DET-2024: International Conference on Distance Education Technologies

The article discusses the distance learning models presented in the researches of various authors. The realization of a mixed distance learning model based on the usage of network technology is proposed. An algorithm for designing and developing content for a distance course, which allows avoiding wasting time and material resources and get a high-quality result, is considered. A comparative analysis of the didactic capabilities of the most popular platforms for creating distance courses is provided, the choice of LMS Moodle is substantiated. It is shown that the use of interactive elements of the platform makes it possible to track the progress of students’ lectures, tests, exercises, and organize group work between students. It was revealed that the variety of elements and the possibility of their flexible customization allows successfully applying LMS Moodle at various levels of education (general, professional, additional), implementing a personal-activity approach in the learning process. The didactic capabilities of LMS Moodle are analyzed, methodological techniques of the distance course elements are presented. The pedagogical technologies, that are successfully used in the distance mode, are presented. It is shown that the choice of pedagogical technology is determined by the purpose of the lesson, individual characteristics, and competencies of students. Examples of pedagogically expedient use of LMS Moodle elements in the implementation of some teaching technologies are given. A variant of the implementation of a mixed education model has been proposed, which has been tested in the development of distance courses in LMS Moodle and has been embedded into the educational process of master’s and bachelor’s programs based on the North Caucasus Federal University.

The article discusses the topical issue of the use of AI assistants in the educational process of universities, which is becoming especially important in the context of the rapid development of digital technologies. Artificial intelligence, as one of the key tools of our time, is being actively introduced into the educational sphere, allowing us to optimize routine tasks and increase the effectiveness of the educational process. AI assistants are able not only to automate tasks such as checking assignments, drawing up curricula and analyzing student performance, but also to provide personalized recommendations for students, which significantly improves the quality of learning and creates an immersive environment for students. This article examines the role of AI assistants as a tool to support teachers in the educational process of universities. The main advantages of using them are considered, including improving the effectiveness of teachers, reducing the burden on teaching staff and the possibility of a more flexible approach to student learning. Attention is paid to the difficulties and limitations associated with the introduction of AI technologies, such as the need to adapt existing educational programs and the ethical aspects of using artificial intelligence. The purpose of the study is to analyze the effectiveness of using AI assistants in various educational environments, as well as to identify key factors for the successful integration of these technologies into the educational process. Based on the analysis, recommendations are offered for teachers on the optimal use of AI assistants, taking into account the specifics of educational tasks. The article will be useful both for researchers in the field of educational technologies using IT tools, and for practitioners interested in optimizing and improving the quality of the educational process.

The article presents a comprehensive review of the transformational potential of metaverses in the field of modern education. A multidimensional analysis of this technology is carried out, considering it not only as a technical innovation, but also as a fundamentally new educational paradigm. The paper explores in detail the unique capabilities of metaverses for creating immersive learning environments where traditional educational formats are combined with innovative approaches such as gamification and project activities in virtual space. The article pays special attention to the practical aspects of the use of metaverses in the educational process. Methodologically, the article identifies three key areas for the successful realization of the educational potential of the metaverses: technical (providing infrastructure and accessibility), organizational (developing a regulatory framework and standards) and pedagogical (creating effective didactic models). In conclusion, the article emphasizes that the full realization of the educational potential of the metaverse is possible only with a systematic approach that comprehensively takes into account technological, organizational and pedagogical aspects. Such a multi-level approach will make it possible to transform the metaverse from a promising, but still experimental technology into an effective educational tool of a new generation. Only in this case will the metaverses be able to become a catalyst for profound changes in the learning system, ensuring its adaptation to the requirements of the rapidly developing digital reality.

The article discusses the development of the education system through its digitalization and the creation of an interactive learning environment. Despite the classical learning models, the use of a hermeneutic approach to mastering new disciplines, which was laid down in reflective teaching methods, will allow a deeper understanding of the material being studied and a more meaningful application of it. As part of the hermeneutic approach, the category of understanding is considered as the art of interpreting texts, so the processes of global digitalization exacerbate the relevance of solving the problems of using information technologies and computer didactics. The article also reveals the essence of the concept of “interactive learning environment” (ILE), provides its analysis based on various definitions. Various approaches to the development of the ILE structure in the form of electronic structures that have different target orientations are described. Such structures perform various functions in the general educational space depending on the infrastructure of the educational space itself. This study provides the creation of an information learning environment through software implementation in accordance with regulatory state federal documents. The ISO technology software component chain is built. A new ISO definition is given. The main methodological and pedagogical principles that form the basis of the development of ISO are formulated. Thus, the application of the principles of the hermeneutic approach and the development of an interactive learning environment, which are outlined in the work, improves the quality of education throughout the educational space, and also provides the teacher and student with the opportunity to improve their learning skills and use the knowledge they have acquired, which will allow them to use them in the future for the development of their country and to enhance its prestige in the international arena.

The article presents an interactive web-oriented textbook, which was developed based on a hermeneutic approach to the learning process. The student is intended primarily for students of the pedagogical direction, but will also be useful for practicing teachers of schools and higher educational institutions as a tool for digital technologies. The methodology and models of teaching are also presented in the article based on a competence-based and systemic approach to the educational process, as well as using a cultural and historical component. The presented textbook is located in the cloud storage, consists of 5 author’s resources and is registered in the structure of Rospatent of the Russian Federation. In describing the program “Matrix of Technology of Innovative Computer Didactic”, the main software components are allocated to ensure the functioning of the remote educational process. Details described the program “The model of educational planning”, which presents materials and types of professional-pedagogical activities in the subject learning system. Thus, the interactive textbook for digital and distance education is designed mainly for independent work of students and pupils, which is fundamentally different from classical textbooks. The article also presents a methodology for planning the structure of the educational process. J. Carnegie wrote that the goal of a real teacher is to “make want” to learn, which is facilitated by working with this textbook.

The article is devoted to the study of the possibilities of using virtual museums in school teaching of literature as an innovative tool capable of enriching traditional approaches to the study of literary texts. The article considers methodological aspects of integrating digital museum resources into the educational process, including various forms of work: virtual excursions, thematic quests, project assignments and comparative analysis of museum exhibits. Particular attention is paid to the didactic potential of virtual museums in forming students’ holistic understanding of the cultural and historical context of literary works. Both the advantages of this approach and the existing limitations are analyzed. The article presents a classification of methods for working with virtual museums in chronological perspective, reflecting the evolution from simple excursion forms to complex interactive models. A conclusion is made about the need for a balanced combination of the technological capabilities of virtual museums with the depth of literary analysis. The material of the article is of practical interest to literature teachers, methodologists and developers of educational digital resources, offering specific recommendations for the effective use of virtual museums in school practice of teaching literature.

This paper examines modern methods of computer analysis of literary texts using artificial intelligence and natural language processing technologies. The study demonstrates how language models BERT, GPT, specialized libraries spaCy, Gensim and computing platforms can be adapted to solve traditional literary problems - from stylistic and thematic analysis to the study of narrative structures and intertextual connections. Particular attention is paid to the possibilities and limitations of using machine learning in the humanities, including problems of interpretability of results and the need to combine quantitative methods with qualitative philological analysis. The work systematizes existing digital tools for literary studies Voyant Tools, Mallet, Stylo, offering practical recommendations for their use in research practice. Particular emphasis is placed on the methodological aspects of integrating computer technologies into humanities research, where formal methods serve not as a replacement, but as a powerful addition to traditional approaches. The results of the study show that modern NLP technologies open up new prospects for analyzing large text corpora, identifying hidden patterns and posing new research questions in literary studies, while simultaneously requiring critical understanding and meaningful interpretation of the data obtained. The work is of interest to researchers at the intersection of digital humanities and computational linguistics, offering a comprehensive overview of current methods and their practical application in the analysis of literary texts.

Modern education involves the use of information and communication technologies at different stages of the educational process. IT-technologies not only make it possible to automate the routine work of organizing the educational process, for example, scheduling, but also to improve the quality of education through the use of innovative intelligent digital technologies. A teacher who does not have specialized skills in programming and computer science sometimes loses the advantages of computer technologies due to a lack of understanding of their capabilities and place in their professional activity. The typology of IT technologies, in the context of their application in education, is designed to reveal the advantages of using computer applications and services, both in the activities of an individual teacher and for organizing the educational process as a whole. The relevance of the study is determined by the contradiction between the requirements of the state educational standard of teaching, indicating the maximum use of the capabilities of IT technologies in the educational process and the lack of pedagogical research on typologies and didactic properties of computer technologies and services. We will single out individual areas of pedagogical activity and, in accordance with them, classify various information and communication technologies and computer services. In our opinion, it is possible to define three types of application of IT-technologies in education: individual professional activity of a teacher, within the framework of which the teacher carries out the solution of their daily educational tasks; support of pedagogical activities, including technologies and services that ensure the organization of educational activities, both for the teacher and the institution as a whole; analysis of learning outcomes, designed to correct, predict and improve the quality of pedagogical influences.

Cyberbullying, hostile behavior of a group or an individual to defame or harass the victim mentally with the help of social media and other e-communication platforms, has the potential to create a lifelong negative impact on mental health with the power of inducing suicidal thoughts. It is on the rise among the early adolescents of the age group from 8 to 16. Hence it is vital to detect Cyberbullying at an early stage to safeguard the victims at the high risk of developing depression, anxiety, and suicidal ideas. It also helps to mitigate psychological, academic, and social consequences. Existing cyberbullying detection approaches primarily depend on static monolingual questionnaires and are not personalised. With the developments in Artificial Intelligence, many neural network-based approaches are explored to detect cyberbullying. This study discusses and provides comparative analysis of various machine learning approaches for detecting cyberbullying victimization among school students highlighting their effectiveness and limitations.

The article examines the problem of the formation of digital competencies in the training of specialists in the field of media communications. An extensive review of the literature on the issue under study is given. The article examines the trends in the transformation of the profession of a communicator in the context of the intensive development of the latest technologies in the field of big data, gamification, artificial intelligence, etc. The article presents the research results on the basis of which an innovative educational program for training specialists in the field of advertising and public relations has been developed. The program includes modules related to general digital literacy, artificial intelligence resources, management in the digital environment, Internet marketing, technologies for working on various media platforms, as well as project activities using digital technologies.

The article examines the development and conceptual analysis of the Ren’AI program as a tool for fostering scientific thinking in youth while studying courses on artificial intelligence technologies in a distance learning environment. The program offers an interactive approach by using visual novels to engage students in the process of analyzing and solving scientific problems. The study includes an analysis of the structure of Ren’AI, its algorithms, and its educational potential. A literature review confirms the effectiveness of gamified methods and interactive learning in developing critical thinking. The developed algorithm for creating visual novels provides a structured approach to forming educational content and can be adapted for various academic disciplines. In the future, testing of the program among applied informatics students is planned, which will allow for an empirical evaluation of its impact on material comprehension and student engagement.

This paper proposes a methodology for analyzing digital footprints in the Moodle Learning Management System (LMS) to identify procrastination patterns and classify students based on temporal activity dynamics. The study introduces novel metrics, including last_week_intensity (activity concentration in the final week), late_activity_ratio (proportion of activity in the last 25% of the course), and activity_trend (linear regression slope of weekly engagement), to quantify behaviors. Using data from 19 students enrolled in a 17-week Human Resource Management course, the authors apply the K-Means clustering algorithm to categorize learners into three distinct groups: procrastinators, achievers, and diligent underachievers. The results reveal significant correlations between procrastination metrics, engagement duration, with procrastinators demonstrating short-term participation (5 weeks) and high end-of-course activity (88% intensity). The study highlights the potential of LMS data for early identification of at-risk students and designing adaptive pedagogical interventions.

This article explores the integration of Python into educational environments as a tool for teaching students how to process data from multiple Excel files. With the growing importance of data literacy in a data-driven world, the study demonstrates how Python, with its powerful libraries such as Pandas and NumPy, can improve students’ ability to extract, clean, and analyze complex data sets. The authors propose a structured methodology that educators can replicate to effectively teach data science skills. Using real-world statistical reporting data, the study illustrates the practical application of Python in an educational context. The results highlight the advantages of Python over traditional methods such as Excel and underscore the importance of equipping students with data analysis skills to meet future challenges.

The paper is devoted to the problem of creating a unified model of digital competencies of higher education teachers. Focusing on universal digital competencies leaves aside the training of specialists for specific enterprises with their own digital resources. The models presented in the scientific literature define as constituent elements the educational ones directly related to the activities of an educational institution. The paper discusses the aspects of improving the presented models related to the needs of the labor market and specific industry in specialists. The authors of the paper have conducted a study aimed at expanding the understanding of the model of teachers’ digital competence development at an engineering university based on the opinions of experts from education, digital technologies and employers. The results of the study confirmed the hypothesis: the focus on the universalization of digital competencies and weak attention to the need of enterprises in specific digital skills in employees, leads to the lack of specific digital competencies in future specialists due to the specifics of digitalization of the enterprise. The inclusion of specific digital technologies in the practical training, as well as the accompaniment of teachers by tutors from the enterprise will further create the basis for improving the quality of training for specific enterprises or industry needs.

The use of modern digital technologies in the process of training financial managers enables future graduates to be more competitive in the labor market, to meet the demands of employers and improves the quality of the educational program implemented at the university. The ability to apply digital technologies in the process of future activities of financial managers enables them to quickly adapt to changes in the internal environment. And the introduction of digital components in the realized competences gives the opportunity to master new digital technologies, to constantly improve them and then successfully apply them in their professional activity.The paper considers the information resources used in the process of training financial managers on the example of Kazan National Research Technological University. The application of digitalization elements in the educational process allows students to master new digital platforms independently, since their primary skills were formed already in the first courses, and not only in mastering professional, but also universal and general professional competencies. Based on the experience gained in the implementation of digital components, it is proposed to introduce them in all other disciplines of the curriculum, or to fix them to the competencies implemented in the main educational program. This will enable graduates - financial managers to freely use the acquired skills and competencies in practical activities, and will also lead to the need for teachers to constantly improve their qualifications in this area.

The relevance of the study is due to the constant transformation processes occurring in higher education. The modern high-tech digital world places demands on the improvement of educational activities. The implementation of digital solutions is becoming not just a trend, but a necessity to ensure the competitiveness of universities and training of specialists who meet the requirements of the digital economy. In this regard, a study aimed at identifying trends used by university teachers, their attitude to the use of digital technologies and their readiness for innovation in this area is of particular relevance. The leading method of the presented study was a survey, in which 103 teachers from two leading Kazan universities took part. Structural and comparative analysis of the survey results allowed us to obtain an objective picture of the current state of integration of digital solutions into the university educational process, identify problem areas and determine prospects for further development. As a result of the study, trends and priorities in the use of digital trends were identified: artificial intelligence has become the leader in teachers’ preferences in the last 3 years, the use of mobile devices is becoming less relevant, and there is little interest among teachers participating in the study of universities in the inclusion of gamification in the educational process. The data obtained will form the basis for the development of effective strategies for implementing digital solutions, advanced training of teachers and improvement of educational programs, which ultimately will contribute to improving the quality of higher education and training in-demand specialists.

The article discusses information resources, portals, platforms, databases and various technologies that allow students to learn the true and authentic history of the war years of our country. The study of military history events is an important aspect in the formation of a civic position, and educational activities should be based on the use of modern information technologies. The implementation of civilian information technologies helps preserve the memory of the tragic military pages of our state, outstanding soldiers and heroic deeds committed to protect the territorial integrity, independence and security of the country. Virtual tours allow you to demonstrate historical and cultural heritage, instill a sense of love, admiration and respect for native places. The authors considered such information technologies as the “ARTEFACT” platform, virtual tours, “Nuremberg. VRdict of the peoples”, VR-reconstruction. “Unknown standard-bearer”, GDB “Memorial”, GDB “Feat of the people”, portal “Memory of the people”, website “No statute of limitations”, and information portal “Living History”.

The article examines the relationship between digital intelligence and artificial intelligence, with an emphasis on the pedagogical aspects of this problem. The author emphasizes that the creation of AI requires not only technical literacy, but also developed digital thinking, supported by clear ethical principles. Particular attention is paid to the role of modern education in the formation of such specialists - the school should educate not just IT specialists, but people who are able to responsibly use technology. The work analyzes the various levels of digital competencies required in professional activities, and also provides an overview of scientific publications on the implementation of artificial intelligence in the educational process. The study demonstrates how important it is to combine technological progress with humanistic values in the training of future personnel.

The problem of finding measurable indicators reflecting the quality of education at universities is considered. It is shown that the existing methods of compiling university rankings are guided de facto by the analysis of the prerequisites for obtaining a quality education, but not by the actual result. The problem of finding a measurable indicator that reflects the level of competence of university graduates remains unresolved. It is shown that the solution to this problem can be found through finding the optimal distribution of students by competence levels, which, in turn, can be established using classical methods of statistical physics. It is shown that it is possible to find an analog of the Boltzmann distribution, reflecting the distribution of students by competence levels for given macroscopic parameters, which are the characteristics of a particular university (by analogy with such macroscopic parameters as temperature and pressure). Using the reference theoretical distribution of students by competence levels, we can offer a measurable indicator, which is a measure of the deviation of the real distribution of grades received by students at exams from the theoretical optimum. The influence of subjective factors on the result of calculating the specified measurable indicator is discussed. It is shown that even with attempts to artificially distort the result, its impact on the quality of the educational process remains positive.

The digital environment is rapidly changing contemporary socio-cultural space, including higher education. The aim of this research is to analyze the opinions of residents of the capital megapolis of Russia – the city of Moscow – regarding the necessity and sufficiency of higher education; to identify factors that influence these opinions. The results of the study fully showed that almost all respondents consider higher education to be important and necessary, but not complete and high-quality enough in the era of digitalization, which requires constant, continuous and flexible learning. The gender and current level of education of the respondents do not influence the opinion about the need for higher education, younger survey participants are more likely to doubt its necessity, while the older generation tends to consider higher education both necessary and sufficient. It has been determined that respondents’ perceptions of the necessity of higher education are statistically significantly connected with defining a university as a practice-oriented platform with a qualified teaching stuff and various forms of extracurricular activities and student leisure. The connection has also been identified between the perception of a university as the source of corruption threats and the opinion about the lack of necessity for higher education.

The successful self-realization of a person in life, first of all, depends on his health. The restoration measures to maintain health is motor activity. In terms of work on the designated topics, the article proposes a combination of health forms, comfortable environmental conditions, information technologies and pedagogically organized socialization. The proposed means of research showed a positive trend in use. The analysis of literary sources made it possible to identify the potential of pedagogically organized socialization among the city residents, in order to unite in interest groups, and the development of mentoring. Carrying out a sociological survey of residents of the metropolis, revealed the preference of citizens in choosing a recreational route for a healing run. The use of technologies of the geoinformation system in the work of the metropolis routes in terms of a healing run. The inclusion of AR-technology, Web-site, specialized sports electronic applications, revealed an increase in interest in the study of digital technologies and increasing the motivational component for sports involved in recreational places. The final results made it possible to conduct a comparative analysis of the studied routes. In addition, to formulate the conclusions that the visual consideration and use of the maps of routes, the use of the proposed funds, had a positive impact on the participants in the study and contributed to the active inclusion of people in recreational health activities.

The paper discusses the issues of activating comprehensive research of modern information technologies, in particular the basics of artificial intelligence, in the education system and scientific research of students of higher education in order to form a favorable, effective, qualitative and ethical process of obtaining knowledge in the context of the formation of an information society. The scientific study presents a detailed retrospective analysis of the conceptual and categorical apparatus of “artificial intelligence” from the perspective of generally recognized scientific theories and leading ideas of domestic and foreign scientists for further theoretical and methodological consolidation. The relevance of scientific research lies in the fact that university students strive to learn high-level technologies. These technologies help them to solve the problems of self-control and self-organization on their own. They help to shape the student’s personality, variably thinking, creative personality with a new type and level of thinking. The purpose of the research is also to reveal and systematize the features of scientific discourse regarding the potential, trends and directions of adequate and ethical use of artificial intelligence technologies in the educational process and scientific research of students of higher education as an instrument of educational reform, as a means of increasing the effectiveness of their educational achievements, as a means of intensification and individualization of the formation of professional knowledge and skills of future specialists in the era of public informatization.

The article considers one of the most relevant issues of modern education in general and university professional training in particular. The subject matter of the paper is the description of fundamental psychological notions and theories that can be implemented to foster online course development efficiency. The concepts described are cognitive theory and behaviorism. The authors justify a set of pedagogical approaches that are to be incorporated while creating online courses. The approaches discussed are the constructivist, the neurobiological and the postmodern ones. The article provides the deliberation and results of the conducted experiment to prove the theoretical assumptions on above mentioned psychological and pedagogical issues.

When studying in the field of training “01.04.02 Applied Mathematics and Computer Science” (focus “Models and Methods of Artificial Intelligence”) at the Physics and Technology Institute of V. I. Vernadsky Crimean Federal University, master’s students are traditionally taught the course “Intellectualization of Information Processing” (IIP). The name of the course was born based on the All-Russian scientific conference of the same name, which is traditionally held by the Federal Research Center “Informatics and Control” of the Russian Academy of Sciences. During practical classes in the IOI course, project teams are formed, work is organized in groups of three people on each of the projects. In recent years, students have quite successfully taken on solving problems in the field of intellectual analysis of big data, social network analysis, image analysis (memes), discrete optimization problems (search for optimal routes), etc. To solve such problems, neural network technologies, heuristic algorithms, and statistical data processing methods are used. It should be noted that some of these projects are continued in scientific papers and a number of works have been published on certain topics. One of the interesting areas was the development of augmented reality applications. This article presents the results of the project team’s work on creating 3D models of interior augmented reality based on 2D schemes.

The article gives proof of the relevance and needs for preservice teachers to develop the competence in using distance technologies to teach children with disabilities. To achieve this goal, the description of competence modules, normative and pedagogical literature, both school and university teaching experience have been analyzed, the development of competence has been proposed, and the corresponding experimental work has been designed and implemented. On this basis, the possibilities of distance technologies have been revealed, demonstrating their effectiveness as a means of organizing education for children with disabilities. Technological, psychological, pedagogical, and methodological modules for the formation of preservice teachers’ competence in using distance technologies for teaching children with health limitations are shown to use distance technologies for teaching children with disabilities have been determined. Specifics of teacher training for the use of distance technologies for the organization of individual work of teacher-student, independent work of teacher-consultant, the inclusion of children in a lesson in real-time, inclusion of children in collective activity are disclosed. The developed competence will allow preservice teachers to use computer equipment and software for education and socialization of children with disabilities; it also helps build a system of work on psychological and pedagogical support for the training; to form an attitude of acceptance and tolerance among classmates; to develop methodological material, special teaching methods concerning special needs and capabilities of children with health limitations, as well as to organize, monitor and adjust their education.

Recently, knowledge in the field of artificial intelligence in order to modernize various aspects of human activity has played a significant role. The exploration of the opportunities and difficulties associated with the development of artificial intelligence technologies is becoming an important area of research, as it profoundly affects our perception of work, education, medicine and other spheres of existence. New methods of machine learning, deep learning and reinforcement learning are being developed. These technologies are changing our understanding of how machines can learn and adapt to the world around them. The application of artificial intelligence covers many areas, including healthcare, finance, education and industry. In medicine, for example, AI can improve diagnostic accuracy and develop customized treatments. In education, it is possible to create personalized learning plans for each student. While in industry, artificial intelligence technologies are able to optimize production processes and increase business efficiency. However, despite the potential benefits associated with learning artificial intelligence technologies, there are serious challenges that require careful analysis. These challenges include ethical dilemmas, such as issues of algorithm transparency and responsibility for making principled decisions. Data security and privacy are also among the key aspects that require innovative approaches to AI technology training.The main purpose of the research is to deeply analyze the prospects and challenges in the field of artificial intelligence technology training, provide a comprehensive understanding of the current state of this field, identify key areas of development and propose practical strategies for effectively overcoming challenges. Taking into account both positive and negative aspects, it is necessary to have a meaningful look at the future of artificial intelligence technology education, taking into account social, ethical and technical aspects.

The article discusses educational platforms, examines their role in the modern educational process through a comparative analysis. The concept of a data analysis platform, types and advantages of use in the educational process are described. The purpose of the study is to identify students’ opinions on the use of analytical platforms in educational activities. During the study, a survey of students working with data analysis platforms was conducted. Empirical methods were implemented in the process of conducting an online survey of students within the framework of the discipline “Methods and Ways of Data Analysis” - students were given the task of analyzing the data provided by the teacher using the following platforms: Python, Tableau and Anaconda. During the work, students were tasked with conducting a comprehensive assessment of the data of specialized data analysis platforms, including an analysis of their functional characteristics, ease of use, effectiveness in solving the assigned tasks and accessibility. This task was set for second-year students of two groups: the specialty “Information Security of Automated Systems” of the North Caucasus Federal University, and the specialty “Computer Science” of Prince Mohammad Bin Fahd University. It was found that students currently believe that the best application for working with machine learning is Anaconda, which provides an interface and supports a huge number of languages.

The article explores the potential of utilizing distance learning technologies to support and encourage the development of gifted children. Analyzed are the advantages of distance learning technologies as exemplified by the Junior Academy of Sciences, such as individualization of learning, access to unique educational resources and flexibility in organizing the educational process and development of independent work skills. Surveying the students of the Junior Academy of Sciences have shown a high degree of satisfaction with the new format, which provides flexibility and accessibility. The research analyzes the advantages of blended learning formats allowing for effectively combining the traditional teaching methods with the modern distance technologies. Particular attention is paid to the adaptation of curricula, the use of interactive platforms, as well as support for students during the transition to the new learning formats. The article considers the methods for improving the process of teaching gifted children mathematics, computer science and physics, as well as the possibilities of distance learning technologies in achieving this goal. Developed and tested is a website for the distance support of students in mathematics, computer science and physics. Recommendations have been compiled for the creation and use of teachers’ personal websites in order to improve the process of teaching mathematics, computer science and physics.

Scientific and technological progress significantly influences education system development today. This paper explores integrating augmented reality technology into mathematical education. Our research proceeded in two phases: first, developing software that generates model meshes for augmented reality applications; second, demonstrating this application’s implementation and discussing its advantages in mathematics instruction. The paper examines and illustrates the use of ArUco marker-based augmented reality technology. We provide theoretical background on developing AR-based mobile applications for mathematics education at both school and university levels. The research presents a Python-based mobile application that utilizes device cameras to implement augmented reality when studying “Surfaces of the second-order,” enhancing visualization and comprehension of complex mathematical concepts.

The article discusses didactic issues of implementing of AI-assisted tools into foreign language training of linguistics students. The purpose of the study evaluate the potential and analyze the case of integrating an AI-assisted tool into a foreign language course. Methodologically the study rests on two didactic approaches, namely a competence-based approach and a personal activity approach. The analysis of the functional scope of AI-assisted tools used for academic linguistic and practical linguistic purposes is carried out. A brief comparative analysis of the available options with an account of essential functional characteristics is given. Based on the needs-analysis the choice of a particular platforms for the training process is reasoned. A set of teaching principles was observed to master the target skills in the experiment. To estimate the efficiency of the training process and development of the target skills, a questionnaire was compiled and offered to students. The analysis of students’ performance as regards the focus communicative interaction skills was carried out. Challenges in combining traditional and AI-assisted tools in the educational process are analyzed; the ways to overcome them are recommended. The study suggests that the use of AI-assisted tools in foreign language training of linguistics students can be based on a combined approach aimed at improving the quality of individual work and further consolidation of target skills in contact time.

Relevance. In the modern world, characterized by rapid digitalization of all spheres of life, preschool education also does not remain aloof from the influence of technological innovations. However, this process requires a balanced and critical approach that takes into account both the potential opportunities and risks associated with the use of digital technologies in preschool age. The problem of this study has as its source the contradictions arising between the conscious positive influence of the digital educational environment on educational results and significant shortcomings in methodological support. The purpose of the study is to analyze existing digital products that can be used in the educational process of kindergarten for the comprehensive development of senior preschoolers in five different educational areas. Method: a theoretical review of studies that have been published over the past five years and concern the impact and structuring of the digital educational environment in kindergarten, as well as the potential of digital tools for the comprehensive development of senior preschool children. Conclusions: digitalization of preschool education requires a balanced and conscious approach. Digital tools can be a useful addition to traditional forms of education, training and development of preschoolers, but should not replace them completely. At the same time, the risk increases that artificial intelligence can replace natural intelligence, since children will not learn to think independently. It is important to integrate digital resources into the educational process in a measured and appropriate manner, using them to diversify activities, increase children's motivation, individualize learning, but at the same time maintaining the priority of live movement, active games, direct interaction with the outside world and peers.

The relevance of the research is associated with the lack of objective analysis of the positive and negative aspects of the influence of neural networks on the educational outcomes of university students. Educational results are recorded through quantitative data (scores) which indicate how well students have assimilated knowledge and developed necessary skills, competencies, and personal qualities during their study of both cultural and professional blocks. The study of the influence of neural networks on educational outcomes in several universities in the Republic of Tatarstan showed that the use of neural network resources significantly affects cognitive activity and the ability to independently acquire new knowledge. The reliability of the results was assessed using Pearson’s χ2 (chi-square). It was found that in higher education institutions, the negative effects of neural networks manifest as a decrease in student activity in scientific and technological events, as well as a decline in interest in creativity. This occurs despite the existence of numerous government programs aimed at developing students’ creative potential. The conclusion was made that the effectiveness of using neural networks to enhance students’ educational outcomes depends on the presence of methodological and technological approaches, which are currently being developed by many programmers and pedagogical researchers.

In today’s rapidly evolving landscape, where economic progress hinges on scientific and technological advancements, the integration of Artificial Intelligence (AI) into scientific research is gaining momentum. This paper explores the potential of AI systems to automate and enhance various stages of the scientific research process, addressing the increasing demands placed on young scientists and graduate students. It examines how AI tools can be leveraged to improve efficiency, objectivity, and innovation across key research activities, from literature review and hypothesis generation to experimental design and data analysis. The study analyzes the benefits of AI in facilitating tasks such as automated data collection, pattern identification, and the interpretation of complex datasets, highlighting the advantages of using platforms like Semantic Scholar for targeted literature searches. However, the paper also critically assesses the challenges and limitations associated with AI-driven research, including concerns about data quality, algorithmic bias, security vulnerabilities, and ethical considerations related to data privacy and transparency. The analysis emphasizes the need for robust data validation, expert human oversight, and the development of appropriate training and skill sets to ensure the responsible and effective implementation of AI in scientific research. Ultimately, the paper advocates for a balanced approach that combines the power of AI with the critical thinking and domain expertise of human researchers, paving the way for more impactful and groundbreaking discoveries. Further, it puts forth a series of core principles to help guide effective implementation of AI tools for research.

The article discusses the results of some studies of distance learning. Distance learning has developed rapidly due to the coronavirus pandemic. The forced use of this form of education has shown that teachers are not ready to work in such conditions. The main advantages and disadvantages of using distance learning, the main areas of using the experience of their application in the post-pandemic period are analyzed. The development of distance learning stimulates the development of open education as a modern phenomenon. The need and demand for affordable, free education is ensured by the use of electronic distance courses based on modern learning management systems with strict regulation of the content and process of learning. At the same time, open education provides students with the freedom to choose the time and place of study. The article provides an analysis of modern domestic open education resources available for use in teaching mathematics to schoolchildren, using the capabilities of developing digital technologies in lessons and extracurricular activities in mathematics. The Russian Electronic School, Sferum and others are considered as the main domestic platforms. The first of the named platforms was developed within the framework of the departmental target program of the Ministry of Education and Science of the Russian Federation “Russian Electronic School”. The capabilities of the most common software tools in activating the educational and cognitive activity of students and increasing the level of subject knowledge are also shown.

The aim of the study is to improve the study of mathematics topics for middle school children by developing a software implementation of an adaptive educational system using machine learning. During the research, the topic of quadratic equations was chosen as the basis for the research and development of an adaptive system. During the testing of the adaptive system, mistakes were specifically made to simulate the consolidation of knowledge during the educational process and make sure that it works and is able to adapt to the individual level of each student, increasing the level of knowledge gained and contributing to the consolidation of the material.To achieve this goal, Python code was developed in the Jupyter Notebook development environment. Python libraries were also used, in particular the scikit-learn library for implementing machine learning. The presented approach and software implementation can be used both by teachers to check students and track their progress, and by students themselves to assimilate and consolidate the material and knowledge gained in the lessons.The results obtained during the study demonstrate an increase in the effectiveness of adaptive learning methods using machine learning.

Social media plays a significant role in bringing the world together with just a click. However, social media addiction is rapidly increasing, especially among the youth, which affects their mental health and well-being. Instagram is one of the social media sites that is used mainly by students. Due to increasing exposure to Instagram, including the short videos, called Reels, today's students consume the content at an alarming rate, thus becoming addicted to it. College students tend to relentlessly use Instagram, without considering the time and energy wastage or addressing its impact on their mental health and well-being. The present study aimed to (1) explore the relationship between Instagram usage and mental well-being among college students in India, and (2) examine whether Instagram usage serves as a meaningful predictor of students’ mental well-being. The findings reveal a significant negative correlation (r = −0.332, p < .001) between Instagram usage and students’ well-being, indicating that higher Instagram use is associated with lower levels of mental well-being among college students. Further, a simple linear regression analysis confirmed that Instagram usage is a significant predictor of well-being (F(1, 154) = 19.099, p < .001), explaining a meaningful portion of the variance. The results highlight the need for educators, parents and other stakeholders to recognise the influence of social media, especially Instagram, on students’ mental health and well-being and develop strategies to promote healthier usage patterns.

COVID-19 pandemic has affected higher education all over the globe. The unprecedented situation has brought changes in teaching at universities. Universities across the world decided to teach online. By the time, teachers’ hone online teaching Skills Universities resorted to hybrid teaching. Teachers are oblivious to hybrid teaching and had situational anxiety. In spite of all teachers started their hybrid classes. The present study assumes transtheoretical model for hybrid learning derived from ecosystem theory. Recent research is yet to capture the hybrid teaching experiences of university teachers amid COVID-19. The present study employed qualitative research method to capture in-depth understanding of hybrid teaching experiences. Study interviewed eight University teachers to understand the hybrid teaching experiences and applied interpretative phenomenological analysis (IPA) to interpret the interview data. The findings of the study emerged with themes and sub-themes describing hybrid-teaching experiences and listed major challenges faced by them. Few of the challenges are handling online and offline students’ group simultaneously, technology integration to classes, technological barriers, and COVID-19 anxiety. Study recommends more research in the area for broader understanding of nuances of hybrid teaching. Nevertheless, to find solution to the challenges faced by the teachers while conducting hybrid classes.

Currently, in the context of digital transformation of education, special attention is paid to the collection and analysis of the digital footprint of the student, the study of which helps to model the physiological, psychological and cognitive characteristics of students, allows you to effectively build personal development trajectories, digital profiles of students, control the learning process, increasing its effectiveness. Based on theoretical analysis, the article reveals the essence of the concept of «digital footprint» in the concept of education, the type of collected digital footprint depending on the information system used. The purpose of the work is to form professional competencies of students based on the analysis of the active digital footprint. The authors describe the components of the digital footprint and the use of various methods and tools for data processing, such as statistical analysis, a software platform for data research using an extensive set of analytical tools KNIME Analytics Platform. The results indicate that the analysis of the active digital footprint of master’s students studying in the profile «Digital Technologies in Science and Education» contributes to the development of their professional competencies. The conclusion provides examples of practical applications of the digital footprint and draws conclusions about its main possibilities for teachers and students.

The AI Tool/Mobile Application for hearing impaired that will help to bridge communication gaps between the hearing and hearing-impaired communities of India, a country that contains more than 63 million hearing-impaired citizens. Such a system utilizes complex technologies including speech recognition, NLP, and computer vision to provide real-time translation, thus enhancing interaction in such vital sectors as health, education, and public services. The AI-based approach therefore tackles the shortcomings of the traditional sign language interpreters: scalable and instant translation, which will make sure that the users, can access crucial services by themselves. The proposed application for Indian Sign Language (ISL) will significantly enhance the quality of life in the lives of the hearing-impaired by promoting social participation and positive interaction in various aspects of the community. It translates from the spoken languages, like English and Hindi, into ISL gestures and vice versa, translating ISL gestures into text or speech.

Modern education in probability theory and mathematical statistics (PTMS) increasingly includes programming elements that allow you to automate routine calculations, visualize distributions and random processes, conduct numerical experiments, and solve complex analytically unsolvable problems.The paper examines approaches to integrating programming into the educational process, analyzes popular tools (Python, R, MATLAB), and offers methodological recommendations. The main methods of teaching mathematics, estimating the complexity and time of solving problems in probability theory and mathematical statistics are highlighted. An experiment was conducted to solve problems manually and using a program.

The situation with the COVID-19 pandemic and the massive transfer of elements of the educational process to electronic and remote formats have spurred the development of digital technologies and their widespread implementation in higher education. Obviously, independent work and part of the lectures will remain in digital format. The situation looks more complicated with seminars, practical, and even more so laboratory classes, but the percentage of digital technology use in them will steadily increase. The learning technology itself is becoming hybrid, multimodal, combining elements of a classical approach – classroom classes with a teacher, as well as a large percentage of distance, electronic, and online education. All this brings to the fore the problem of the formation and support of digital educational content of higher education institutions. The main problem of many electronic educational systems, including moodle, is a sharp increase in the labor costs of teachers in the preparation, placement and maintenance of digital educational content. This problem is of an international nature, the main focus of research is on the introduction of increasingly new technological solutions, but they do not always help reduce the burden on the teacher. This problem came to the fore during the COVID-19 pandemic, especially in the teaching of high-tech disciplines (IT, natural sciences, medicine, etc.). As a result, updating the methods of calculating teachers’ labor costs is required. A possible solution to this problem may be a conditional division into areas with a standard CSC, an advanced and advanced CSC level. This will allow you to control the process of increasing time (and financial) costs and introduce the most advanced technical IT solutions into the educational process. A formula is also proposed for calculating the teacher’s time spent on the preparation, development and placement of the CSC, taking into account the three levels of complexity of the CSC. The provisions of the methodological package and the information support package for teachers have been developed in order to reduce the time spent working with the COC, which will improve the quality of digital educational content.

The article presents the decomposition method and examines its application in higher education institutions to develop students’ professional competencies. The foundation for implementing this method is the project-based learning approach, widely recognized within engineering and technological education in the field of mathematics teaching methodology. The theoretical and methodological aspects of applying the decomposition method in interactive learning environments for university students are explored. Examples illustrating the decomposition method’s application in studying contemporary educational platforms and various didactic tools for mathematics instruction within methodological coursework are provided. Research studies employing the decomposition method in constructing educational projects used across diverse educational systems and frameworks are analyzed. The article also highlights prospective directions for utilizing the decomposition method in developing professional competencies among university students.

The article considers an OLAP model for analyzing the student success in distance learning in natural science courses and adjusting the learning process based on individual indicators. The proposed model allows you to get a number of reports on the success of mastering the material by students on topics in a group: a report on mastering the topic of the course allows you to visualize the picture of the progress of the group as a whole, the distribution of tasks completed by the test. Reports on the individual success of the student include a visualization of the performance of a specific test of the student and a report on the assimilation of the subject for a certain period of study. Data analysis based on this model allows for pedagogical monitoring of learning success, building individual student trajectories and correcting the learning process.The proposed OLAP model allows you to get a visual picture of the development of the subject as a group of students, as well as a picture of the individual achievements of the student.

The article discusses methods of training communication skills in linguistics and media studies with the use of AI-powered technologies. The study works out a model to train pragmatic interaction, pursuing and counteracting strategies and tactics, analyze its strong and weak points. The model is based on preliminary analysis of communication principle of balanced communication. The use of AI-assisted options in linguistics and media studies is given with account of their application and best practices of use. The selection of a prospective tool to be used in the developing the model was reasoned by its options of maintaining dialog interaction. The model rests on the accepted communication principles and target skills to be obtained within linguistics and media studies. On this basis, a comprehensive model has been developed. The model incorporates six stages: preliminary, introductory, preparatory, training, feedback and reflection ones. Each stage covers activities starting with communicative and technical aspects, proceeding with the functional and the reflection one. Prospective challenges in introduction and testing of the model in the academic context are analyzed, the ways to cope with them are proposed. The results of the study suggest that the introduction of AI-technologies in the process of training communication pragmatic skills requires comprehensive AI-powered tools so that various relevant skills could be trained.

A new approach to the psychological testing of students is proposed, based on pairing the text of a science fiction novel with a neural network. The text of the novel, specially written for this work, is full of hyperlinks, the transitions on which provide a connection with the neural network. More precisely, each link is a neuron of the first layer of the network. When following this link, the state of the neuron changes from zero to one. As a result, a well-defined digital image of the reader interacting with the novel is created, fixed in binary variables and analyzed by the neural network.

The article examines the role of social networks such as the Telegram channel, VKontakte and other platforms as a tool for creating a digital educational environment. The channel’s visual content, including illustrations, photographs, videos, stickers and emojis, is analyzed in order to identify the features of its use and impact on communication with the audience and educational organizations. The study, using the Skolkovo LIVE channel as an example, shows that social networks effectively use visual elements to structure information, attract attention and create a positive image in the digital environment. Particular attention is paid to the dominant role of illustrations, the use of corporate identity and sticker packs, as well as the use of emojis to visually highlight key points.