sheds light on the factors influencing the sustained adoption of emerging AI technologies in educational and professional contexts. Understanding these determinants, particularly the moderating role of ethical considerations, is crucial for developing policies and strategies that foster responsible and effective technology integration.

Performance expectancy, effort expectancy, and social influence are significant positive determinants of students' sustained GenAI use for academic writing.

Forward consideration, not a verified fact.