Author research interest is using AI tools in learning in any field connected with education. In this study proposes the idea of how to make the educational process more flexible in the post-pandemic period using the Artificial Intelligence (AI) technologies. Machine learning algorithms are used to solve this task, which will make the learning process more efficient and objective. Along with this, it will be adjusted to the ability of each student and will make the work of the teacher easier. In this study the Author reviews all teaching methods. After the COVID-19 era, hybrid and online teaching methods are a new challenges in educational institutions, representing a more acceptable form of teaching worldwide. In this study considerable optimism around the idea that, as AI becomes a more integral part of the classroom, teachers will be better equipped to offer an individualized learning experience for every student. Along with online learning, hybrid teaching methods have become established at leading universities around the world. Hybrid teaching is still a necessary trend in the future teaching reform base on its multiple advantages. However, in order to improve the teaching outcomes, students participation and learning initiatives, it is imperative to undertake additional reforms in the future teaching process.

Keywords - Education Process, Modern Teaching Methods, Artificial Intelligence, Machine Learning Algorithm, Era of Globalization

[1] I. Abuladze, I. Megrelishvili. The role of artificial intelligence for the effectiveness of the educational process. International Scientific and Practical Conference "Innovations and Modern Challenges 2022" dedicated to the 100th anniversary of the Georgian Technical University and the 65th anniversary of the Faculty of Informatics and Control Systems. Tbilisi, Georgia, 2022.

[2] N. Hotara, M. A. Özcanb, B. Baranc, E. Karagözd, L. Ö. Güneye. Face-to-Face, Online or Hybrid, Which Model is Preferred by University Students and Why?
Journal of Learning and Teaching in Digital Age, 8(2), 2023, pages 1799-180. https://dergipark.org.tr/en/pub/joltida, ISSN: 2458-8350 (online).

[3] https://www.sciencedirect.com/science/article/pii/S2666920X2100014X

[4] I. Abuladze. Programming Language Python. Technical University, Tbilisi, Georgia, 2021.
ISBN 978-9941-28-856-2 (online).

[5] https://www.ucl.ac.uk/news/2020/mar/opinion-ai-education-will-help-us-understand-how-we-think.

[6] E. M. Onyema , Kh. K. Almuzaini , F. U. Onu, D. Verma, U. S. Gregory, M. Puttaramaiah , R. K. Afriyie. Prospects and Challenges of Using Machine Learning for Academic Forecasting. Hindawi, Computational Intelligence and Neuroscience, 2022.

[7] https://onlinedegrees.sandiego.edu/artificial-intelligence-education