📄 Abstract
This study investigates the essential AI skills and knowledge required for university lecturers, focusing on their awareness, challenges, and training needs. A survey was conducted with 87 lecturers from the Viet-Hung Industrial University to gather insights into their understanding and application of AI in teaching. The results indicate that while a majority of lecturers are aware of AI, only a small percentage feel confident in their knowledge. The main challenges identified include a lack of resources, insufficient time for learning, and the need for more practical training. Despite these obstacles, lecturers recognize the significant potential of AI to enhance teaching effectiveness, personalize student learning, and improve teacher-student interaction. The study highlights the urgent need for comprehensive AI training programs that cover fundamental principles, practical applications, and programming skills. Such training is crucial to overcoming current barriers and fully leveraging AI's benefits in higher education. The findings underscore the importance of investing in AI education for lecturers to prepare them for the future of modern, sustainable education. Expanding the use of AI in teaching is not only a necessary trend but also a pivotal step towards improving the quality of higher education.
🏷️ Keywords
📚 How to Cite:
Nguyen Trong Viet , ESSENTIAL AI SKILLS AND KNOWLEDGE FOR UNIVERSITY LECTURERS , Volume 12 , Issue 6, august 2024, International Journal of Asian Economic Light (JAEL) ,