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08:30-17:00 Session 6: On-site Registration, Virtual Session Rooms Information, Helpdesk


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10:30-11:20 Session 7: Welcome and Conference Opening

ALL TIMES IN THE PROGRAM ARE EEST (Ukrainian local) TIMESSession Room: Сonference room: 256

Aleksandr Spivakovsky (Kherson State University, Ukraine)
11:30-13:00 Session 8: Keynote 1
David Esteban (TECHFORCE, Spain)
Simona Levi (Xnet, Spain)
The Bookbinder and the Exorcist: The Future of Digitalisation in Education (and Everything Else Besides)
13:00-14:00Lunch Break
14:00-15:30 Session 9A: MC-ICT-Research 1
Vadim Ermolayev (Zaporizhzhia National University, Ukraine)
Nguyen Thi Ngan (Industrial University of Ho Chi Minh City, Viet Nam)
Bui Huy Khoi (Industrial University of Ho Chi Minh City, Viet Nam)
AIC Algorithm for a decision to choose the supermarket: Evidence from Vietnam

ABSTRACT. The paper explores factors influencing a decision to choose the supermarket: Evidence from Vietnam. Data used in the study was collected by the author from highly reliable information sources and primary data collected through a survey of 201 clients. To analyze and evaluate data, this paper has used the following methods the AIC algorithm and Regression analysis. Through research results show that most customers are most concerned with the factors of a decision to choose the supermarket. Based on theory and previous studies, this research is done through 2 phases, qualitative research and quantitative research, using non-probability sampling. Finally, Research results have identified four factors affecting the decision to choose the supermarket for shopping, including Location, Perception of prices and products, Attitude of employees, and Reference. This study uses the optimal choice by the AIC Algorithm for a decision to choose the supermarket: Evidence from Vietnam.

Iryna Strutynska (Ternopil Ivan Puluj National Technical University, Ukraine)
Lesia Dmytrotsa (Ternopil Ivan Puluj National Technical University, Ukraine)
Halyna Kozbur (Ternopil Ivan Puluj National Technical University, Ukraine)
Liliya Melnyk (Ternopil Ivan Puluj National Technical University, Ukraine)
Roman Sherstiuk (Ternopil Ivan Puluj National Technical University, Ukraine)
The Unification of Approaches to Measuring the Digital Maturity of Business Structures (International and Domestic Approaches)
PRESENTER: Liliya Melnyk

ABSTRACT. The current state of digital technologies in domestic business is drastically different from the world’s one. The use of international methodologies to determine the level of digital maturity of business using appropriate indicators is not acceptable for domestic realities due to the low overall level of use of digital technologies in the economic space. The task of developing a national methodology for determining the index of digital maturity of business is relevant and important. Such a methodology should take into account the current state of the national economy, reflect an in-depth analysis of digital maturity indicators of business structures and take into account their dynamics, while being flexible to respond quickly to new economic processes and phenomena, and provide further unification with international methodologies (e.g. DESI). The article analyzes the international approaches to measuring the digital maturity of business structures, and offers its own national methodology for determining the index of digital maturity of business developed on its basis

Dmytro Terletskyi (V. M. Glushkov Institute of Cybernetics of NAS of Ukraine, Ukraine)
Sergey Yershov (V. M. Glushkov Institute of Cybernetics of NAS of Ukraine, Ukraine)
Difference of Fuzzy Homogeneous Classes of Objects

ABSTRACT. Analysis of relevance, similarity, and the difference between newly extracted or acquired knowledge and previously obtained ones are important stages of the knowledge integration process for modern knowledge-based systems. These stages can be performed via the application of special operations dened over the knowledge representation structures provided by chosen representation model. Within the object-oriented approach, classes are one of the main knowledge representation structures, consequently, the analysis of the relevance, similarity, and difference between them requires the development of corresponding operations over classes. Therefore the concept of universal difference exploiter of fuzzy homogeneous classes of objects, within such a knowledge representation model as fuzzy object-oriented dynamic networks, was introduced in the paper. To implement the proposed exploiter, which allows computing of the difference of one fuzzy homogeneous class of objects from another one, we developed the corresponding algorithm and provided an example of its application. The proposed approach provides an opportunity to evaluate the relevance and novelty level of extracted or acquired fuzzy knowledge compared with previously obtained ones by computing the difference between them.

14:00-15:30 Session 9B: MC-ICT-Education 1
Mykola Nikitchenko (Taras Shevchenko National University of Kyiv, Ukraine)
Viktor Shynkarenko (Dnipro National University of Railway Transport named after academician V. Lazaryan, Ukraine)
Valentyn Raznosilin (Dnipro National University of Railway Transport named after academician V. Lazaryan, Ukraine)
Yuliia Snihur (Dnipro National University of Railway Transport named after academician V. Lazaryan, Ukraine)
Automated Monitoring of Content Demand in Distance Learning

ABSTRACT. In this paper the research of means and the development of software for matching the student's gaze focus with the structure of information on the computer monitor during distance learning is presented. Widespread hardware is envisaged to be used. Primary processing of the face image, eye regions separation is performed by means of the OpenCV library. An appropriate algorithm to calculate the center of the eye's pupil has been developed. The influence of the system calibration process with different schemes of calibration point display, its delay time on the screen and location of the additional camera according the accuracy of the calculation the coordinates of the gaze focus is investigated. Based on the performed experiments, it was defined that the error of gaze focus recognition with using two cameras can be reduced to 4-10\%. The proposed approach makes it possible for objective measurement the working time of each student with one or another part of content. The lecturer will have the opportunity to improve the content by highlighting significant parts that receive little attention and simplifying those elements that students process for an unreasonable amount of time. It is planned to integrate the developed software with the LMS Moodle in the future.

Viktoriia Dyomina (Kharkiv National Agrarian University named after V.V. Dokuchaev, Ukraine)
Tetiana Bilova (Kharkiv National University of Radioelectronics, Ukraine)
Iryna Pobizhenko (Kharkiv National University of Radioelectronics, Ukraine)
An Information System to Support the Process of Internal Quality Assurance of Educational ProgramsAn Information System to Support Internal Quality Assurance of Educational Programs

ABSTRACT. The article examines the issues of internal evaluation of the quality of educational programs in higher education institutions. The estimation is based on the involvement of stakeholder representatives. The evaluation criteria of the educational program are presented in the form of a rooted tree, where the root is the final grade. Multiple-valued logic is used to analyze the estimates made by stakeholders. It is proposed to translate the quantitative component of the assessment into a qualitative one. An algorithm for processing the set estimates has been developed. Differences in the assessments of different groups of stakeholders confirm the need to improve the elements of the educational program. A model of a database designed for the storage and processing of information related to the internal evaluation of the quality of educational programs has been developed. The proposed information system to support the process of internal quality assurance of educational programs allows to process quality indicators from different target groups and derive an overall assessment. The obtained data can be used for further improvement of educational programs

Ihor Chernetskyi (National Center “Junior Academy of Sciences of Ukraine”, Ukraine)
Iryna Slipukhina (National Center “Junior Academy of Sciences of Ukraine”, Ukraine)
Nataliia Kurylenko (Kherson State University, Ukraine)
Sergii Mieniailov (National, Ukraine)
Magdalyna Opachko (State University «Uzhhorod National University», Ukraine)
Application of Tracker Video Analysis for Distance Learning of Physics

ABSTRACT. Educational experiments, demonstrations, and laboratory works are the basis for the natural sciences study. The drastic restriction of lessons in a real physics laboratory in 2020 – 2021 clearly demonstrated their negative effect on quality of education. In terms of distance and blended learning, video analysis of real experiments, processes, and phenomena is a real competitor to the corresponding digital models. The free software Tracker toolkit allows measuring physical quantities on the basis of video material, processing the received data and comparing them with mathematical models. Tracker usage expands methods of obtaining and practical application of information, shows how to identify the actions of laws and, therefore, forms the scientific competency of students. The general rules for creating educational videos suitable for analysis using Tracker are given in the article. There are demonstrated different approaches to creating instructions for laboratory works based on video analysis on the examples of labs such as measuring the acceleration of free fall (mechanics), determining the surface tension of a liquid (molecular physics), the study of the rotational motion of the Sun (astronomy). Reference videos, didactic recommendations, a collection of video problems, and instructions on non-traditional methods of educational experiment adapted for video analysis using Tracker have been created. They are posted in the section «Instrumental digital didactics» of the resource stemua.science of the National Center «Junior Academy of Sciences of Ukraine», which is popular among online users. Video analysis techniques are used for formal and non-formal education of pupils and students in the conditions of COVID-19; this has been verified during trainings of educators and summer distance physics school (2020).

15:30-16:00Coffee Break
16:00-17:30 Session 10A: MC-ICT-IS 1
Vladimir Peschanenko (Kherson State Univ, Ukraine)
Serhii Vladov (Kremenchuk Flight College of Kharkiv National University of Internal Affairs, Ukraine)
Yurii Shmelov (Kremenchuk Flight College of Kharkiv National University of Internal Affairs, Ukraine)
Marina Petchenko (Kharkiv National University of Internal Affairs, Ukraine)
Neuro-Fuzzy Expert System for Control and Diagnostics of Helicopters Aircraft Engines Technical State
PRESENTER: Serhii Vladov

ABSTRACT. The paper has solved the actual scientific and practical problem of constructing a fuzzy expert system for control and diagnostics of helicopter aircraft engines technical state in flight modes. The algorithm for control and diagnosing of air-craft engines technical state has been further developed on the basis of a modified method of diagnostic matrices and fuzzy logic, which differs from the existing ones in that due to the introduction of fuzzy expert rules corresponding to the physics of processes occurring in aircraft engines with a free turbine, it has made it possible to increase the confidence coefficient decision-making on the presence of a defect in a particular node of the flow path of helicopters aircraft engines at the stage of helicopters flight operation. The implementation of a fuzzy expert system with the use of a Wang-Mendel fuzzy neural network is proposed, which made it possible to determine on a test example the presence of a defect in the compressor, the presence of which indicates a 1 % degree of pressure increase in the compressor.

Dmytro Zubov (University of Central Asia, Kyrgyzstan)
Andrey Kupin (Kryvyi Rih National University, Ukraine)
Weight-based Load Balancing in Raspberry Pi MPICH Heterogeneous Cluster with Fuzzy Estimation of Node Computational Performance
PRESENTER: Dmytro Zubov

ABSTRACT. Dynamic load balancing is a key methodology that is used to speed up computing clusters nowadays. The work sharing and the work stealing are two opposite algorithms with various implementations based on predefined metrics like performance, response time, fault tolerance, resource utilization, and scalability. For the heterogeneous soft-/hardware in the Raspberry Pi MPICH cluster, weight-based load balancing is the most efficient approach since different parameters such as type of CPU and OS, RAM, workload, microSD card capacity, power consumption, and OS release date can be taken into consideration. These parameters are described numerically and linguistically, and hence the fuzzy logic is applied to estimate the performance weights of the cluster nodes. Then, this information is used to distribute the workload among the cluster nodes to minimize the execution time. In this project, fuzzification, formation of fuzzy rules, fuzzy inference, and defuzzification are applied to find the performance weights. The defuzzification is based on the multiplication operation. In the cluster with two Raspberry Pi 4B boards with 2 GB RAM and Raspberry Pi 64-bit OS with desktop and one Raspberry Pi 3B board with 1 GB RAM and Raspberry Pi 32-bit OS Lite, recommended performance weights are (5, 5, 1), respectively. The Python program for the prime numbers finding algorithm implements the proposed weight-based load balancing approach that is approximately five times faster than the basic algorithm with equal loading for the maximum integer number 300000.

Andrii Dashkevych (National Technical University "Kharkiv Polytechnic Institute", Ukraine)
Darya Vorontsova (National Technical University "Kharkiv Polytechnic Institute", Ukraine)
Sergii Rosokha (NPP "Specpozhtehnika" Ltd, Ukraine)
Approach for Determination of Drone Positions Set with Maximal Terrain Visibility

ABSTRACT. In recent years, unmanned aerial vehicles (UAVs) have been found in many practical applications, one of the challenging problems is the estimation of the optimal path of the UAV to cover the target area. The visual inspection and monitoring with UAVs is the example of such applications and they have been attracted increasing attention in recent years. In our paper we present a novel approach to approximately estimate a set of viewpoints to reach maximal visibility of the polygonal model of the terrain in linear time. The proposed approach is based on a subdivision of a terrain model on a regular grid and on using ray casting technique to solve a terrain cover problem.

16:00-17:30 Session 10B: MC-ICT-Education 2
Vitaliy Kobets (Kherson State University, Ukraine)
Yana Dybchynska (Zaporizhzhia National University, Ukraine)
Iryna Shavkun (Zaporizhzhia National University, Ukraine)
Liudmyla Bukharina (Zaporizhzhia National University, Ukraine)
Oksana Onyshchenko (Zaporizhzhia National University, Ukraine)
Social economic aspects of ICT use in educational: lessons from the pandemic
PRESENTER: Yana Dybchynska

ABSTRACT. The article is dedicated to the search of new scientific solutions to intensify the use of ICT in the field of education. The study has proved that under the pandemic conditions and the introduction of quarantine restrictions, the use of ICTs in the provision of educational services has sharply increased. The emphasis is put on the growing number of barriers and problems caused by the increased use of ICT in the field of education under the pandemic conditions. It is noted that the study the socio-economic aspects of activating the use of ICTs in the provision of educational services under quarantine restrictions is crucial. The identification of social aspects of the activation of the use of ICT in the field of education has been carried out on the example of Ukraine and the presence of significant gaps in gender, age and territorial characteristics has been revealed. Special attention has been paid to the economic aspects of enhancing the use of ICTs in the provision of educational services using the example of Ukraine and the existence of gaps only for low-income families has been proved. The study has identified two groups of participants in the educational process, namely: educational services providers (teachers, professors of universities and other educational institutions, trainers, consultants); consumers of educational services. The study emphasizes the necessity to study and identify other factors of activating the use of ICTs in the provision of educational services, since the identified ones do not fully reveal all aspects of this process.

Muhammet Demirbilek (Suleyman Demirel University, Turkey)
Durmuş Koç (Usak Uiversity, Turkey)
In Their Own Words: Teachers Experiences and Activities in 3D Virtual Worlds for Foreign Language Teaching

ABSTRACT. The purpose of this qualitative research study is to investigate teachers’ percep-tions of the use of the 3D simulated virtual world Second Life, and factors that affect their willingness to integrate virtual worlds into foreign language instruc-tion. Specifically, participants’ perceptions toward issues and viability of their current practices of Second Life (SL) were examined. The potential of SL in edu-cation has yet to be fully explored and exploited. Eight educators who have been teaching English as a foreign language online and utilizing SL to adult learners since 2006 were interviewed. Data analysis consisted of three phases: Phase I- Breakdown of the text; Phase II- Examination of the breakdown; and Phase III- Integration of the examination. Themes of the interviews that surfaced during the interviews were categorized into current practices, perceptions, and viability. Analysis of responses indicate that SL is used as pedagogy and another form of education for meeting students’ social needs using today’s advanced technology. Regarding the viability of SL were as follows: building 3D representations of learning objects; attractions: animation/graphic design/ virtual words/games; and cultural diversity The viability and future of SL are promising; in particular, Sec-ond Life has great potential as a 3D simulated virtual school that provides newly developed pedagogy to meet participants’ social needs.

Rostyslav Tarasenko (National University of Life and Environmental Sciences of Ukraine, Ukraine)
Svitlana Amelina (National University of Life and Environmental Sciences of Ukraine, Ukraine)
Sergey Semerikov (Kryvyi Rih State Pedagogical University, Ukraine)
Conceptual Aspects of Interpreter Training in the Context of Modern Simultaneous Interpretation Technologies
PRESENTER: Svitlana Amelina

ABSTRACT. The article deals with the implementation in universities of conceptual changes in interpreter training in the context of modern simultaneous interpretation technologies. The idea of human-computer interaction as an alternativeless symbiosis for achieving qualitatively new levels of organisation, implementation and efficiency in the simultaneous interpreting process is substantiated. The implementation of the concept of information technology training of interpreters in the content aspect provides for the expansion of their knowledge and skills in the application of information and communication technologies in the preparation and processing of simultaneous interpretation. The practical implementation of the concept in the form of formation of information and technological competence of a simultaneous interpreter is proposed. The ways of forming this competence are defined.

17:30-18:00Coffee Break
18:00-19:00 Session 11: Posters 1
Grygoriy Zholtkevych (V.N. Karazin Kharkiv National University, Ukraine)
Dmytro Bodnenko (Borys Grinchenko Kyiv University, Kyiv, Ukraine)
Valentyna Hladkova (Borys Grinchenko Kyiv University, Kyiv, Ukraine)
Mylana Sablina (Borys Grinchenko Kyiv University, Kyiv, Ukraine)
Volodymyr Proshkin (Borys Grinchenko Kyiv University, Kyiv, Ukraine)
The Use of the Cloud-Oriented Learning Technologies for the Formation of Digital Competencies of the Future Specialists of the Socionomic Profile
PRESENTER: Dmytro Bodnenko

ABSTRACT. Based on a survey of experts, the components of the digital competence of the specialists in socionomic professions are identified: information literacy and the ability to work with data; creation of digital content; communication and interaction in the digital society; security in the digital environment; solving problems in the digital environment and lifelong learning. The model of using cloud- oriented learning technologies for the formation of digital competencies of the future socionomics specialists is theoretically substantiated and experimentally tested. The stages of formation of digital competence of the future specialists of socionomic profile by means of cloud-oriented learning technologies are developed.

Andrey Kupin (Kryvyi Rih National University, Ukraine)
Yuriy Osadchuk (Kryvyi Rih National University, Ukraine)
Rodion Ivchenko (Kryvyi Rih National University, Ukraine)
Oleg Gradovoy (Kryvyi Rih National University, Ukraine)
The Methods for Training Multilayered Neural Networks Structures of Technological Appointment
PRESENTER: Andrey Kupin

ABSTRACT. The analysis of existing methods of training multilayered of neural networks structures is made. The way computer modelling investigates the most effective methods of training. Recommendations of application of the selected methods on an example of problems of multilayered approximation for concentrating technology are given.

Andrey Kupin (Kryvyi Rih National University, Ukraine)
Dennis Kuznetsov (Kryvyi Rih National University, Ukraine)
Ivan Muzyka (Kryvyi Rih National University, Ukraine)
Yurii Kumchenko (Kryviy Rih National University, Ukraine)
The Сoncept Of Cyber-Physical System For Intelligent Battery Health Assessment And Road Range Forecast
PRESENTER: Dennis Kuznetsov

ABSTRACT. The use of up-to-date artificial intelligence systems to estimate and predict accurately the rechargeable battery life of modern electric cars is becoming a fairly common approach. After all, the incorrect and inadequate assessment of the electric car's operation affects the timeliness of its maintenance, which in turn impacts the overall service life of the most important mechanisms and parts of the car, in particular the engine and the battery. This article discusses the concept of using a cyber-physical system to predict the Road Range and the State of Health of an electric car based on the use of soft computing ap-proaches (ANFIS). This made it possible to determine more accurately the individual Road Range and the State of Health indicators of an electric car depending on many parameters (temperature, driver's driving style and the current BMS indicators of the battery). The proposed approach can be used in IoT networks in order to obtain more accurate information from data of more cars.

Denis Kozlitin (Borys Grinchenko Kyiv University, Ukraine)
Liudmyla Kozak (Borys Grinchenko Kyiv University, Ukraine)
Tetiana Krystopchuk (Rivne State University of the Humanities, Ukraine)
Diana Kochmar (Academician Stepan Demianchuk International University of Economics and Humanities, Ukraine)
Application of Augmented Reality in the Process of Education and Development of Students' Cognitive Activity
PRESENTER: Denis Kozlitin

ABSTRACT. The article analyzes the study of domestic and foreign scientists who consider augmented reality as an instrument of education. The authors present aspects of the study of AR technology in education, conducted by modern foreign scholars, in particular, application of technology of augmented reality in the mobile-oriented environment of a higher educational institution; creating a mobile application for visualization of educational material from natural disciplines using AR technology; prospects of usage of virtual and augmented reality in the educational process; strategies for using AR-technologies in training. It was determined that Ukrainian scholars emphasized the usage of a mobile applications in to educational process as the means of distance training in conditions of pandemia. It has been established that the use of augmented reality in the educational process has a number of peculiarities and benefits, in particular, augmented reality is a highly interactive resource that causes emotional experiences; complete immersion in to the training process due to 3D visualization and elements of gamification; the possibility of a smooth transition from abstractions to real models; activation of research activity by means of collecting, comparing, analyzing and displaying experimental data. The separate services of using visual methods, in particular, Merge, VoyageAR, Quiver, 3dBear are analyzed. The authors separated the following services as: GoogleLens, LabCamera, SketchAr, Tinkercad among the 2D instruments. It is noted that the didactic material used in the training course is realistic models and images created using 3DSmax and Photoshop editors. The methods of using the instruments of augmented reality as an example of the projects Lego robotechnic (applications Just a line, Merge Cube Viewer, LabCamera, ARRuler, FaceRig). The usage of applications during the implementation of the project of natural direction "As Butterflies Live" (Sketch Ar, Voyage AR, LabCamera, 3dBear, Qlone) is considered.

Yevhenii Shapovalov (National center of Junior Academy of Sciences of Ukraine, Ukraine)
Viktor Shapovalov (Junior Academy of Sciences of Ukraine, Ukraine)
Taxonomy model of representing of science studies

ABSTRACT. Taking to account the problem of the high amount of scientific data, it is relevant to develop methods of it's structuration and processing. Using ontology graphs is the perspective modern way to provide. Taking to account that most studies is written based on IMRAD, it was used to provide integration of different studies at a single structure and provide structuration at all. The different ways to create integrated ontology using IMRAD have been described. To get the necessary level of abstraction IMRAD elements as part of a set of specific study were de-composed as levels of abstraction from L1 (general integration node with genial-ized data) to L5 (specific papers with specific data) depended on the abstraction. The content of each node in form of metadata and its further processing is de-scribed. The specific way of the usage of proposed modes has described on the example of the describing studies in the field of biogas production. The proposed approach can be used in a single field or be even more integrated and be devoted to the structuration of the works in different fields.

Anna Bielienka (Boris Grinchenko Kyiv University, Kyiv, Ukraine, Ukraine)
Olena Polovina (Boris Grinchenko Kyiv University, Kyiv, Ukraine, Ukraine)
Inna Kondratets (Boris Grinchenko Kyiv University, Kyiv, Ukraine, Ukraine)
Tetiana Shynkar (Boris Grinchenko Kyiv University, Kyiv, Ukraine, Ukraine)
Kateryna Brovko (Boris Grinchenko Kyiv University, Kyiv, Ukraine, Ukraine)
Using of ICT in the Training of Future Teachers on the Material of the Course «Art Education of Preschool Children»
PRESENTER: Kateryna Brovko

ABSTRACT. The article highlights the problem of training of future teachers on the material of the course «Art Education of Preschool Children». The main attention is paid to the use of ICT as an effective means of improving the quality of education and the formation of information culture of applicants. The scientific researches devoted to application of Information and Communication Technologies, definition of levels of readiness of students to use ICT and the outline of the received skills of the teacher who has mastered information and communication competence are analyzed. The principles, methods and forms of ICT use in the context of the discipline «Art Education of Preschool Children» are revealed and its efficiency is demonstrated. The correlation between forms and methods of interaction with applicants and certain information and communication technologies is shown, the possibilities of using each of them are specified. Factors of ICT use efficiency are determined.

Nina Rudenko (Borys Grinchenko Kyiv University, Ukraine)
Svitlana Palamar (Borys Grinchenko Kyiv University, Ukraine)
Liudmyla Nezhyva (Borys Grinchenko Kyiv University, Ukraine)
Gennady Bondarenko (Borys Grinchenko Kyiv University, Ukraine)
Denys Shyrokov (Borys Grinchenko Kyiv University, Ukraine)
The Use of ICT Tools to Organize Distance Learning of Mathematics for Primary School Students Due a Covid-19 Pandemic Conditions
PRESENTER: Nina Rudenko

ABSTRACT. The research substantiates the pedagogical expediency and didactic value of the use of E-resources and modern IR technologies in the organization of distance learning in mathematics in primary school. A survey of primary school teachers and students was conducted in order to study the problem of forming an E-environment in mathematics in primary school. The authors identify the information resources of the e-environment and describe the method of their application in mathematics lessons. The study substantiates that in the organization of distance learning in primary school it is advisable to use gamified children's educational portal Vchy.ua (Вчи.юа), interactive learning platform to create educational material Classtime, designer of interactive worksheets Liveworksheets, create mental maps of mathematics lessons (FreeMind, Bubbl.us, MindMeister), virtual interactive whiteboards for group work with a variety of content with the ability to edit it together (Educreations, Padlet, Popplet, etc.), use a mathematical interactive constructor to illustrate Mathdisk, digital mathematical platform for independent, personalized learning (Matifik), digital textbooks with using interactive 3D-animations, educational videos and tasks (Mozaik education), to test knowledge with the help of test tasks (resource Liveworksheets, Kahoot!), etc.