The issue of higher education examinations, particularly oral examinations, has been addressed in numerous studies as early as the 1970s. Both Hungarian and international experts in educational science drew attention to a number of questions concerning higher education, including the problems related to assessment. This topic has remained a key area of inquiry in higher education, and in recent times it has become an acute issue again, particularly with the rise of objective assessment methods and the opportunities offered by computerbased testing. The aim of our study is to present: the application of AI in the learning process of the subject of Didactics, in students' preparation for examinations; the areas of student use and their opinions regarding the learning of Didactics; and the experiences drawn from the analysis of exam results and exam outlines. Our research methods include literature review, the use of artificial intelligence support, student questionnaires, and the analysis of exam outlines.