Specific Software Tools Research Articles

Визуализация данных как стратегический инструмент в оценке эффективности экономической деятельности компании в конкурентной среде

In a rapidly changing digital environment, companies face the challenge of quickly and efficiently developing economic solutions. Making effective economic decisions directly affects the competitiveness of the company in the market. This article raises the problem of assessing the efficiency of an enterprise’s economic activity associated with the study and elaboration of a large amount of data. Working with a large array of data and then analyzing them allows companies to get a detailed idea of how their business functions and what factors can influence its success. This approach is based on the use of mathematical and statistical methods, as well as on the use of special software tools that allow you to efficiently process and analyze large amounts of data. At the same time, the results of data analysis can be presented in the form of graphical reports that help to make more informed decisions based on the facts of the dynamics of development and contribute to improving the economic efficiency of the company. A graphical report refers to the presentation of data in a visual format with the designation of medians and exceptions. In this article, the methods of system analysis and synthesis, the method of induction, content analysis of scientific literature and statistical reviews on the subject under study were applied. With the development of the process of digitalization of the organization’s activities, data analysis has become simply a necessary tool in the process of developing and making cost-effective decisions. In the article, the authors substantiate the strategic importance of the use of data analysis in economics, entrepreneurship and business.

From Knowledge to Wisdom: Looking beyond the Knowledge Hierarchy

Although there is a long history of searching for the road from knowledge to wisdom, there is no final and clear result. In fact, there are multiple ways of starting from knowledge and reaching wisdom due to the complexity of the semantic domains of both concepts. In addition, there are different perspectives on interpreting these conceptual maps, ranging from philosophy to psychology or management. We are interested in understanding the connecting ideas between knowledge and wisdom from the management perspective, where decision making is the key driving force for transforming knowledge into efficient actions for creating value for customers through products and services. The well-known knowledge pyramid or wisdom pyramid is a good metaphor to start with in understanding the basic concepts of data, information, knowledge, and wisdom (DIKW) and their transformations. We analyze different interpretations of these four basic concepts and focus on the transition from knowledge to wisdom, looking beyond the DIKW pyramid. Additionally, to get a larger view of the multiple connections between knowledge and wisdom, we perform a bibliometric analysis using VOSviewer as a specialized software tool. The contribution of the present paper comes from this enlarged framework of searching for links between knowledge and wisdom and analyzing their relevance to business management. The results are relevant to anyone who would like to understand how to manage efficiently knowledge in their organizations. We explain the semantic differences in interpreting the concepts of “information” and “knowledge” in philosophy, information science, and knowledge management, which can be useful both in theory and in practice.

Software-Tool Support for Collaborative, Virtual, Multi-Site Molecular Tumor Boards

The availability of high-throughput molecular diagnostics builds the foundation for Molecular Tumor Boards (MTBs). Although more fine-grained data is expected to support decision making of oncologists, assessment of data is complex and time-consuming slowing down the implementation of MTBs, e.g., due to retrieval of the latest medical publications, assessment of clinical evidence, or linkage to the latest clinical guidelines. We share our findings from analysis of existing tumor board processes and defininion of clinical processes for the adoption of MTBs. Building on our findings, we have developed a real-world software prototype together with oncologists and medical professionals, which supports the preparation and conduct of MTBs and enables collaboration between medical experts by sharing medical knowledge even across the hospital locations. We worked in interdisciplinary teams of clinicians, oncologists, medical experts, medical informaticians, and software engineers using design thinking methodology. With their input, we identified challenges and limitations of the current MTB approaches, derived clinical process models using Business Process and Modeling Notation (BMPN), and defined personas, functional and non-functional requirements for software tool support. Based on it, we developed software prototypes and evaluated them with clinical experts from major university hospitals across Germany. We extended the Kanban methodology enabling holistic tracking of patient cases from “backlog” to “follow-up” in our app. The feedback from interviewed medical professionals showed that our clinical process models and software prototype provide suitable process support for the preparation and conduction of molecular tumor boards. The combination of oncology knowledge across hospitals and the documentation of treatment decision can be used to form a unique medical knowledge base by oncologists for oncologists. Due to the high heterogeneity of tumor diseases and the spread of the latest medical knowledge, a cooperative decision-making process including insights from similar patient cases was considered as a very valuable feature. The ability to transform prepared case data into a screen presentation was recognized as an essential feature speeding up the preparation process. Oncologists require special software tool support to incorporate and assess molecular data for the decision-making process. In particular, the need for linkage to the latest medical knowledge, clinical evidence, and collaborative tools to discuss individual cases were named to be of importance. With the experiences from the COVID-19 pandemic, the acceptance of online tools and collaborative working is expected to grow. Our virtual multi-site approach proved to allow a collaborative decision-making process for the first time, which we consider to have a positive impact on the overall treatment quality.

Techniques for creating and printing historical architectural artifacts in 3D

The authors outline techniques for creating and printing three-dimensional models that can be used to graphically rebuild old architectural pieces. The construction of a model of the 1950s Parochial Cathedral of St. Mary of the Perpetual Assistance serves as an illustration of the methodologies' order of operation. The most widely used specialized software tools have been examined and evaluated, and the 3DS Max environment has been selected to create a three-dimensional model. The suggested software solutions provide effective methods for handling large amounts of data and are pertinent to current IT developments. They also boost the accuracy, speed, and granularity of fixing complex systems and extended databases. The order and nature of the operations for the cycles of analysis and modeling are supported. The cathedral model was constructed from old photos and sketches. To reconstruct the architectural object, the authors discuss techniques, an algorithm of steps, and the fundamentals of architectural and spacious modeling. The stereogram miniature of the demolished Cathedral is used to create the three-dimensional model. The measurement of picture parallax serves as the foundation for the reconstruction of spacious object configuration. The phases of the project's execution are chosen. Methods for implementing modeling using 3DS Max tools and getting the model ready for 3D printing in Cura are presented.

Специальные инструменты выявления и противодействия недобросовестным практикам с цифровыми финансовыми активами

Purpose: The article discusses conceptually new approaches to resist using cryptocurrencies and electronic payment means in unfair practices. As a result, it was found that all of them are aimed at revealing suspicious transactions and deanonymized individuals involved in illegal activities. The conclusion is substantiated that information and analytical systems constitute promising special tools for effective control of cryptocurrency market and blockchain networks. The research theoretical basis comprises scientific publications of the experts specialized in the issues of involvement, blockchain technology, distributed registries and cryptocurrencies at the investigation of crimes as well as foreign software tools, applied in the field of blockchain networks security. Methods: In the research, the author relies on deduction, generalization, synthesis and system analysis methods. Results: Determination of the capabilities of foreign and domestic software special tools in the field of virtual wallet providers and exchange operators (such as “crypto-currency brokers’ board”, etc.). Practical significance: The mechanism of functioning of special software tools for deanonymization of transactions in order to resist the use of cryptocurrencies and payment electronic means in unfair practices is presented.

Optimized deep networks for the classification of nanoparticles in scanning electron microscopy imaging

The major role of many research studies in nanotechnology is to identify, count, and measure nanoparticles. Images with particles are often handled by hand, employing a computer program ruler. The lack of available algorithms and specialized software tools for analyzing microscope images are limited in this research area. So, this study aims to encourage the development of a comprehensive model to predict the nanoparticles type in scanning electron microscopy (SEM). We present a dataset of 750 ordered nanoscale materials. Palladiumnanoparticles (Pd nanoparticles) are placed on a carbon surface using a scanning electron microscope. This paper proposes an intelligent optimization model to classify Nanoparticle types in SEM images (e.g., lines, intersections, networks, ellipses, and circles). The utilized dataset is unlabeled with the imbalanced distribution of classes. Moreover, it contains a large amount of redundant information. These kinds of problems affect the performance of the nanoparticle’s classifier. The proposed model can be divided into four phases: preprocessing, feature extraction, feature selection, and classification. The first phase of the Nanoparticle classification model is concerned with image labeling, where some morphological operations and image filtration are proposed to help experts in labeling the SEM dataset. VGG-19 deep networks in combination with Grey Wolf Optimization (GWO) are used for feature extraction and selection phases. The imbalanced input data classification phase proposes a class weight balancing support vector machine (SVM) with different kernel functions. Detailed results of all experiments show that the proposed intelligent optimization model is promising in providing a high-performance classifier for nanoparticle types in SEM images. Overall performance measures are 97% and 98% for overall accuracy and F1-score, respectively.

Collaborative Learning Supported by Blockchain Technology as a Model for Improving the Educational Process

After COVID-19, new accreditation standards include the need for developing better learning and teaching environments. This will be supported and connected with digitization, entrepreneurship, social inclusion, and a circular economy. The orientation towards equity and quality in education clearly imposes the need for an individual approach to each student separately. This situation is especially pronounced in higher education institutions in the field of technology, whose primary goal is very often individual training for use of highly specialized software and hardware tools. In such a situation, it is necessary to move away from the classical ex-cathedra methodology and develop student-centered learning environments. Global accreditation systems for teaching, learning, practice, and business communication can be simplified using blockchain. On the basis of blockchain technology (BCTs), this paper proposes a Collaborative Learning and Student Work Evaluation (CLSW) model that includes a multi-frontal teaching method (VFN) and combines scientific peer-review standards. BCTs are used to protect student project and assessment data storage and transmission. Assisting higher education institutions in finding “employable capabilities” of proactive students is the idea of CLSW. Before implementing the CLSW paradigm, a poll of lecturers’ views on BCTs was conducted. The poll results show a desire and willingness to teach with BCTs. The model’s fundamental capabilities and the key participants’ duties were described in a project framework. Additionally, this research and proposed model can improve educational process sustainability in general, as it is an open platform easily accessible by all the interested parties, thus contributing to life-long learning.

A conservative method for estimating the uncertainty for the probability of an upper-level event in a fault tree

Abstract. Aim. The aim of the paper is to construct a non-simulation method for finding the confidence interval for the probability of an upper-level event of a failure tree. Iterative Monte Carlo algorithms require very much time and computational resources, especially for large fault trees. Therefore, developing “fast” algorithms for finding uncertainty in a calculated fault tree is extremely important.Methods. The algorithm was developed using classical methods of the probability theory, mathematical statistics and dependability theory. The mathematical foundation of the algorithm is the central limit theorem and certain properties of the dispersion of a random variable from the probability theory. To simplify calculations, the confidence interval was built on the assumption of a lognormal distribution of the failure rate estimate with a certain specified error factor. The initial information consists of a set of minimal cross-sections defined for the fault tree using specialized software tools, as well as dependability parameters of the events in each of the cross-sections. The cross-sections may contain dependent events that are part of common cause failure (ССF) groups. Various ССF accounting models, including the betafactor model, alpha-factor model, etc., can be used to calculate the probability of such events. To simplify the set of cross-sections, a program code is used that groups the cross-sections that are identical in value and meaning. Results. A conservative method for constructing a confidence interval for the probability of an upper-level event in a fault tree was developed. The method is not iterative and allows identifying the uncertainty of the final result for randomly-sized fault trees.Conclusions. The algorithm for identifying the uncertainty can be used instead of the Monte Carlo method in specialized software suites that calculate fault trees.

Cyber Sleuths: The Transformative Role of Computers in Forensic Analysis

This document highlights the importance of computers in the field of digital forensics. As the world progresses towards digitalization, various industries are increasingly recognizing the advantages of incorporating digital processes into their operations. Digitalization facilitates efficient and rapid workflows, and it can be achieved through the use of computers or systems. To perform digital forensic tasks, the installation of specific forensic software tools on a computer is essential. This enables faster and more streamlined procedures. For instance, computers played a significant role in expediting COVID-19 testing through positive forensic tests in 2020. The utilization of computers greatly simplifies the testing process.

INFORMATION INTERACTION OF DESIGN PROCEDURES AT THE STAGES OF SYSTEM DESIGN OF A FLEXIBLE MANUFACTURE SYSTEM

An analysis was made of the main methods of automated design of a flexible production system (FPS) and the experience of creating a FPS, as a result of which the goal and main issues for an integrated automation system were determined, including special software, information, algorithmic and mathematical tools in the process of developing a FPS related to field of instrumentation. As the goal of the work, the task was set to create an interface for information interaction of design procedures and operations at the stages of system engineering design of the FPS in the field of radio-electronic industry. The analysis of the sources for the development of FPS of various types of electrical installations showed that the stages of designing and implementing such systems require a long time for creative and experimental research at the stage of system design. Based on the results of a comparative analysis of computeraided design systems for electronic elements for automating the control system and their devices, it was concluded that the solution of problems for the control of FPS belong to the category of difficult formalized ones and their solution requires the creation of logical modeling algorithms presented in the form of logical, frame, semantic and production models; the study of the features of technological processes in the fields of science and technology does not allow applying a unified approach to the creation of computeraided design tools. A model for searching the required information from databases in the form of logical knowledge by an associative feature from the library of electronic elements according to a step-by-step algorithm is proposed, reading information from the library of the selected CAD system environment and writing it into the working database of computeraided design of electronic equipment of the automated control system of the FPS.

PEP 8 Compliance Analysis for Python Open Source Projects

he use of the Python language in large projects in combination with modern development methodologies entails a number of tasks for checking and standardizing program code in order to improve its quality. For the Python language, PEP 8 is the current standard. Verification procedures are performed by specialized software tools — linters that use static analysis methods. This paper investigates the main violations of the PEP 8 standard in Python open source projects. In addition, an analysis was made of the effectiveness of automatic formatting of program code using the Black and YAPF formatters.

Влияние цифровой революции на развитие искусственного интеллекта и внедрение технологий автоматизации роботизированных процессов в деятельность современной компании

The subject / topic. The state of the information space in the conditions of the digital revolution and the new realities of the digitalization process affecting all spheres of human activity, including the development of artificial intelligence and robotics to displace human labor through special software tools when performing monotonous and routine production operations. The aim of the article. Generalization of the influence of artificial intelligence on the activities of modern companies and their employees. The study substantiates the need to support domestic companies in the field of software development based on the «market in exchange for investment» mechanism. It involves the conclusion of an agreement between the government and software developers with the status of systemically significant organizations to ensure competitive advantages in the digital environment and replace the largest foreign software companies that have left the Russian market after the start of a special military operation in Ukraine. Automation of robotic processes is considered. Conclusions / significance. Conclusions are drawn about the need to develop an effective state policy of Russia on the introduction of artificial intelligence into production using modern logistics chains.

Состояние и перспективы развития методического обеспечения технической защиты информации в информационных системах

The goal of article is determine the main areas for development, composition and structure of prospective methodological support for the organization and maintenance of technical protection of information in information systems.The method of research: is summary and analysis the existing methodological support for organization and maintenance of the technical protection of information from unauthorized access and its development trends in the interests of the conversion from qualitative to quantitative procedures of substantiation requirements and selection process to build information security system in information systems. The result of the research: The factors defining the need to develop methodological support for the organization and maintenance of technical protection of information have been identified, including subject area extension of information protection, the need to move to quantitative research methods, algorithms and procedures for assessment the possibilities of implementing information security threats, the need to justify the requirements for technical protection of information and select protection measures and means. Data volume has increased dramatically and processes of information gathering and analysis are impossible without the use of corresponding special software tools and complexes. The composition and structure of prospective methodological support have been developed, including using modern methods of artificial intelligence theory (machine learning, artificial neural networks (ANNs)), the apparatus of composite Petri-Markov nets, risk theory, etc., for the tasks of categorizing the information systems and the information processed in them, identifying information security threats and vulnerabilities, as well as threat risk assessment considering time factor. It was noted that the introduction of such support into practice is impossible without the creation of software systems that automate categorization processes, quantitative risk assessments of implementing threats and building information protection systems. Scientific novelty: a systematic idea of the composition, structure and prospects of development methodological support has been identified for the organization and maintenance of technical protection of information to solve problems of categorizing the information systems and the information processed in them, forecasting, assessment the possibilities and consequences of implementing information security threats. Author contributions: Soloviev S.V. - assessment of the status and research of the prospects of development methodological support for the categorization the information system and the information processed in them; Tarelkin M.A. - study of methods of threats forecasting for information security and their prospective applications in the management of the Data Bank of information security threats of FSTEC of Russia; V.V. Tekunov - ways to build a promising system for threat forecasting to information security based on the monitoring publications results about them on the Internet; Yazov Yu.K. - general guidance, assessment of the states and prospects of development methodological support for risk assessment of implementing information security threats.

The influence of concert hall architecture on acoustics (the effect of musical performance)

The article analyzes the influence of the architecture of the concert hall on acoustics and the formation of the effect of musical performance. The author notes that the architecture of a concert hall can be of great importance in providing an acoustic effect. In addition, the acoustics of a concert hall can influence how musicians perceive their playing and how the audience perceives the work. Some factors that may affect the acoustics of a concert hall include the shape and size of the hall, the materials used to finish the walls and ceiling, the location of the stage and audience seats, as well as acoustic equipment. The shape of the concert hall affects how sound waves are reflected inside the hall. An ideal concert hall should have a shape that allows sound waves to spread evenly in all directions and reflect off the walls and ceiling in such a manner that a uniform sound background is created. This helps to create clarity and clarity of sound. At the present stage, special software tools are used to simulate sound in the hall, experiments are carried out with various acoustic materials and the arrangement of elements in the hall, and experienced architects who have deep knowledge in the field of acoustics and sound engineering are also involved.

Digitalization of accounting in the context of ensuring business competitiveness

The article highlights the importance of digitalization in the modern world for the development of accounting and audit. It is noted that the relatively recent development of information technology and computerization of all spheres of human activity have led to significant changes in approaches to business. These changes showed the need to apply digital technologies in all industries. Accounting and audit is no exception. The article explores the impact of digitalization on the development of accounting and audit. It is determined that the use of digital technologies can increase the accuracy of accounting and audit, reduce the possibility of errors and increase the speed of operations, reduces the cost of these processes and increases the efficiency of work. The use of digital technologies allows us to develop new methods and tools for accounting and audit, which is very important in changing business conditions. The article discusses the main challenges and obstacles that may arise during the digitalization of accounting and audit, for example, insufficient qualifications of personnel, high costs for the introduction of new technologies, problems with data security and insufficient understanding by customers of the possibilities of digitalization in accounting and audit. The need to constantly improve the skills of specialists in the field of accounting and audit is noted so that they can use new technologies and techniques in their work. It is noted that the use of digital technologies in accounting and auditing can make these processes more transparent and accessible to all parts, which is important in changing business conditions and the development of society as a whole. The article also discusses data security issues that may arise when using digital technologies in the field of accounting and auditing. The authors note that specialized software must be used to ensure data protection, and comply with relevant standards and regulations. It also emphasizes the importance of ensuring the confidentiality and protection of personal data of customers. Highlights the benefits of using cloud technologies to store and process data in accounting and auditing, the possibilities of using blockchain technologies to ensure data security are considered. In addition, the article discusses the introduction of digital technologies in auditing, in particular the use of data analytics and artificial intelligence. This allows you to increase the efficiency and accuracy of the audit process, and also provide a wider scope of data analysis. Based on the analysis, the author of the article concludes, that digitalization is a promising direction for the development of accounting and audit. Recommendations for the implementation of digital technologies in the field of accounting and audit, in particular, it is recommended to ensure data security, comply with relevant standards and rules, use specialized software tools, and ensure the confidentiality and protection of personal data. The article offers new approaches to the use of technologies in the field of accounting and auditing, and emphasizes that, the use of digital technologies can improve the efficiency and accuracy of the accounting and audit process. The introduction of digital technologies in the field of accounting and audit is a necessary step in the development of these industries, therefore, their use can provide a competitive advantage for enterprises.

EDGE ARCHITECTURE FOR ROBOT DATA COLLECTING IN A DIGITAL TWIN

The paper describes a software system for data collecting in robot digital twins (DT); this system accesses information and data from the robot, the process automated by the robot and the devices connected to the robot (conveyor belt, ASRS, smart meter) via an edge processing structure that includes the robot controller and IoT gateways. The software system includes a data acquisition agent directly connected to the edge processing hard-ware, a database where the collected information is stored and a user interface with multiple data display options. The designed DT software collects robot data in two modes: continu-ously from the robot controller and the IoT gateways using specific software tools available from the robot manufacturer, and discretely from program instructions by messages. Experiments with the DT data collecting system are given for ABB IRC5 robot controllers.

ECOLOGICAL AND GEOCHEMICAL FEATURES OF MANGANESE DISTRIBUTION IN GROUNDWATERS OF UKRAINE

The results of hydrogeochemical studies on the identification of the features of manganese distribution in drinking groundwater of conditionally clean and technologically polluted territories of Ukraine are presented, as well as the assessment of the influence of inorganic ligands characteristic of the investigated groundwater on the behavior of Mn2+ depending on the initial conditions of the water environment. The Kyiv city, as well as Zhytomyr, Vinnytsia, and Rivne regions were selected as conditionally clean territories; Kyiv and Dnipropetrovsk regions — as technologically polluted territories. According to domestic and foreign literary data, the range of medical, biological, and toxicological properties of manganese is outlined, and the key features of the element prevalence in natural aqueous solutions and underground waters are clarified. Manganese and ferrum concentrations in the samples of the studied groundwater were determined using the high-precision method of mass spectrometry with inductively coupled plasma (ICP-MS). As a result of the statistical processing of the studied samples, it was established that the median manganese content for most of the examined territories does not exceed the maximum permissible concentration. The exception is the underground water of the Pidhirtsi village (Kyiv region), where the concentration of the element exceeds the standard by almost 4 times. A comparative analysis to determine the relationship between the manganese and ferrum concentrations and the depth of water intake structures did not show any regularities characteristic of natural waters undisturbed by technogenic activity. It was revealed that the largest deviations from the background values for manganese are typical for the Dnipropetrovsk region, and for ferrum — for the Kyiv city. Statistically significant relationships between the concentrations of manganese and ferrum in the examined samples were not found, which indicates the different geochemical nature of the elements concentration processes in the studied groundwater. Using the specialized software tools Hydra and Medusa, the finding forms of manganese depending on the pH of the water environment in studied samples were calculated. The obtained ratios of the element soluble forms for conditionally clean and technologically polluted territories of Ukraine made it possible to establish that in the water of conditionally clean territories, manganese migrates mainly in the form of free Mn2+ ion, and to a much lesser extent (11%) in the form of MnSO4. On the other hand, within the technologically polluted territories, the key role belongs to the inorganic ligand SO42–, the ratio of soluble compounds MnSO4 and Mn2+ is, respectively, 56% to 44%. The obtained results can serve as a basis for the selection of criteria when performing biogeochemical zoning of the territory of Ukraine.

Нормативы скорости автомобиля в планировании перевозок с использованием электронных путевых листов

The development of digital technologies unveils prospects for paperless document management in road transport, which is confirmed by a pilot project on the use of an electronic shipping manifest and a bill of lading. It is important to use the shipping manifest not only as a digital document, but also as a specialized software tool for calculating planned and actual performance indicators of vehicles as part of the enterprise management information system. An algorithm is proposed for constructing the information system for managing transport activities using electronic waybills, which are used as software for calculating planned performance indicators of vehicles and summarizing the results of transportation. The established standards and legal documents regulating the transfer of document flow in the field of road freight transportation to electronic basis are given. The importance of reasonable standards of average technical speed and idle time of vehicles at loading and unloading points for scheduling the performance of freight trucks on routes is illustrated. The factors influencing the value of the average technical and operational speed of a vehicle during transportation are studied and systematized, recommendations on establishing of their regulatory standards are given, formulas for calculating quantitative values are provided. Based on the specified standard of average technical speed, the calculation of the radius of cargo delivery during the day in intercity communication is demonstrated.

Analysis of software products for the development of electronic textbooks in the information and educational environment of the university

At the current stage of development of the educational space, one of the ways to enhance the learning activities of students is the use of information technology. The use of electronic information and educational resources in the educational process (e.g., electronic textbooks and teaching aids) can contribute to the development of independent research activities of students, increase their cognitive and professional interest. The article analyzes requirements for existing educational materials that can be used to improve the information and educational environment of the university. Specialized software tools for creating electronic textbooks are considered, the advantages and disadvantages of electronic textbooks are investigated, and the priority functions of software tools used in universities are described.

METHODOLOGICAL FEATURES OF USING IMMERSIVE TECHNOLOGIES IN PRIMARY SCHOOL TEACHER TRAINING

The article discusses the features of using immersive technologies in the educational process of primary school. In the context of distance and blended learning, in addition to the use of various digital technologies, Internet resources and interactive tools in the educational process, it is effective to use special software tools to visualize, demonstrate and reproduce various phenomena. The need to train future teachers to use immersive technologies and the lack of methodological support for teachers proves the relevance of the chosen research topic. In the article, the authors demonstrate the advantages of using immersive technologies (virtual and augmented reality), virtual laboratories and mobile applications in the training of future primary school teachers in the integrated course "Art". The article presents a sample of existing immersive applications that educators most often use in art classes. Based on the analysis of modern online resources, it is proposed to systematize them in terms of their use in the educational process of higher education institutions under martial law for the training of future primary school teachers. In the conditions of the real educational process, the study was conducted on the basis of Borys Grinchenko Kyiv University and during the internship of students in the secondary school of Kyiv. Kyiv, which made it possible to identify the best software tools for use in primary education institutions and during the training of students majoring in 013 "Primary Education": information and reference (electronic encyclopedias, virtual tours, 360° museums), simulation programs (Crayola Art-Studio multimedia graphic editor, Crello online tool, PaperOne training program), laboratories (Chrome Music Lab (Oscillators, Kandinsky, Sound Waves, etc.) Toyteatre). Ensuring that future primary school teachers are properly trained in the use of immersive technologies is a key to successful informatization of education, which will ensure quality and effective education for future generations.