METHODOLOGICAL AND PRACTICAL ASPECTS OF APPLYING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN EDUCATION

ABSTRACT

This article presents the methodological foundations and practical possibilities of applying artificial intelligence technologies in the educational process. The study analyzes the main structural components of artificial intelligence systems and identifies the priority directions of their application in education, including learner-centered education, intelligent tutoring systems, automated knowledge assessment, learning analytics, virtual and augmented reality technologies, natural language processing, and educational process management. Particular attention is paid to the role of artificial intelligence in improving learning effectiveness, reducing teachers’ workload, and supporting data-driven decision-making in education. The article also examines the integration of modern pedagogical approaches shaped by digital technologies into the educational system, as well as the possibilities of using generative artificial intelligence tools in teaching practice. In addition, the directions of applying artificial intelligence in education are systematized, and the main mechanisms for developing artificial intelligence competencies through mobile technologies and practice-oriented learning activities are presented. The research findings indicate that the implementation of artificial intelligence technologies contributes to making the educational process more efficient, interactive, and inclusive, as well as aligning it with the requirements of the digital economy.

АННОТАЦИЯ

В данной статье представлены методологические основы и практические возможности применения технологий искусственного интеллекта в образовательном процессе. В исследовании анализируются основные структурные компоненты систем искусственного интеллекта и определяются приоритетные направления их применения в образовании, включая обучение, ориентированное на учащегося, интеллектуальные системы обучения, автоматизированную оценку знаний, аналитику обучения, технологии виртуальной и дополненной реальности, обработку естественного языка и управление образовательным процессом. Особое внимание уделяется роли искусственного интеллекта в повышении эффективности обучения, снижении рабочей нагрузки преподавателей и поддержке принятия решений на основе данных в образовании. В статье также рассматривается интеграция современных педагогических подходов, сформированных цифровыми технологиями, в образовательную систему, а также возможности использования инструментов генеративного искусственного интеллекта в педагогической практике. Кроме того, систематизированы направления применения искусственного интеллекта в образовании и представлены основные механизмы развития компетенций в области искусственного интеллекта с помощью мобильных технологий и практико-ориентированных учебных мероприятий. Результаты исследования показывают, что внедрение технологий искусственного интеллекта способствует повышению эффективности, интерактивности и инклюзивности образовательного процесса, а также его приведению в соответствие с требованиями цифровой экономики.

Keywords: artificial intelligence; education; personalized learning; intelligent tutoring systems; learning analytics; mobile applications; educational technologies

Ключевые слова: искусственный интеллект; образование; персонализированное обучение; интеллектуальные системы обучения; аналитика обучения; мобильные приложения; образовательные технологии

INTRODUCTION

Artificial intelligence, like many other innovative technologies, has evolved over a long period and has now begun to be widely applied across various fields, including the education system [1–2]. Its rapid development enables the organization of the educational process based on new approaches, thereby creating a solid foundation for significant transformations in this field [3].

Artificial intelligence is understood as a set of technologies that allow computer systems to model, analyze, and generate solutions to problems by simulating processes characteristic of human cognition [4]. The effective functioning of such systems requires the presence of core structural components that ensure data processing, learning capabilities, and adaptability [5]. These components, which define the overall architecture of artificial intelligence systems, are illustrated in Figure 1.

Figure 1. Structural Components of Artificial Intelligence

METHODOLOGY

The implementation of artificial intelligence technologies across various sectors contributes to the emergence of new opportunities and creates favorable conditions for the development of innovative solutions [6]. It should be emphasized that as artificial intelligence systems increasingly approximate human cognitive processes, their design and further development require large volumes of data as well as substantial computational resources [7].

The use of artificial intelligence in the educational process implies the introduction of systems that model core intellectual activities characteristic of human intelligence through digital technologies. These activities include knowledge acquisition, analysis, decision-making, and problem-solving processes [8]. Such technologies enhance educational effectiveness, support the implementation of learner-centered instructional models, facilitate the analysis of students’ knowledge levels, and enable flexible adaptation of educational curricula. In addition, artificial intelligence–based approaches improve the objectivity and efficiency of the educational process by introducing automated systems for assessing students’ learning activities [9–10].

RESULTS

The use of artificial intelligence technologies in the field of education serves as an important tool for organizing the learning process more effectively, implementing learner-centered approaches, and creating interactive educational environments. The main directions of applying artificial intelligence in the education system are summarized in Table 1.

Table 1.

Main Directions of Artificial Intelligence in Education

he application of artificial intelligence in the field of education encompasses a number of priority areas. These include learner-centered instruction, intelligent tutoring systems, automated assessment of knowledge, learning analytics, virtual and augmented reality technologies (VR/AR), natural language processing (NLP), and systems designed for educational process management [11]. Among the studies conducted in these areas, particular attention should be given to the work of Hastie, Tibshirani, and Friedman, who provided a comprehensive theoretical analysis of the application of statistical learning methods in educational contexts [12]. In addition, the Data Mining concept developed by Han, Kamber, and Pei, as well as the practical guide to machine learning tools proposed by Witten and Frank, are considered to have significant applied value in the field of data analysis [13–14]. The methodological and ethical aspects of applying artificial intelligence in education have been extensively examined in the works of Luckin, W. Holmes, B. P. Woolf, R. R. Koedinger, K. VanLehn, A. A. Alimov, and other researchers, confirming the relevance and importance of this research direction [15–20].

Thus, the use of artificial intelligence technologies in the educational process provides several important advantages. These technologies enable the adaptation of learning processes to students’ individual needs, enhance educational effectiveness, optimize teachers’ workload, and support continuous monitoring of learners’ academic performance. Moreover, artificial intelligence serves as an effective tool for introducing innovative teaching methods and facilitating their integration into educational practice.

In recent years, the growing interest in engineering fields has led to the transfer of approaches and concepts developed within the information technology sector to other domains, including education. In particular, the Agile Manifesto, originally designed for software development processes, is now widely applied not only in the economic sector but also in education. When adapted to the educational context, these approaches acquire specific characteristics and, as illustrated in Figure 2, are commonly expressed using the “Ed” prefix.

Figure 2. Interaction Between Technologies and Educational Content

The use of artificial intelligence technologies in the educational process contributes to the development of interactive collaboration and significantly simplifies the creation and visual presentation of educational content for both teachers and students. These technological tools support educators in designing learning materials that comply with current curriculum requirements and ensure the effective assimilation of content while taking into account students’ individual needs. Interactive environments such as virtual laboratories, simulations, and educational games enhance student engagement, while collaboration-oriented digital platforms promote peer learning and knowledge exchange [21].

By utilizing the analytical data and digital indicators provided by these technologies, educators are able to personalize learning pathways, deliver adaptive feedback, and improve the overall learning experience. Through intelligent tutoring systems and learning analytics tools, artificial intelligence has the potential to enhance the educational process and support effective data-driven decision-making [22].

At present, technological developments in this area exert a significant impact on the education sector by fostering the renewal of existing instructional approaches and creating opportunities to organize education more inclusively and effectively for all learners. Based on the scope of application and underlying principles of artificial intelligence in education, it can be classified into two main categories, as illustrated in Figure 3.

Figure 3. Artificial Intelligence in Education

Today, educators increasingly focus on adapting the learning process to modern digital opportunities. In this context, they integrate generative artificial intelligence technologies into lesson planning and actively use these tools in teaching practice. Artificial intelligence serves as an important supporting tool for collecting and analyzing educational data, as well as for generating engaging and meaningful ideas for instructional activities.

Artificial intelligence technologies are fundamentally transforming teaching and learning processes within the education system. Tools developed on the basis of these technologies enable the creation of learner-centered educational environments, automate routine and resource-intensive administrative tasks, and provide analytical insights based on data. As a result, teachers gain the ability to adapt the learning process to the individual needs of each learner, making education more engaging and effective[28-29].

In addition, artificial intelligence–based technologies contribute to the optimization of administrative processes in educational institutions. By simplifying organizational and technical tasks, these technologies allow educators to concentrate more on instructional activities rather than administrative responsibilities.

As presented in Table 2, the directions of applying artificial intelligence in education can be divided into two main categories: the first focuses on educational informatization aimed at supporting the learning process and students’ extracurricular activities, while the second is dedicated to learning the fundamentals of artificial intelligence [23].

Table 2.

Categories of Artificial Intelligence Application in Education

When implementing artificial intelligence technologies to support the educational process, comprehensive systems that encompass an entire educational institution or even a consortium of institutions are often proposed. However, such approaches require substantial financial resources, long implementation periods, and extensive legal formalization. As a result, these solutions are, in some cases, less practical than the targeted and flexible use of machine learning technologies. At the same time, artificial intelligence enables teachers to apply these technologies directly within the learning process without requiring full institutional involvement and without imposing additional administrative burdens when working with anonymized data[24-25].

One of the most important directions of applying artificial intelligence in education is the implementation of personalized learning. By using machine learning algorithms and data analytics tools, artificial intelligence can adapt the learning process to each student’s individual needs, knowledge level, and abilities. This approach enables the development of individualized learning plans, the recommendation of supplementary learning materials, and the allocation of tasks according to students’ academic performance.

In addition, artificial intelligence technologies are widely used in the development of interactive learning materials. Virtual laboratories, simulations, training systems, and other educational applications allow learners to acquire practical skills and experience through interaction with virtual models. This approach is particularly effective in fields such as science, engineering, and medicine, where hands-on practice plays a crucial role. Graduates who possess skills in developing and applying artificial intelligence technologies are therefore well aligned with the current demands of the IT labor market[30].

Data analysis represents another essential component of artificial intelligence in the educational domain. By employing artificial intelligence algorithms, large volumes of educational data can be processed and analyzed, enabling educators to obtain analytical insights that would otherwise require significant time and resources using traditional methods. This facilitates the identification of learning trends, the assessment of students’ progress, the detection of weaknesses, and the formulation of effective feedback aimed at improving educational quality.

Furthermore, artificial intelligence technologies are extensively applied to automate assessment processes, lesson planning, and routine administrative tasks. This allows teachers to devote greater attention to key pedagogical activities such as course design, the development of independent learning, and the enhancement of interaction among students.

Currently, chat systems based on GPT (Generative Pre-trained Transformer) technology have gained widespread popularity among students. The use of GPT-based chat tools in collaborative learning environments introduces innovative and interactive approaches to education[26-27]. GPT is an artificial intelligence model trained on large-scale textual data, capable of generating text and providing context-aware responses to user queries.

DISCUSSION

Courses that incorporate artificial intelligence technologies create a unique educational environment for students by integrating two key areas of modern digital technologies: mobile application development and the study of artificial intelligence fundamentals. Within these courses, students participate in practice-oriented activities aimed at developing the necessary knowledge and skills for designing, implementing, and applying artificial intelligence solutions within mobile applications. This approach not only strengthens students’ theoretical understanding but also engages them in project-based learning focused on solving real-world problems.

The main directions for the development of artificial intelligence technologies and their integration into the educational process are summarized in Table 3 [24].

Table 3.

Pathways for the Development of Artificial Intelligence

Artificial intelligence technologies enable individuals to use their time resources more efficiently by automating repetitive and routine tasks, thereby allowing them to focus on more complex, analytical, and intellectually demanding activities. As a result, labor productivity increases significantly, and overall performance reaches a higher level. At the same time, artificial intelligence creates a foundation for the emergence of new ideas, approaches, and technological solutions, expanding opportunities for developing products and services that were previously difficult to achieve.

However, alongside the rapid advancement of artificial intelligence, issues related to ethics, personal data privacy, and information security are becoming increasingly prominent. Therefore, it is essential to establish an appropriate legal and regulatory framework governing the use of artificial intelligence technologies, as well as to train highly qualified specialists capable of applying these technologies effectively, responsibly, and securely.

CONCLUSION

In conclusion, studying artificial intelligence and integrating it into the educational process is of critical importance in the context of a modern, rapidly evolving society. This direction contributes to the development of knowledge and skills required for future professions and prepares learners to operate effectively in a digital environment. At the same time, the rational use of artificial intelligence technologies enables students to gain a deeper understanding of how modern technological tools can be effectively employed to achieve diverse educational objectives.

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