MODERN EDUCATION AND DEVELOPMENT
Выпуск журнала №-23
Часть–2_ Март –2025
216
AN ALGORITHM FOR DETECTING EYE DISEASES USING
ARTIFICIAL INTELLIGENCE.
Rustamov Anvar Hamza ugli,
Qarshi State Technical University,
Student of the Department of Telecommunication Technologies
Annotation.
This article analyzes the importance of Deep Learning
technologies in education today. Deep learning technologies are an advanced form
of artificial intelligence that can work with large amounts of data. This technology is
widely used to personalize the educational process, provide learning materials
tailored to the needs of students, and develop interactive assistants. Deep learning
methods also help teachers identify student achievement and analyze their learning
activities. However, there are also problems in implementing these technologies, such
as technical shortcomings, data security, and training teachers to work with
technology. The article examines the conditions and opportunities necessary for the
effective use of deep learning technologies in education.
Key words: Deep Learning technologies, education, analytics, data, artificial
intelligence, personalization, educational materials, technical flaws, data security.
Аннотация. В статье анализируется важность технологий глубокого
обучения в образовании сегодня. Технологии глубокого обучения являются
передовой формой искусственного интеллекта, которая может работать с
большими объемами данных. Эта технология широко используется для
персонализации образовательного процесса, предоставления учебных
материалов, адаптированных под потребности учащихся, и разработки
интерактивных помощников. Методы глубокого обучения также помогают
учителям выявлять достижения учащихся и анализировать их учебную
деятельность. Однако существуют и проблемы внедрения этих технологий,
такие как технические недостатки, безопасность данных и обучение учителей
работе с технологиями. В статье рассматриваются условия и возможности,
MODERN EDUCATION AND DEVELOPMENT
Выпуск журнала №-23
Часть–2_ Март –2025
217
необходимые для эффективного использования технологий глубокого обучения
в образовании.
Ключевые слова: технологии глубокого обучения, образование,
аналитика, данные, искусственный интеллект, персонализация, учебные
материалы, технические недостатки, безопасность данных.
Today, the development of technology is bringing about significant changes
in the field of education. The use of new technologies in the teaching and learning
process is improving the quality of education and expanding its accessibility. In
particular, deep learning technologies help make education more effective. The
development of deep learning technologies, as a part of artificial intelligence, is
changing the methodology of education around the world. This article will provide a
detailed analysis of the importance of deep learning technologies in the educational
process and how they are used today.
Deep learning is one of the most advanced forms of artificial intelligence (AI)
technologies and is known as a branch of machine learning. Deep learning algorithms
have the ability to self-optimize and learn, allowing them to make the right decisions
using large amounts of data. In other words, this technology is a way for a program
or system to self-update, improve, and solve problems.
The most common applications of deep learning technologies are in the fields
of facial recognition, speech recognition, nature understanding, and medical
diagnostics. However, in recent years, this technology has also found its place in the
field of education.
Application of deep learning technologies in education. Deep learning
technologies benefit the educational process in several ways: Personalized learning.
With the help of deep learning technologies, it is possible to create learning
processes that are tailored to the individual needs of students. For example, artificial
intelligence-based systems can analyze the reading level of students and help identify
their strengths and weaknesses. After that, it becomes easier for teachers to create
personalized lesson plans. This helps to increase the effectiveness of learning.
MODERN EDUCATION AND DEVELOPMENT
Выпуск журнала №-23
Часть–2_ Март –2025
218
Intelligent assistants. With the help of deep learning technologies, it is
possible to create interactive assistants for students, for example, virtual assistants.
These assistants are used to provide students with quick answers, help with questions,
and support the learning process. They, in turn, make the teacher's work easier.
Helping teachers. Deep learning technologies help teachers assess students
and determine their level of mastery. With the help of artificial intelligence, teachers
can obtain accurate analysis of student changes over time, changes, and successes.
This helps teachers develop effective teaching strategies.
Adaptability of learning materials. The use of deep learning technologies
allows for further customization of learning materials. For example, educational
resources (books, videos, interactive exercises) can be presented in a personalized
form by artificial intelligence. Depending on the interests and needs of students,
learning materials are optimized and improved.
Developments in Online Education. The growth of online education during
the pandemic has accelerated the use of deep learning technologies in education.
Artificial intelligence is being used effectively to improve student participation in
online classes, deliver educational materials, and analyze student learning activities.
This can improve the effectiveness of online education.
Disadvantages of Deep Learning Technologies in Education. While the use of
deep learning technologies in education offers many advantages, there are also some
disadvantages. These include:
Technical glitches and system failures: Deep learning systems can experience
problems such as technical errors or server failures, which can temporarily interrupt
the learning process.
Data privacy and security: The confidentiality of data provided to the systems
by students and teachers may be at risk. Measures are needed to store and protect data.
Limitations on teachers' use of the technology in teaching: Some teachers may
not fully master the use of deep learning technologies, which limits the use of the
technology to its full potential.
MODERN EDUCATION AND DEVELOPMENT
Выпуск журнала №-23
Часть–2_ Март –2025
219
Deep learning technologies are transforming education, providing students
with personalized and effective learning experiences. Their integration into the
educational process can help improve the quality of education, support teachers, and
increase student achievement. However, privacy, security, and technical challenges
need to be addressed to fully benefit from the technology. At the same time, it is
important to develop the knowledge and skills of teachers and students in the
technology for the effective use of deep learning technologies in education
.
REFERECEN:
1.
Raximov N. et al. As a mechanism that achieves the goal of decision
management //2021 International Conference on Information Science and
Communications Technologies (ICISCT). – IEEE, 2021. – С. 1-4.
2.
Daminova B. ACTIVATION OF COGNITIVE ACTIVITY AMONG
STUDENTS IN TEACHING COMPUTER SCIENCE //CENTRAL ASIAN
JOURNAL OF EDUCATION AND COMPUTER SCIENCES (CAJECS). – 2023. –
Т. 2. – №. 1. – С. 68-71.
3.
Benzerara, M., Guedaoura, H., Anas, S. M., Yolchiyev, M., & Daminova, B.
(2024). Advanced Strengthening of Steel Structures: Investigating GFRP
Reinforcement for Floor Beams with Trapezoidal Web Openings. In
E3S Web of
Conferences
(Vol. 497, p. 02013). EDP Sciences.
4.
Esanovna D. B. Modern Teaching Aids and Technical Equipment in Modern
Educational Institutions //International Journal of Innovative Analyses and Emerging
Technology. – Т. 2. – №. 6.
5.
Daminova B. E., Oripova M. O. METHODS OF USING MODERN
METHODS BY TEACHERS OF MATHEMATICS AND INFORMATION
TECHNOLOGIES IN THE CLASSROOM //Экономика и социум. – 2024. – №. 2
(117)-1. – С. 256-261.
6.
Рахимов Н., Эсановна Б., Примкулов О. Ахборот тизимларида мантиқий
хулосалаш самарадорлигини ошириш ёндашуви //International Scientific and
Practical Conference on Algorithms and Current Problems of Programming. – 2023
MODERN EDUCATION AND DEVELOPMENT
Выпуск журнала №-23
Часть–2_ Март –2025
220
7.
Даминова
Б.
Э.
СОДЕРЖАНИЕ
ПРОФЕССИОНАЛЬНОГО
ОБРАЗОВАНИЯ И ТЕНДЕНЦИИ ЕГО ИЗМЕНЕНИЯ ПОД ВЛИЯНИЕМ
НОВЫХ СОЦИАЛЬНО-ЭКОНОМИЧЕСКИХ УСЛОВИЙ //Yosh mutaxassislar.
– 2023. – Т. 1. – №. 8. – С. 72-77.
8.
Zarif o‘g‘li K. F. CREATING A TEST FOR SCHOOL EDUCATIONAL
PROCESSES IN THE ISPRING SUITE PROGRAM //BOSHLANG ‘ICH
SINFLARDA O ‘ZLASHTIRMOVCHILIKNI. – С. 84.
9.
O‘G‘Li K. F. Z. CREATING A TEST FOR SCHOOL EDUCATIONAL
PROCESSES IN THE ISPRING SUITE PROGRAM //Yosh mutaxassislar. – 2023.
– Т. 1. – №. 8. – С. 84-87.
10.
Kaynarov F. Z. THEORETICAL FOUNDATIONS FOR THE CREATION
OF ELECTRONIC TEXTBOOKS FOR DISTANCE EDUCATION //Экономика и
социум. – 2024. – №. 2-2 (117). – С. 169-175.
11.
Kaynarov
F.
APPLICATION
OF
MODERN
INFORMATION
TECHNOLOGIES IN MEDICINE //International Scientific and Practical Conference
on Algorithms and Current Problems of Programming. – 2023.
12.
Кайнаров Ф. З. ИННОВАЦИОННЫЕ МЕТОДЫ ПРЕПОДАВАНИЯ
ПРИКЛАДНОЙ МАТЕМАТИКИ //Экономика и социум. – 2023. – №. 1-2 (104).
– С. 619-622.
13.
Кувандиков
Ж.,
Даминова
Б.,
Хафизадинов
У.
АВТОМАТЛАШТИРИЛГАН
ЭЛЕКТРОН
ТАЪЛИМ
ТИЗИМИНИ
ЛОЙИҲАЛАШДА ЎҚУВ ЖАРАЁНИНИ МОДЕЛЛАШТИРИШ //International
Scientific and Practical Conference on Algorithms and Current Problems of
Programming. – 2023.
14.
Даминова Б. Э. Сравнительный анализ состояния организации
многоуровневых образовательных процессов //Экономика и социум. – 2023. –
№. 1-2 (104). – С. 611-614.
15.
Daminova B. Algorithm of education quality assessment system in secondary
special education institution (on the example of guzor industrial technical college)
MODERN EDUCATION AND DEVELOPMENT
Выпуск журнала №-23
Часть–2_ Март –2025
221
//International Scientific and Practical Conference on Algorithms and Current
Problems of Programming. – 2023.
16.
Daminova B. FORMATION OF THE MANAGEMENT STRUCTURE OF
EDUCATIONAL PROCESSES IN THE HIGHER EDUCATION SYSTEM
//Science and innovation. – 2023. – Т. 2. – №. A6. – С. 317-325.
