Volume 04 Issue 12-2024
240
International Journal of Pedagogics
(ISSN
–
2771-2281)
VOLUME
04
ISSUE
12
P
AGES
:
240-243
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
ABSTRACT
The use of artificial intelligence in education represents a significant step in the evolution of educational technologies,
providing new opportunities for personalized learning, improved quality of educational processes and more efficient
management of educational institutions.
KEYWORDS
Supervised Learning, unsupervised learning, reinforcement learning, deep learning, neural networks, decision trees,
support vector machines (svm), k-nearest neighbors (knn).
INTRODUCTION
The development of artificial intelligence (AI) and its
implementation in the field of education is becoming
widespread. Experts agree that AI will lead to
significant transformations in industries related to
intellectual activity, which include education.
The education sector, unlike business, has its own
specifics for the integration of AI technologies. The
main goal of introducing AI into educational processes
is not to obtain an economic effect, but to improve the
quality of education, which is difficult to measure using
a system of objective indicators.
At the same time, the use of artificial intelligence is not
only equipping classes and auditoriums with
appropriate equipment, but also a change in the
educational paradigm. As AI solutions are introduced,
traditional classes will be replaced by multi-format
project-based learning.
Research Article
TECHNOLOGIES AND ALGORITHMS FOR USING ARTIFICIAL
INTELLIGENCE IN EDUCATION
Submission Date:
December 15, 2024,
Accepted Date:
December 20, 2024,
Published Date:
December 28, 2024
Crossref doi:
https://doi.org/10.37547/ijp/Volume04Issue12-51
Choriyev I.K.
Faculty of Applied Mathematics and Intellectual Texnologies, Termez State University, Termez, Uzbekistan
Journal
Website:
https://theusajournals.
com/index.php/ijp
Copyright:
Original
content from this work
may be used under the
terms of the creative
commons
attributes
4.0 licence.
Volume 04 Issue 12-2024
241
International Journal of Pedagogics
(ISSN
–
2771-2281)
VOLUME
04
ISSUE
12
P
AGES
:
240-243
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
The role of the teacher will also change. His importance
as a mentor will increase, motivating students to work
independently, teaching them how to work with
information, and finding new solutions. This is due to
the fact that artificial intelligence in education is based
on the use of a variety of applications, including
intelligent mentors, functions of personal and prompt
feedback, and monitoring progress in learning.
Artificial intelligence (AI) is used in education for:
Personalization of learning: AI can help teachers create
personalized learning plans for each student based on
their individual needs and abilities.
Automate routine tasks: AI can help teachers free up
valuable time by automating routine tasks such as
grading tests, grading papers, and preparing teaching
materials.
Data analysis: AI can analyze learning data, helping
teachers identify areas where students need additional
support and suggesting strategies to improve learning.
This will make it possible to predict educational results.
Development of new teaching methods: AI can help
teachers develop and test new teaching methods
based on the analysis of large amounts of data. Where
human attention may fail, AI will work strictly
according to the algorithm, without missing anything.
Improving access to education: AI can help teachers
create innovative resources that make education
accessible to all students.
The power of AI can also be used to provide tailored
support and increase awareness of knowledge gaps,
allowing educators to leverage personalized and
adaptive learning technologies. AI enables algorithm-
based decision making that evaluates complex skills
and knowledge in real time.
In addition, educational systems based on artificial
intelligence are able to analyze the dynamics of
classroom activities and student engagement, which
makes it possible to quickly identify underperforming
students and eliminate gaps in knowledge.
The following technologies, which until recently
seemed like a distant future, are already being used in
the educational sphere.
Implementation of adaptive learning. Adaptive
learning presupposes a form of organizing the
educational process in which the skills, interests and
other individual characteristics of students are taken
into account as much as possible. The construction of
adaptive educational models is carried out using
technologies based on AI and machine learning, which
make it possible to analyze the results of mastering an
educational program by a student or schoolchild and
adjust it for each student.
AI-powered gamification. Using artificial intelligence
algorithms, personalized games can be created that
help speed up the learning process. This makes
learning more fun and promotes better learning. First
of all, gamification in education is used to increase
student motivation. It also helps to achieve higher
concentration, interest in the material being studied
and retention of attention throughout the lesson.
Introduction of intelligent robotics into education.
Robots in the learning process can be used to solve a
variety of problems - from programming to designing
and conducting experiments. This helps students
develop problem-solving, creativity and teamwork
skills. Students get the opportunity to apply their
Volume 04 Issue 12-2024
242
International Journal of Pedagogics
(ISSN
–
2771-2281)
VOLUME
04
ISSUE
12
P
AGES
:
240-243
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
acquired knowledge and skills in practice, as well as
develop creative and engineering thought.
Generative artificial intelligence. Over the past year,
the popularity of this AI technology has grown rapidly.
In education, generative AI is also used to improve the
educational process. For example, a chatbot is able to
answer students’ questions, and neural networks help
analyze the results of classes, select topics and
materials for new ones, and tell speakers which
programs require adjustments. AI also helps in the
administrative work of teachers.
Currently,
three
modern
artificial
intelligence
algorithms are actually used in teaching:
•
Ensembles of algorithms based on logic of varying
degrees of complexity. It is this AI that is
responsible for constructing individual learning
paths or analyzing the effectiveness of a lesson
plan.
•
Pre-trained neural networks, which are created to
solve one specific problem and trained on a large
amount of data. Such neural networks may, for
example, be responsible for automatically
understanding language or recognizing emotions
on students’ faces.
•
Neural networks that belong to the field of shadow
deep learning. In this case, the pretrained neural
network is additionally trained on a smaller amount
of data and adapted to solve a narrower problem.
For example, when a language neural network is
specialized in checking open tasks for a particular
course.
The results of the study show that today the education
sector is at an early stage of introducing AI
technologies. On the one hand, in terms of investment
opportunities in AI technologies and attracting
specialized specialists, it is inferior to the leading
segments
of
the
economy:
banks,
trade,
telecommunications. On the other hand, educational
institutions have a special need for the use of AI, since
this field of activity is directly related to information
and its processing.
You need to use AI where you can see and understand
how it made this or that decision and why it did so.
Indeed, in educational projects, especially those aimed
at children and adolescents, errors or incorrect
interpretation of data can lead to serious
consequences for a person’s fate.
Artificial intelligence allows not only to conduct an in-
depth analysis of the interaction between the student
and the system, but also provides an accurate
assessment of the current state and contributes to the
construction of an individual learning trajectory
depending on the person’s demonstra
ted abilities.
The capabilities of artificial intelligence in the field of
analysis and forecasting are used for:
•
analyzing the interaction between a teacher and a
student;
•
forming an individual educational trajectory for a
student;
•
assessing the current progress of students;
•
monitoring the educational activities of both
students and teachers.
Thus, the use of artificial intelligence solves one of the
problems of education - universality, allowing you to
change approaches to learning, offering different
learning options depending on the individual
characteristics of each student. Features of AI in
education are the use of key models: pedagogical,
Volume 04 Issue 12-2024
243
International Journal of Pedagogics
(ISSN
–
2771-2281)
VOLUME
04
ISSUE
12
P
AGES
:
240-243
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
educational (various educational platforms, systems,
training simulators, etc.), student model.
REFERENCES
1.
Strunin, D. A. Artificial intelligence in the field of
education // Young scientist. - 2023. - No. 6 (453).
—
P. 15-16.
2.
Yasnitsky L.N. Artificial intelligence. Elective
course: study guide.
–
M.: Binom. Laboratory of
Knowledge, 2012.
–
197 p.: ill.
