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

Аннотация

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. 5 ACADEMIC RESEARCH IN MODERN SCIENCE International scientific-online conference 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. 6 ACADEMIC RESEARCH IN MODERN SCIENCE International scientific-online conference 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.