This study examines the relationship between student perceptions and their
intention to use generative AI in higher education. Drawing on Expectancy-Value
Theory (EVT), a questionnaire was developed to measure students' knowledge of
generative AI, perceived value, and perceived cost. A sample of 405 students
participated in the study, and confirmatory factor analysis was used to
validate the constructs. The results indicate a strong positive correlation
between perceived value and intention to use generative AI, and a weak negative
correlation between perceived cost and intention to use. As we continue to
explore the implications of generative AI in education and other domains, it is
crucial to carefully consider the potential long-term consequences and the
ethical dilemmas that may arise from widespread adoption.

本研究使用期望 - 价值理论考察了学生对生成式人工智能的知识、知觉价值和成本的认知与其使用意向之间的关系。结果表明，学生对生成式人工智能的知觉价值与使用意向之间存在强烈的正相关性，而对其成本的知觉则呈现弱负相关。在探讨生成式人工智能在教育和其他领域应用的潜在后果和可能出现的伦理困境时，需要认真考虑其可能造成的长期影响。