Adaptive learning has the potential to provide effective and efficient teaching of university students, preparing them to become highly qualified professionals. By considering current achievements along with the individual characteristics of students, it allows for the organization of the learning process in an optimal way. As a result of adaptive learning, students acquire all the knowledge and skills outlined in the study program. This paper proposes a multiplicative model that takes into account the maximum, minimum and optimal levels of student’s learning proficiency in the implementation of adaptive learning. The proposed model enables prediction the level of learning proficiency and adapts the learning process based on the individual characteristics of each student. The research results have significant theoretical and practical importance for the implementation of adaptive learning in universities and improving the efficiency and objectivity of the educational process.