Integrating artificial intelligence systems in lecture sessions for students today: challenges in material preparation

Abstract

The structure of the article includes the analysis of recent research and publications. It highlights key tasks and objectives, presents research findings, and discusses them in the form of generalized conclusions. The study aims to characterize the features of integrating artificial intelligence systems into lecture sessions for students. The main task is to identify and characterize the key challenges facing the preparation of materials for such sessions. Modern challenges and developmental directions in teaching, driven by globalization, individualization of learning, and the need for optimization of educational processes, are characterized. The importance of artificial intelligence in solving complex educational tasks and personalizing the educational process is determined. Methods. Main technical and pedagogical challenges associated with the implementation of artificial intelligence in education are characterized, including the need to adapt educational materials and prepare instructors. It is proven that artificial intelligence helps instructors manage large volumes of information more effectively and develop adaptive educational strategies. Innovative technologies are shown to deepen students' understanding of educational material, providing a more personalized and motivating learning experience. The prospects for further research in the use of artificial intelligence in education are characterized, with a particular focus on ethical, technical, and methodological aspects that require in-depth analysis and development. Artificial intelligence is established to play a key role in the automation of educational processes, including the preparation of personalized educational materials and the adaptation of education for students with special needs and from remote regions. Results. The analytical capabilities of artificial intelligence are determined to enhance the effectiveness of education, particularly through adapting teaching to the individual educational needs of students. It is proven that integrating artificial intelligence into the educational process facilitates the development of new teaching methodologies, reduces administrative and technical burdens on instructors, and focuses their attention on educational and methodological aspects of teaching. Conclusions. The potential of artificial intelligence to optimize the educational process is characterized, emphasizing its capability for innovation in the preparation of lecture materials and interactive engagement. The integration is shown to promote more effective learning, ensuring access to education for a broader range of students. Key challenges in the preparation of lecture materials when integrating artificial intelligence systems are identified.