Abstract
The global educational community is undergoing an active transformation associated with introducing digital technologies, artificial intelligence, and machine learning. This study was conducted at the stage of designing an adaptive platform for higher education to identify the attitudes and requirements of students to the use of artificial intelligence technologies in personalized learning environments. The analysis of the results of the survey of 657 students from 6 leading universities of the Republic of Kazakhstan demonstrated the readiness of students to use in the educational process an adaptive platform for personalization of learning in profile disciplines. Most respondents (56.2%) believe that the use of artificial intelligence technologies can increase individualization and improve learning performance. Students (43%) believe that it would be convenient to use an adaptive platform of the university in the learning process, as it is an adaptive platform based on artificial intelligence that allow to dynamically adjust the level of complexity of educational materials to the progress of an individual student. At the same time, many students (38%) believe that a free neural network for preparing texts (lecture or seminar notes) or a neural network for preparing presentations (35%) would be sufficient in the educational process. The results of the study allowed us to clarify the requirements for the developed subsystem “Student” of the adaptive educational platform, as well as the mechanism of personalization of the learning process.