Factors Influence Readiness to Use Artificial Intelligence (AI) Applications in Teaching and Learning Among College Faculty Members of China: A Case Study of Guangdong Medical University

This study examines the intention to use Artificial Intelligence (AI) among academicians at Guangdong Medical University in China, using the Technology Acceptance Model (TAM) as a theoretical framework. The research examines the association between the perceived benefits of AI in higher education and teaching and learning, attitudes towards AI, and the desire to employ AI in teaching and learning. A sample of 260 faculty members was collected via convenience sampling and analyzed using Pearson correlation and multiple regression. The results demonstrate a significant and positive relationship between the perceived advantages of artificial intelligence (AI) in higher education and teaching and the inclination to utilize AI. Nevertheless, an intricate and reciprocal correlation with sentiments towards AI is also noted. The study emphasizes the significance of perceived advantages in promoting the adoption of AI in an academic environment while also acknowledging the subtle influence of attitudes toward technology. This resource offers pragmatic insights for educational institutions to effectively promote the usage of artificial intelligence. Although the study's scope is limited to a specific school, which may restrict its applicability to other contexts, it provides valuable insights into the implementation of AI in higher education and proposes avenues for further investigation. These include conducting more comprehensive and long-term studies and considering additional elements that may influence the outcomes.