Application of Artificial Intelligence in Visual Resource Construction for Test Repository

Addressing the prevalent challenges of time-consuming searches for visual resources online and the inefficiency of relying solely on image correlation searches during the test item design process, this paper explores how to make the best use of the state-of-the-art tool of generative artificial intelligence to enhance the work efficiency of educators and expedite the systematic construction of visual resources for test repository. Combined with teaching practice, this paper delineates the application process, potential pitfalls and strategic solutions, advocating for the proactive adoption of generative artificial intelligence to ensure that technology serves as a catalyst for teaching excellence.