Abstract: [Purpose/Significance] This study aims to delve into the current status of AI literacy among high education students and its correlation with practical application, attitude, interest, and other factors, explore the feasibility and measures for high education institutes to cultivate students' AI literacy in the era of AI, and provide empirical support and theoretical guidance for advancing AI literacy education. [Design/Methodology] Employing quantitative research approaches, this study conducts an analysis of the current AI literacy level among high education students and its correlation with their educational and training backgrounds, practical application experience, attitude, and interest through surveys and data analysis. This research design emphasizes the crucial role of practical experience in enhancing students' AI literacy level, and also examines the impact of factors such as educational backgrounds, disciplinary background, attitude, and interest on AI literacy from various perspectives. [Findings/Conclusion] In the digital era, practical experience plays a vital role in enhancing the AI literacy level of high education students. By actively engaging in the practical use of AI technologies or products, students can more effectively translate theoretical knowledge into practical skills and thereby comprehensively elevate their AI literacy level. Furthermore, there exists a positive correlation between students' positive attitudes, interests, and AI literacy. [Originality/Value] The study presents a targeted scale for assessing the AI literacy level of high education students and examines the factors influencing AI literacy. It lays the groundwork for future in-depth exploration of the correlation between practical application of AI and theoretical learning, as well as developing a tailored educational training framework.

Key words: AI literacy, University students, Education and training, Attitudes, Interests