Plot, difficulties and solutions of study questions of artificial intelligence at universities of Ukraine

Abstract

Teaching artificial intelligence (AI) at universities faces a number of certain difficulties. First of all, the rapid pace of development of this direction requires constant updating of training programs and existing equipment (materials). The insufficient number of qualified teachers in the field of artificial intelligence is also a problem. To solve these problems, it is important to attract teachers with practical experience in this field, as well as to develop professional training programs for academic staff. In addition, cooperation with industrial and scientific institutions can provide students with access to relevant knowledge and practical experience. The development of interactive educational materials and the use of the latest technologies, such as virtual reality or game platforms, can increase the effectiveness of teaching artificial intelligence. Such approaches will contribute to the training of qualified specialists capable of meeting the challenges of the modern labor market. An additional problem is the heterogeneity of the level of training of students studying the topic of artificial intelligence. This is a challenge for teachers, who must ensure effective learning for all students, regardless of their previous training and knowledge of the topic. To overcome this, you can use an individual approach to each student, as well as organize additional classes for those who need additional help. The development of systems of adaptive learning and effective control of knowledge can also contribute to solving this problem. In general, innovative teaching approaches aimed at combining academic knowledge with practical experience and individualizing learning can provide more effective teaching of artificial intelligence at universities. Also a problem is the lack of resources to support infrastructure and laboratory workshops on artificial intelligence. This limits opportunities for students to gain hands-on experience with artificial intelligence tools and methods. To solve this problem, it is necessary to attract additional financial resources through cooperation with industrial partners, grant organizations, donors, etc. The development of virtual labs and online resources can also provide access to the necessary equipment and materials for AI training, even when physical resources are limited.