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.

翻译：本研究探讨了高等教育中学生对生成式人工智能的认知与其使用意愿之间的关系。基于期望价值理论（EVT），我们开发了一份问卷，用于测量学生对生成式人工智能的了解程度、感知价值以及感知成本。405名学生参与了此项研究，并通过验证性因子分析对构念进行了有效性验证。结果表明，感知价值与使用生成式人工智能的意愿之间存在强正相关，而感知成本与使用意愿之间则存在弱负相关。在持续探索生成式人工智能在教育及其他领域的影响之际，我们有必要审慎考量其广泛采纳可能带来的长期后果及伦理困境。