The utilisation of Artificial Intelligence (AI) in education, particularly in formative assessment, has shown great potential in improving the quality of learning. This research aims to explore the application of AI in formative assessment to improve accuracy, efficiency and personalisation of learning. The type of research used is descriptive quantitative research with an experimental approach. Data sources were obtained from 150 students and 30 teachers in three schools that have implemented AI-based assessment systems. Data were collected through questionnaires, interviews, and analysis of students' academic documents. The results showed that the majority of students and teachers (78% and 82% respectively) felt that AI provided faster and more objective feedback, and increased the personalisation of learning. The use of AI was also shown to speed up the identification of student weaknesses and allow for more timely follow-up. However, it was found that AI still faces challenges in capturing the qualitative aspects of students' answers, especially in tasks that require in-depth analysis. This study confirms that the application of AI in formative assessment can improve the quality of learning, although it requires improvement in the aspects of human interaction and technology readiness. This suggests the need for a more comprehensive strategy in the implementation of AI in educational settings.
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