Abstract
Generative Artificial Intelligence (GenAI) refers to Artificial Intelligence (AI) systems that create new content, such as text, images, and audio, by leveraging large datasets and advanced machine learning models. Particularly in the educational sector, Generative artificial intelligence has revolutionized classroom assessment practices by enabling the creation of personalized, adaptive, and diverse assessment formats. These artificial intelligence-driven tools generate assessment items such as multiple-choice questions, essay prompts, and problem-solving tasks tailored to individual student needs. This paper explores the impact of generative artificial intelligence on classroom assessments, highlighting its ability to provide adaptive assessments, reduce cheating risks, and offer real-time feedback. By examining the opportunities generative artificial intelligence presents, the paper discusses practical applications, strategies for implementation, and methods to involve students in artificial intelligence-enhanced assessment design. The discussion culminates with suggestions for future directions in leveraging generative artificial intelligence to optimize classroom assessments and improve learning outcomes.