The Role of Adaptive Technologies Based on Artificial Intelligence in Modern Education Baxromova Iroda Iftixorjon qizi

Аннотация

This article analyzes the importance, advantages and limitations of the use of adaptive learning technologies in the modern educational process. Various practical applications of these technologies are also discussed, including language learning platforms, mathematical problem-solving systems, and opportunities for students with special needs. Keywords: Adaptive educational systems, Artificial intelligence, personalized education, technological infrastructure, data analysis, educational process. potential to bring enormous benefits, from productivity Introduction: Modern educational systems widely use and efficiency gains to advances in science and technologies to increase the effectiveness of the innovation. In turn, it is necessary to increase the educational process. In particular, Artificial Intelligence number of qualified personnel to introduce artificial (AI) technologies occupy a significant place in adaptive intelligence to science. After all, experts who are education systems. This article analyzes the masters of their profession will be the main factor in importance, advantages and possibilities of practical the penetration of Artificial Intelligence into all areas. application of adaptive education systems. In recent years, extensive reforms have been implemented in all METHODS areas in our country. In particular, recognizing the great Adaptive educational systems are systems that adapt importance and potential of artificial intelligence (AI) educational materials to the needs, level of knowledge technologies, special attention is paid to their and learning styles of students. These systems create a development. comfortable learning environment for each student by Today, there is a set of circumstances that make it personalizing the educational process. SI technologies necessary to learn to adapt to the individual needs of allow analyzing a large amount of data and making students. Language skills, prior knowledge and quick decisions in this process. Adaptive educational experiences, and learning difficulties create a diversity systems are systems that adapt educational materials of learning needs. to the needs, level of knowledge, interests and preferences of students. These systems use Artificial Until recently, we focused on bringing technology into Intelligence (AI), machine learning and Big Data analysis the classroom. By now, the question has shifted to technologies to personalize the learning process. The whether technology should be in the classroom or main goal is to create an individual study plan for each whether it should be a requirement for every student. student and improve their educational experience. These factors have created the perfect environment for the development of flexible learning, leading to a Adaptive learning in education is a form of learning in critical look at the classroom resources needed for which a student is first diagnosed, and then a program individualized access to each student. determines a learning path tailored to their individual needs. Elements of adaptive learning are consistent In the era of growing technological development, across all programs. Artificial Intelligence is becoming the main factor affecting the development of various spheres of life. It Diagnostics determines the starting point for each is recognized that these technologies have the student. There are different ways to assess what a International Journal of Pedagogics 98 https://theusajournals.com/index.php/ijp International Journal of Pedagogics (ISSN: 2771-2281) student knows or doesn't know: with additional resources, referrals and advice. • Pretest the student. The level of achievement of students who used adaptive learning systems based on artificial • A flexible placement program to assess students' intelligence was significantly higher than that of needs from a common point of view and determine students who used traditional education methods: what they need over time based on how they answer questions. Level of knowledge: The results of tests and exams After the diagnosis, the system creates a personalized conducted among students showed that the group that learning path for each student. It usually consists of two used Artificial Intelligence systems was higher. This components: means that students acquire knowledge more deeply and widely. 1. A "learning" component that introduces a concept or reinforces what has already been taught by the Overcoming difficulties: Artificial intelligence teacher. systems have helped students overcome difficulties 2. A 'practice' component, usually consisting of a range through an individualized approach. This increased of interactive element types, checks what the student students' confidence in the educational process. has understood and provides support for students Motivation: The motivation and interest in the independently of the teacher. learning process of students who received education The goal is to attract students to effective