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International scientific-online conference
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IMPROVING THE TEACHING OF “ALGORITHMIC LANGUAGES AND
PROGRAMMING” THROUGH THE USE OF ADAPTIVE LEARNING
TECHNOLOGIES.
Umarzoda Shohruh Azamat ugli
Termez State University
https://doi.org/10.5281/zenodo.15165070
Annotation:
This thesis explores the integration of adaptive learning
technologies in teaching the subject "Algorithmic Languages and Programming."
It analyzes the nature and benefits of adaptive learning and investigates its
application in the educational process. The study results in practical
recommendations to enhance the subject’s effectiveness.
Keywords:
Adaptive learning, algorithmic languages, programming,
artificial intelligence, personalized education, individual learning trajectory.
With the rapid advancement of modern information technologies, the field
of algorithmic languages and programming has become increasingly important
worldwide. The growing demand for professionals with programming skills in
all sectors of the economy underscores the relevance of this subject. However,
due to the limited effectiveness of traditional teaching methods, the need for the
implementation of innovative pedagogical strategies is becoming more urgent.
This research focuses on the teaching process of the subject "Algorithmic
Languages and Programming," specifically investigating the use of adaptive
learning technologies within this process.
The main objective of the study is to improve the quality of teaching the
subject through the implementation of adaptive learning technologies, providing
methodological recommendations that align with students' individual
capabilities and knowledge levels. To achieve this objective, the following tasks
were defined:
Analyze the significance and relevance of the subject in the educational
system;
Study the theoretical foundations of adaptive learning technologies;
Examine the potential applications of adaptive platforms in programming
education;
Explore the use of artificial intelligence algorithms in designing
personalized learning paths;
Develop practical recommendations for educators and specialists based on
the findings.
ACADEMIC RESEARCH IN MODERN SCIENCE
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The research methodology includes theoretical analysis, synthesis of
international experience, pedagogical experimentation, and statistical analysis.
Today, algorithmic languages and programming are integral to all fields of
science and industry as essential components of information technology. The
demand for professionals with programming skills in production sectors and the
economy drives the need for innovative teaching approaches in the educational
system.
In Uzbekistan, significant attention is being paid to programming education.
While the subject is actively taught at universities, challenges remain in the form
of outdated curricula and conventional teaching methods. Standardized teaching
materials often fail to accommodate students' varying knowledge levels and
capabilities, resulting in ineffective learning outcomes.
Therefore, integrating adaptive technologies into the teaching process
becomes necessary. These technologies allow for personalized learning paths
that cater to each student's unique abilities and pace, ultimately enhancing the
quality and efficiency of education.
Adaptive learning technologies aim to create a personalized learning
environment that considers each student's individual characteristics and
learning needs. These systems automatically adjust tasks and materials based on
students’ knowledge levels and learning speeds.
Key advantages of adaptive learning systems include:
Creation of individual learning trajectories;
Enhanced learning outcomes and comprehension rates;
Customization of content according to each student’s needs;
Increased motivation and engagement among learners;
Continuous monitoring and immediate feedback mechanisms.
Adaptive platforms provide personalized and effective learning experiences
for students of algorithmic languages and programming. These platforms utilize
AI-driven algorithms to identify students' needs and offer tailored content
accordingly.
Key opportunities provided by such platforms include:
Selection of programming problems suited to individual learning levels;
Automated monitoring of problem-solving processes with instant
feedback;
Presentation of theoretical and practical materials in an adaptive format;
Development of students’ independent learning skills.
ACADEMIC RESEARCH IN MODERN SCIENCE
International scientific-online conference
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The integration of adaptive learning technologies in the teaching of
algorithmic languages and programming enhances learning efficiency and meets
students' individual needs. This approach boosts learner motivation and
promotes the effective acquisition of practical programming skills.
References:
1.
Brusilovsky P. Adaptive and Intelligent Technologies for Web-based
Education. – KIIS Journal, 2014.
2.
Hwang, G. J., Sung, H. Y., Chang, H. F. An Adaptive Learning System for
Improving Students' Learning Achievements. – Computers & Education, 2017.
3.
Yuldashev S.A. Dasturlash asoslarini o‘qitish metodikasi. – Toshkent, 2020.
4.
Rasmitadila et al. The Perceptions of Primary School Teachers of Online
Learning during the COVID-19 Pandemic Period. – Journal of Ethnic and Cultural
Studies, 2020.
5.
Woolf, B. P. Building Intelligent Interactive Tutors: Student-centered
Strategies for Revolutionizing e-Learning. – Morgan Kaufmann Publishers, 2008
