Authors

  • Xolmurodov Behzod Botir o‘g‘li
    Bukhara State University doctoral student, Uzbekistan

DOI:

https://doi.org/10.37547/ajast/Volume05Issue07-13

Keywords:

Artificial intelligence independent learning digital pedagogy

Abstract

This article systematically analyzes the need to organize independent learning of students based on artificial intelligence (AI) technologies, organizational and technical conditions, existing platforms, problems and solutions. First of all, the need to introduce AI tools is justified based on the limitations of traditional education, the need to increase student activity and the need for personalized education. Harmonizing curricula with AI technologies, increasing teachers' digital literacy, developing methodological manuals and forming monitoring systems are identified as the main organizational conditions. Also, provision of technically modern ICT, access to AI platforms, electronic libraries and the presence of stable Internet are considered as important infrastructures for effective independent learning. The article briefly analyzes learning platforms based on local and foreign practical experience and shows their functional capabilities. At the same time, problems such as technological inequality, low level of training, financial and legal restrictions and specific solutions to eliminate them are proposed. Finally, methodological, technical, and strategic recommendations are presented to increase the effectiveness of independent learning using AI. This article serves as a scientific, theoretical, and practical basis for the formation of a digital learning environment based on artificial intelligence in the education system of Uzbekistan.


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American Journal of Applied Science and Technology

76

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

VOLUME

Vol.05 Issue 07 2025

PAGE NO.

76-81

DOI

10.37547/ajast/Volume05Issue07-13



Organizational and Technical Conditions for
Establishing Students' Independent Learning with The
Help of Artificial Intelligence

Xolmurodov Behzod Botir o‘g‘li

Bukhara State University doctoral student, Uzbekistan

Received:

31 May 2025;

Accepted:

29 June 2025;

Published:

31 July 2025

Abstract:

This article systematically analyzes the need to organize independent learning of students based on

artificial intelligence (AI) technologies, organizational and technical conditions, existing platforms, problems and
solutions. First of all, the need to introduce AI tools is justified based on the limitations of traditional education, the
need to increase student activity and the need for personalized education. Harmonizing curricula with AI
technologies, increasing teachers' digital literacy, developing methodological manuals and forming monitoring
systems are identified as the main organizational conditions. Also, provision of technically modern ICT, access to AI
platforms, electronic libraries and the presence of stable Internet are considered as important infrastructures for
effective independent learning. The article briefly analyzes learning platforms based on local and foreign practical
experience and shows their functional capabilities. At the same time, problems such as technological inequality,
low level of training, financial and legal restrictions and specific solutions to eliminate them are proposed. Finally,
methodological, technical, and strategic recommendations are presented to increase the effectiveness of
independent learning using AI. This article serves as a scientific, theoretical, and practical basis for the formation of
a digital learning environment based on artificial intelligence in the education system of Uzbekistan.

Keywords:

Artificial intelligence, independent learning, digital pedagogy, learning platforms, technological

inequality, organizational conditions, educational technologies, e-learning, digital literacy, AI in education,
monitoring system.

Introduction:

The development of artificial intelligence (AI)
technologies is leading to fundamental changes in the
field of education. AI technologies provide
opportunities for individualizing the learning process,
creating a learning environment adapted to the needs
of students, and optimizing the learning process. In
particular, as a result of the widespread use of
information technologies, students have the
opportunity to independently develop their
knowledge and skills through electronic learning
platforms and virtual assistants. The Law of the

Republic of Uzbekistan “On Education” states that
“the organization of the educational process using

modern

information

and

communication

technologies is an important condition for improving

the quality of education”[1]. As a result, the efficiency

of the educational process increases, and students
begin to master knowledge more deeply and
independently.

The concept of independent learning has become an
important component of the modern education
system today. Independent learning is the individual
development of a student's knowledge, skills and
competencies, in which he or she acquires knowledge
on the basis of an active, initiative and creative
approach.

The relevance of this article is explained by the need
to identify the organizational and technical aspects of
using artificial intelligence technologies in organizing
independent learning of students. The purpose is to
study the organizational and technical conditions for


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the effective organization of independent learning of
students using AI, analyze existing opportunities and
develop practical recommendations. The modern
education system is undergoing fundamental changes
under the influence of rapidly developing
technologies, especially solutions based on artificial
intelligence (AI). Such changes are mainly due to the
need to find solutions to existing limitations in the
traditional

education

system.

In

traditional

education, the teacher is in the center, and students
often participate as passive listeners. This reduces the
effectiveness

of

learning

and

hinders

the

development of independent thinking and innovation
skills [2]. In addition, the implementation of lessons
based on a strict schedule, a generalized approach
without taking into account the level of knowledge of
each student, also hinders the individualization of the
learning

process

[3].

Artificial

intelligence

technologies are emerging as an effective tool to
prevent these shortcomings. First, SI tools allow
students to form an educational path that is
appropriate for each student's level of knowledge,
learning speed, and interests by providing an
individual approach [4]. This, in turn, leads to
increased student engagement in the learning
process. For example, adaptive learning platforms or
intelligent tutoring systems facilitate the learning
process by delivering the necessary knowledge to the
student in a prescribed manner and step by step [5].
Secondly, systems built on the basis of SI stimulate
students' interest in learning through interactive
tools, virtual environments and communication
technologies, increasing their activity. This develops
not only the student's knowledge, but also his critical
thinking, creative approach and independent
problem-solving skills [6]. A personalized approach to
education is becoming increasingly relevant.
Organizing education that meets the specific didactic
needs of each student can only be implemented
through artificial intelligence technologies. With the
help of SI, educational materials are automatically
updated and presented based on the previous level of
knowledge of each user, which dramatically increases
the effectiveness of learning [7]. Increased
personalization in education, in turn, increases
motivation for learning among students, which makes
the transition to independent learning a natural and
effective process [8].

To successfully organize independent learning using
artificial intelligence (AI), it is necessary to create a
number of important organizational conditions in
educational institutions. First of all, by combining
curricula with modern AI tools, it is possible to digitize
and automate the content of education. This requires

not

only

the

introduction

of

information

technologies, but also a revision of the
methodological approach to teaching. Integrated
curricula not only equip students with knowledge, but
also prepare them to act independently in a digital
environment [9]. The level of digital literacy of
teachers is one of the decisive factors in the
implementation of AI-based education. Many
teachers have only basic skills in using information
technologies and face difficulties in working with
advanced AI platforms. Therefore, it is necessary to
introduce systematic training courses for teachers
aimed at professional development, including
practical training and virtual laboratories [10]. This, in
turn, reduces the gap between the teacher and
technology. Another important aspect is the
systematic development and wide dissemination of
methodological guides and instructions on the use of
AI tools. Practical guides adapted to each subject
clearly explain to teachers and students how to use
artificial

intelligence

systems,

their

didactic

advantages and application scenarios. This eliminates
disparities in the use of technologies and forms a
unified approach to the learning process [11]. In
addition, it is necessary to establish monitoring and
analytical tracking systems for effective management
of education based on AI. Analytical platforms
operating in real time allow you to monitor student
activity, the level of completion of tasks, knowledge
acquisition indicators and individual growth [12].
Such systems, in particular, increase the transparency
of the educational process and help management
bodies make informed decisions. Long-term
monitoring will determine the real effectiveness of AI-
based learning tools and improve educational
strategies in the future [13]. Thus, for the
development of independent learning with the help
of artificial intelligence, it is of strategic importance to
harmonize educational plans with AI, develop digital
skills of teachers, develop methodological resources,
and implement educational monitoring systems, all of
which must be organized in a comprehensive manner.

The technical conditions necessary for the effective
implementation of independent learning based on
artificial intelligence require the development of
educational infrastructure in accordance with
modern requirements. First of all, educational
institutions must be sufficiently equipped with
modern

information

and

communication

technologies (ICT). Classrooms equipped with
personal computers, tablets, smart boards, and other
digital devices support the independent work of
students and expand the possibilities of interactive
learning [14]. The presence of such a technological


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infrastructure is especially important in the practical
implementation of digital pedagogy elements.

Free and convenient access of students to modern
artificial intelligence platforms - ChatGPT, Khanmigo,
Squirrel AI, Duolingo Max, etc. - expands their
technical capabilities for independent learning.
Through these platforms, a student can deepen his
knowledge, get answers to questions in real time, do
exercises, and perform tasks ranging from language
learning to complex analysis [15]. In many cases, such
systems provide an individual approach based on
artificial intelligence, adapting educational materials
to the needs of the student [16].

Another important technical condition is the
presence of an electronic library, LMS (Learning
Management System), and networked (cloud)

educational systems. Electronic libraries do not tie
students to printed literature, but provide real-time
access to global knowledge resources. The LMS serves
not only as a system for distributing and collecting
tasks, but also as a tool for monitoring, evaluating,
and analyzing student learning activities [17].
Platforms such as Moodle, Canvas, and Google
Classroom provide seamless management and
transparency of the learning process. Cloud services
provide access to all learning materials from any
device. In addition, internet speed and stability are of
particular importance as the technical basis for
independent learning. If the internet speed is low or
there are frequent interruptions, timely access to
learning materials, online training, etc.

Figure 1. SI-based learning platforms and their main areas.

Among the AI-based learning platforms that are
currently

widespread

worldwide,

ChatGPT,

Khanmigo, Squirrel AI, Duolingo Max, Carnegie
Learning, Century Tech, and Knewton Alta deserve
special attention. For example, ChatGPT acts as a

multifunctional tutor by answering students’

questions in real time, explaining topics, analyzing
texts, and assisting with translation and writing [20].

Khanmigo is Khan Academy’s AI assistant; it asks

students questions and guides them in their thinking,
which encourages independent thinking [21]. Squirrel
AI, developed in China, analyzes the knowledge level
of each student based on big data and forms an
individual learning plan [22]. Duolingo Max is a
platform for language learning that allows you to
create interactive exercises and conversations using

AI [23].

Looking at local experience, the desire to introduce SI
technologies is also growing in the education system
of Uzbekistan. In particular, through digital projects
such

as

UzEduAI,

Darslik.uz,

EduMarket.uz,

educational resources are being provided in an
automated and customized form. At the new stage,
some universities are creating wide opportunities for
practical work such as writing scientific papers,
creating tests, and translating using ChatGPT or
similar technologies [24].

Foreign

experience

shows

the

widespread

introduction of SI technologies at all levels of
education, from preschool to higher education. For
example, in the USA, Carnegie Learning provides


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personalized suggestions for learning mathematics,
and in the UK, the Century Tech platform
automatically provides students with the necessary
tasks, determining their knowledge level [25]. All this
indicates the increasing use of SI tools as an
innovative tool in independent learning.

Although the introduction of AI-based self-directed

learning offers many promising opportunities, there
are also a number of important challenges that arise
in this process. A comprehensive analysis of these
challenges and the development of practical solutions
are important steps towards the sustainable
digitalization of the education system. Table 1 briefly
presents the challenges and solutions encountered in
the introduction of AI-based self-directed learning.

Table 1.

Challenge

Description

Proposed Solution

1

Technological

inequality

Lack of internet and

devices, especially in

remote areas

Digital grants, free Wi-

Fi access, and device

distribution

2

Low readiness level

Teachers and students are

not prepared to use AI

technologies

Training programs on

AI tools for teachers

and students

3

Financial and

infrastructural

limitations

High costs of AI

platforms and

infrastructure

Government subsidies

and international donor

programs

4

Legal and ethical

issues

Concerns regarding

personal data, copyright,

and fairness

Development of ethical

codes and strict legal

regulations

The first problem is technological inequality. Not all
students or teachers have access to modern devices,
stable internet and SI platforms. Educational
institutions in remote areas are especially deprived of
technological infrastructure. To overcome this
problem, public-private partnerships can be
established to establish "digital education grants",
free Wi-Fi hotspots and mobile device provision
programs.

The second problem is the level of training of students
and teachers. Many teachers do not know how to use
artificial intelligence tools or are afraid to use them.
Students, on the other hand, have difficulty critically
analyzing digital information, working independently
and communicating with SI-based tools. As a solution
to this, it is necessary to include continuous
professional development programs for teachers and
training courses for students on working with AI in
educational programs.

The third problem is financial and infrastructural
constraints. Components such as SI-based platforms,
servers, licenses, and technical maintenance require
significant financial resources. Many educational
institutions are unable to cover such costs
independently [26]. As a solution to this issue, it is
advisable for the government to allocate subsidies

aimed at developing digital education infrastructure,
and to use international grant and donor programs.

The fourth problem is legal and ethical issues. When
using SI technologies, issues such as the
confidentiality of personal data, the authorship of
content created by AI, violation of the principle of
fairness in assessment, and algorithmic errors arise.
As a solution, it is necessary to develop strict legal
standards and codes of ethics when integrating SI
tools into education. In particular, the transparency
of the information processed by AI and human
control in management should remain important
principles.

The establishment of independent education using
artificial intelligence should be formed in harmony
not only with technological progress, but also with
social justice, pedagogical preparation, financial
stability, and legal frameworks. Solving each problem
based on an integrated approach will make the
transformation in this area more effective.

CONCLUSIONS

The introduction of artificial intelligence (AI)
technologies into education is changing the
fundamental nature of the educational process,
expanding the possibilities for independent and
personalized learning for students. In order to fully


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utilize these opportunities in the education system of
Uzbekistan, it is necessary to develop important
organizational and technical conditions and
strengthen methodological and legal foundations.

First of all, the following recommendations are
important in improving organizational and technical
conditions:

Enriching educational programs and curricula with

flexible modules that support AI technologies;

Introducing special advanced training programs to

prepare teachers to work with AI tools;

Providing all educational institutions with modern

computer equipment, broadband Internet and digital
educational infrastructure;

Creating a permissive and convenient access

environment for AI-based educational platforms
(ChatGPT, Khanmigo, Squirrel AI, etc.);

Development of national regulatory documents

that provide for ethical and legal principles in the
implementation of AI technologies in education.

Ways to increase the effectiveness of independent
learning using AI should also be one of the main
directions of the education strategy. The following
measures are proposed:

Organization of classes focused on digital literacy,

information analysis and critical thinking to develop
students' independent work skills;

Providing student-specific content through

automatic personalization of educational materials
using AI (adaptive learning);

Continuous monitoring and optimization of the

learning process through the development of
automated assessment and feedback systems based
on AI;

Widespread introduction of chatbots, intelligent

assistants and gamified learning modules to make the
independent learning process interesting and
interactive;

Strengthening tripartite cooperation by informing

parents and teachers about students' achievements
and difficulties through AI tools.

In general, advancing the educational process
through artificial intelligence technologies is not just
a technological innovation, but a strategic approach
aimed at radically improving the quality of education.
Thorough reforms in organizational, technical,
methodological and social aspects will allow the
effective implementation of the independent
learning model using AI in the Uzbek education
system.

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(2025).

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background image

American Journal of Applied Science and Technology

81

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

baholash va ularga mos dasturlarni taklif qilish. «ACTA
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O

‘QITUVCHILARNI

IJOBIY

KОMPЕTЕNTLIGINI RIVОJLАNTIRISHDА ZАMОNАVIY
АХBОRОT TЕХNОLОGIYALАRINI QO ‘LLАSH. Свет
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O‘zbekiston Respublikasi Oliy ta’lim, fan va
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Xolmurodov, B. (2022). Matematika fanin

i o ‘qitish

samaradorligini oshirishda kahoot platformasidan
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Mansurov, T. (2024). Ta’limning formal, noformal va
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"

Педагогическая

акмеология"

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-

методический журнал,

9(17).

References

O‘zbekiston Respublikasining “Ta'lim to‘g‘risida”gi Qonuni. 2020 yil 23 sentyabr.

Anderson, T., & Dron, J. (2011). Three generations of distance education pedagogy. International Review of Research in Open and Distance Learning, 12(3), 80-97.

Laurillard, D. (2012). Teaching as a Design Science: Building Pedagogical Patterns for Learning and Technology. Routledge.

Woolf, B. P. (2010). Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning. Morgan Kaufmann.

Heffernan, N., & Heffernan, C. (2014). The ASSISTments Ecosystem: Building a platform that brings scientists and teachers together for minimally invasive research on human learning and teaching. International Journal of Artificial Intelligence in Education, 24(4), 470–497.

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson Education.

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

Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytics. In Learning Analytics (pp. 61–75). Springer.

Selwyn, N. (2016). Education and Technology: Key Issues and Debates. Bloomsbury Publishing.

Voogt, J., & Roblin, N. P. (2012). A comparative analysis of international frameworks for 21st century competences. Education Research International, 2012, 1–15.

Cukurova, M., Luckin, R., & Clark-Wilson, A. (2019). Creating the golden triangle of evidence-informed education technology. British Journal of Educational Technology, 50(2), 490–504.

Papamitsiou, Z., & Economides, A. A. (2014). Learning Analytics and Educational Data Mining in Practice: A Systematic Literature Review. Educational Technology & Society, 17(4), 49–64.

Daniel, B. (2015). Big Data and analytics in higher education: Opportunities and challenges. British Journal of Educational Technology, 46(5), 904–920.

UNESCO. (2019). Artificial Intelligence in Education: Challenges and Opportunities for Sustainable Development.

XOLMURODOV, B. (2025). Sun’iy intellekt texnologiyalari orqali talabalar qobiliyatlarini baholash va ularga mos dasturlarni taklif qilish. «ACTA NUUz», 1(1.3. 1), 205-207.

Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278.

Al-Fraihat, D., Joy, M., & Sinclair, J. (2020). Evaluating E-learning systems success: An empirical study. Computers in Human Behavior, 102, 67–86.

OECD. (2021). The State of School Education: One Year into the COVID Pandemic. OECD Publishing.

Холмуродов, Б., & Шерриев, М. (2025). BO ‘LAJAK INFORMATIKA O ‘QITUVCHILARNI IJOBIY KОMPЕTЕNTLIGINI RIVОJLАNTIRISHDА ZАMОNАVIY АХBОRОT TЕХNОLОGIYALАRINI QO ‘LLАSH. Свет науки, (8 (43)).

OpenAI. (2023). ChatGPT in Education: Use Cases and Considerations.

Khan Academy. (2023). Khanmigo: AI-powered learning companion. https://www.khanacademy.org

Squirrel AI Learning. (2021). Adaptive Education Based on AI. squirrelai.com

Duolingo. (2023). Introducing Duolingo Max. https://blog.duolingo.com/duolingo-max

O‘zbekiston Respublikasi Oliy ta’lim, fan va innovatsiyalar vazirligi (2024). Sun’iy intellekt va ta’lim: strategik yo‘nalishlar.

Xolmurodov, B. (2022). Matematika fanini o ‘qitish samaradorligini oshirishda kahoot platformasidan foydalanish. Buxoro davlat pedagogika instituti jurnali, 2(2).

Mansurov, T. (2024). Ta’limning formal, noformal va informal turlarining bilim olish jarayonidagi oʻziga xos afzalliklari. " Педагогическая акмеология" международный научно-методический журнал, 9(17).