Authors

  • Makhamadov Rustam Khabibullayevich
    Independent researcher, senior lecturer Department of Digital Technologies and Information Security, Academy of the Ministry of Internal Affairs, Uzbekistan
  • Djamatov Mustafa Khatamovich
    Senior Lecturer, Department of Digital Technologies and Information Security, Academy of the Ministry of Internal Affairs, Uzbekistan

DOI:

https://doi.org/10.37547/ajast/Volume05Issue02-13

Keywords:

Intelligent systems (IT) modern intelligent systems (MITs) algorithm

Abstract

This article provides information on the status, functions, technologies and development trends of modern intelligent systems. It also analyzes the advantages and disadvantages of intelligent systems, as well as the types and areas of application of intelligent systems.


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American Journal of Applied Science and Technology

52

https://theusajournals.com/index.php/ajast

VOLUME

Vol.05 Issue02 2025

PAGE NO.

52-55

DOI

10.37547/ajast/Volume05Issue02-13



Modern intellectual systems: status, functions,
technologies and development tendencies

Makhamadov Rustam Khabibullayevich

Independent researcher, senior lecturer Department of Digital Technologies and Information Security, Academy of the Ministry of
Internal Affairs, Uzbekistan

Djamatov Mustafa Khatamovich

Senior Lecturer, Department of Digital Technologies and Information Security, Academy of the Ministry of Internal Affairs, Uzbekistan

Received:

24 December 2024;

Accepted:

26 January 2025;

Published:

28 February 2025

Abstract:

This article provides information on the status, functions, technologies and development trends of

modern intelligent systems. It also analyzes the advantages and disadvantages of intelligent systems, as well as the
types and areas of application of intelligent systems.

Keywords:

Intelligent systems (IT), modern intelligent systems (MITs), system, model, algorithm, artificial

intelligence, machine learning, technology, education.

Introduction:

Modern intelligent systems (MITs) are

currently widely used in many areas, including
education, healthcare, industry and others. They are
systems that include artificial intelligence (AI)
technologies and are an effective tool for analyzing
data, making decisions and implementing automated
processes. The role of MITs in the field of education is
of special importance, because they help to make the
educational process more effective and personalized.
The use of MITs in the educational system creates new
opportunities aimed at improving their teaching and
learning

processes.

For

example,

there

are

opportunities to adapt teaching methods, support
teachers and increase the effectiveness of education,
taking into account the individual characteristics of
students in the learning process. At the same time, the
development and further improvement of MITs
technologies further enhances their role and
importance in the teaching and learning processes.
This article provides detailed information about the
current state of modern intelligent systems, the
functions they perform, their technologies and
development trends. The importance of MITs in the
educational system, their role in the optimization of
teaching and learning processes, as well as their future
development prospects are analyzed.

METHODOLOGY

There is a large div of literature on the use of MITs in
education. While Siemens's theory of "Connectivism"
emphasizes the network of information in education,
the work of Davenport and Harris develops an
analytical approach. Other authors, in particular Woolf
and Roll, propose approaches aimed at creating
intelligent teachers and providing interactive learning
systems.
MITs provide the opportunity to individually support
students in the learning process, which is important for
making education effective and personalized. At the
same time, there are opportunities for collaboration
between systems, sharing resources and improving
teaching strategies through the network. Through the
ability to share knowledge through the network,
monitor student performance and provide individual
assistance to teachers, MITs provide more effective
solutions in education.
In addition, MITs can be used at all stages of education,
including interactive learning for students, support for
teachers and data-based decision-making. During the
development of MITs, new technologies, algorithms
and systems make the teaching process more efficient.
Below, we will review the status of MITs, their main
functions, technologies, and development trends.


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American Journal of Applied Science and Technology (ISSN: 2771-2745)

The state of intelligent systems. Today, intelligent
systems are developing in the following main
directions:

• Artificial Intelligence (AI)

-based systems: Play a key

role in data processing and decision-making.

• Mechanical engineering and robotics: Used to control

automated production processes.

• Educational systems: Aimed

at creating an individual

approach and flexible learning paths.

• Healthcare systems: Enables automation of

diagnostic, treatment, and prevention processes.

• Financial services: Used in fraud detection, customer

service, and credit risk assessment.
Main functions of intelligent systems. Intelligent
systems perform the following main functions:

• Data collection and processing: Creating useful

analyses based on large amounts of data (Big Data).

• Decision

-making: Making optimal decisions in specific

situations without human assistance.

• Interactive communication with the user: The ability

to interact with the system through natural language
processing and voice commands.

• Problem solving: The ability to spontaneously suggest

solutions to problematic situations.

• Automation: Increasing efficiency by automating

daily operations and processes.
Technologies that are used in intelligent systems.
Modern intelligent systems operate on the basis of the
following technologies:

• Artificial intelligence and machine

learning: Enables

learning independently from data.

• Natural Language Processing (NLP): Used for

processing text and speech.

• Computer vision: Processing and recognition of visual

information.

• Robotics: Used for controlling automated systems.

• Big dat

a analysis (Big Data): Effective analysis of large

data sets.

• Cloud computing technologies: Used for fast

implementation of data storage and processing
processes.
Trends in the development of intelligent systems. The
following main directions are observed in the
development of intelligent systems:

• Autonomous decision

-making systems: Creating the

ability to work with minimal human intervention.

• Real

-time data analysis: The ability to process rapid

data streams.

• Cloud technologies: A convenient operating

environment for intelligent systems.

• Cybersecurity: Technologies to ensure data

protection.

• Network collaboration: The ability of multiple

systems to work together.

• Development of decision

-making systems: The ability

to make more accurate and optimal decisions using
artificial intelligence.
Benefits of using intelligent systems:

• Increased efficiency: Save time and resources

through automated systems.

• Accuracy and reliability: Reduce human errors.

• Cont

inuous monitoring: Continuously monitor and

optimize processes.

• Interoperability: Flexible structures for use in

different industries.
Challenges of implementing intelligent systems:

• Technological complexity: The complexity of

integrating new technologies.

• Human resources: Lack of qualified specialists to

manage intelligent systems.

• Security issues: Data protection and privacy issues.

• Technical infrastructure: Increased resource and

technical requirements required for new systems.

• Legal issues:

Privacy and ethical issues related to the

use of intelligent systems.

RESULTS

According to the results of the research, the
development, creation and use of "Intelligent Systems"
for various industries accelerates the development of
these industries. For example, in the field of education,
an objective evaluation of the acquired knowledge and
mastery of a new topic of science, receiving
recommendations from the system on which topics to
improve knowledge in the future, and the production
of high-quality, intellectual potential mature personnel
and specialists in these selected fields will increase by
70-80%. In addition, transparency in mutual relations,
the feeling of relying on one's own knowledge and
strength in students, as well as recognition of
familiarity and corruption situations are ensured. In
other fields, the use of these systems is also
emphasized by scientists and experts, which automates
labor activities and increases efficiency indicators.

DISCUSSION

The use of modern intelligent systems in education
creates great opportunities, but there are different
opinions about the effectiveness of these systems and
their role in the educational process. This section
analyzes the positive and negative aspects of the
introduction of intelligent systems into the educational
process, as well as future development prospects.
Positive aspects: Personalized learning: MITs allow you
to personalize the learning process, taking into account
the individual characteristics of students. With the help
of artificial intelligence, students' learning styles, pace
and interests are identified, and customized
educational materials and strategies are offered to
teachers. This makes the learning process effective and
provides suitable solutions for each student.
Data-driven decision-making: MITs collect data from


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American Journal of Applied Science and Technology

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American Journal of Applied Science and Technology (ISSN: 2771-2745)

the educational process and use it to make effective
decisions. They have the ability to analyze student
activity, track results, and provide timely support. This
allows teachers to optimize their work and improve
student development.
Teacher support: MITs help teachers improve their
work. They are used to analyze teaching methods,
select effective methods, and provide individual
support to students. This helps to reduce the workload
of teachers and improve their participation in the
educational process.
Cons: Overreliance on technology: Some experts argue
that the introduction of MITs into the educational
process can lead to an overreliance on technology. In
this case, the role and expertise of teachers may be
reduced, and the role of personal communication may
be lost. The complete replacement of the role of
teachers by technology can lead to a lack of human
aspects in education.
Security and Privacy of Personal Data: MITs often
collect personal data of students. The security and
privacy of this data can pose serious risks to education
systems. Without proper regulations and laws in place
regarding personal data and how it is used, this can
increase distrust in these systems.
Integration and limited access to resources: Full
integration of modern intelligent systems (MITs) into
the education system requires a high level of
technological infrastructure and qualified personnel.
The resources required for the effective use of MITs in
all educational institutions are not available
everywhere. Also, the use of MITs in developing
countries may be limited, as the technological
infrastructure and education system are still not up to
the mark.
Future development prospects:
Integration of modern technologies: With the further
development of artificial intelligence and machine
learning technologies, the use of modern intelligent
systems (MITs) in education will expand even further.
With their help, the teaching process can be organized
in an effective and globally personalized way. Also, new
technologies such as virtual and augmented reality
(AR/VR) can be integrated into educational systems,
creating a more interactive and engaging learning
environment for students.
The new role of teachers: The development of modern
intelligent systems (MITs) is changing the role of
teachers and their pedagogical strategies. Teachers will
focus more on tasks such as advising, motivating
students, and solving complex problems. This, in turn,
will increase the professional skills of teachers and
further improve the quality of education.
Development of appropriate normative and ethical
principles: For the successful use of modern intelligent

systems in education, new ethical, legal, and security
principles must be developed. It helps to ensure
transparency of systems, strengthen protection of
personal information and ensure fairness in education.

CONCLUSION

In conclusion, modern intelligent systems are making
major changes in various areas of human life. As a
result of their development and introduction, the
processes are becoming more efficient, accurate and
interactive. At the same time, technological complexity
and security issues remain a pressing issue in this field.
In the future, intelligent systems will develop further
and become an integral part of human life. Modern
intelligent systems have the potential to create great
changes in the educational system, but for them to
work effectively, several issues need to be resolved.
The integration of technology into the educational
process offers many advantages, but its negative
aspects must also be taken into account. In the future,
these systems will play an important role in supporting
teachers and making education more effective, but it is
important to create the necessary resources and
regulatory documents for their development.

REFERENCES

Russell S., Norvig P. Artificial Intelligence: A Modern
Approach Third Edition. 2011.
Woolf B.P.. Building Intelligent Interactive Tutors:
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Schwab K. The Fourth Industrial Revolution. Crown
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ta’lim

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Maxamadov R.X.. Harbiylashtirilgan oliy ta’lim
muassasalarida ta’lim jarayonini tashkil

etishda

intellektual o‘qitish tizimining modellari

va algoritmlari. Qurolli kuchlar tizimida suniy intellektni


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American Journal of Applied Science and Technology

55

https://theusajournals.com/index.php/ajast

American Journal of Applied Science and Technology (ISSN: 2771-2745)

qo‘llash istiqbollari va yechimlari. 2024

References

Russell S., Norvig P. Artificial Intelligence: A Modern Approach Third Edition. 2011.

Woolf B.P.. Building Intelligent Interactive Tutors: Student-Centered Strategies for Revolutionizing E-Learning.2010.

Schwab K. The Fourth Industrial Revolution. Crown Business. 2017.

Davenport T. H., Harris J.G.. "Competing on Analytics: The New Science of Winning. 2007.

Baker R. S. J. D., Yacef K.. The State of Educational Data Mining in 2009: A Review and Future Visions. 2009.

Maxamadov R.X.. Sun’iy intellekt texnologiyalari va uning ta’lim tizimlaridagi o‘rni. Лучшие интеллектуальные исследования, Часть-12, Том-3, 107-112-b.. 2024.

Siemens G.. Connectivism: A Learning Theory for the Digital Age.2005.

Roll I., Baker R. S. J. D. Toward an Architecture for Intelligent Learning Systems. 2005.

Holmes W., Bialik M., Fadel C.. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. The Center for Curriculum Redesign. 2019.

Mitchell M. Artificial Intelligence: A Guide for Thinking Humans. Farrar, Straus and Giroux. 2019.

Rivas J., Perez A. Intelligent Learning Systems in Higher Education: Challenges and Opportunities. International Journal of Educational Research, 116, 110-122. 2021.

Maxamadov R.X.. Harbiylashtirilgan oliy ta’lim muassasalarida ta’lim jarayonini tashkil etishda intellektual o‘qitish tizimining modellari

va algoritmlari. Qurolli kuchlar tizimida suniy intellektni qo‘llash istiqbollari va yechimlari. 2024