Integration Of New Technologies Research Articles

The Impact of Artificial Intelligence on Workers’ Skills: Upskilling and Reskilling in Organisations

Aim/Purpose: This paper examines the transformative impact of Artificial Intelligence (AI) on professional skills in organizations and explores strategies to address the resulting challenges. Background: The rapid integration of AI across various sectors is automating tasks and reducing cognitive workload, leading to increased productivity but also raising concerns about job displacement. Successfully adapting to this transformation requires organizations to implement new working models and develop strategies for upskilling and reskilling their workforce. Methodology: This review analyzes recent research and practice on AI's impact on human skills in organizations. We identify key trends in how AI is reshaping professional competencies and highlight the crucial role of transversal skills in this evolving landscape. The paper also discusses effective strategies to support organizations and guide workers through upskilling and reskilling processes. Contribution: The paper contributes to the existing body of knowledge by examining recent trends in AI's impact on professional skills and workplaces. It emphasizes the importance of transversal skills and identifies strategies to support organizations and workers in meeting upskilling and reskilling challenges. Our findings suggest that investing in workforce development is crucial for ensuring that the benefits of AI are equitably distributed among all stakeholders. Findings: Our findings indicate that organizations must employ a proactive approach to navigate the AI-driven transformation of the workplace. This approach involves mapping the transversal skills needed to address current skill gaps, helping workers identify and develop skills required for effective AI adoption, and implementing processes to support workers through targeted training and development opportunities. These strategies are essential for ensuring that workers' attitudes and mental models towards AI are adaptable and prepared for the changing labor market. Recommendation for Researchers: We emphasize the need for researchers to adopt a transdisciplinary approach when studying AI's impact on the workplace. Given AI's complexity and its far-reaching implications across various fields including computer science, mathematics, engineering, and behavioral and social sciences, integrating diverse perspectives is crucial for a holistic understanding of AI's applications and consequences. Future Research: Looking ahead, further research is needed to deepen our understanding of AI's impact on human skills, particularly the role of soft skills in AI adoption within organizations. Future studies should also address the challenges posed by Industry 5.0, which is expected to bring about even more extensive integration of new technologies and automation.

Current Tendencies of Informational and Analytical Software Development in the Context of Effective Management Decision-Making

The aim of the article is to highlight peculiarities and tendencies of informational and analytical systems development that contribute to effective management activity of Ukrainian authorities. The research methodology founds on the application of the systemic method, as well as methods of analysis and synthesis, also logical, systemic-structural, comparative and cognitive analysis, which made it possible to define basic essential characteristics of management activity and determine the directions, principles, forms and methods of improving the effectiveness of management activity thanks to the usage of modern informational and analytical systems. The scientific novelty. Peculiarities of informational and analytical software for Ukrainian state authorities activity at the beginning of the third decade of the 21st cent. have been studied; the main problems have been considered, and the prospects for informational and analytical activity development at the current stage have been determined; the specifics of modern processes of management informatisation with the help of innovative informational and analytical technologies of decision-making software has been analysed. Conclusions. Any management activity is a process of processing information causing the state of the management object, and making decisions causing its preservation and progressive development in time and space under conditions of various restrictions and restraining factors. Only systematised, complex information, just the information that combines various types and data, which are historically and logically related, and which are in a clearly defined order and sequence, can contribute to the improvement of management decisions effectiveness. The compliance with this requirement allows the management subject to constantly review the social object in all its complexity and diversity, as well as adjust its functioning and development in accordance with each specific situation. Informational and analytical systems make a significant contribution to the process of management decision-making. Their implementation has made a positive effect on the methods of decision-making at various levels of state administration, changing the way and speed of providing information to decision-making individuals, providing relevant, timely and accurate information. At the current stage, a number of objective and subjective factors necessitate the following: the development of various strategies of informational and analytical systems in order to meet the organisational needs of state administration structures; the elaboration of strategies for successful integration of new technologies into a certain activity, including appropriate funding and adequate technical support to ensure the necessary flow of information for short-term and long-term planning decisions making; the employees providing with adequate training to ensure effective usage of informational and analytical systems.

Bătălia Kievului ‒ considerații privind desfășurarea operațiilior militare la nivel tactic ‒

"The military operations conducted on the territory of Ukraine during the conflict started by the Russian Federation on 24 February 2022 show that the chances for large-scale combat operations in Europe have significantly increased. Consequently, the way those operations are carried out must be carefully reconsidered. Adapting to the requirements of the modern battlefield requires a rapid multi-domain integration of new technologies and modern weapon systems. Therefore, doctrinal changes are required. There is no doubt that the Battle of Kiev is a valuable source of information for military leaders, regarding the conduct of military operations at each level. Therefore, a pertinent analysis in relation to the factors that have contributed to the battle’s outcome could be very helpful. The main objective of the analysis is to highlight lessons on the topic of planning and carrying out military operations at tactical level. It emphasises both the determining factors for the failure of the Russian offensive and the features that gave the Ukrainian forces the upper hand, ensuring the successful defence operation. The research methodology is based on the qualitative evaluation of the available information, to enable an assessment of the battle from the combat functions perspective with the aim to identify possible gaps in Western armies’ way to carry out combat operations."

Bătălia Kievului ‒ considerații privind desfășurarea operațiilior militare la nivel tactic ‒

"The military operations conducted on the territory of Ukraine during the conflict started by the Russian Federation on 24 February 2022 show that the chances for large-scale combat operations in Europe have significantly increased. Consequently, the way those operations are carried out must be carefully reconsidered. Adapting to the requirements of the modern battlefield requires a rapid multi-domain integration of new technologies and modern weapon systems. Therefore, doctrinal changes are required. There is no doubt that the Battle of Kiev is a valuable source of information for military leaders, regarding the conduct of military operations at each level. Therefore, a pertinent analysis in relation to the factors that have contributed to the battle’s outcome could be very helpful. The main objective of the analysis is to highlight lessons on the topic of planning and carrying out military operations at tactical level. It emphasises both the determining factors for the failure of the Russian offensive and the features that gave the Ukrainian forces the upper hand, ensuring the successful defence operation. The research methodology is based on the qualitative evaluation of the available information, to enable an assessment of the battle from the combat functions perspective with the aim to identify possible gaps in Western armies’ way to carry out combat operations."

"The Battle of Kyiv – Aspects Regarding the Conduct of Military Operations at Tactical Level –"

"The military operations conducted on the territory of Ukraine during the conflict started by the Russian Federation on 24 February 2022 show that the chances for large-scale combat operations in Europe have significantly increased. Consequently, the way those operations are carried out must be carefully reconsidered. Adapting to the requirements of the modern battlefield requires a rapid multi-domain integration of new technologies and modern weapon systems. Therefore, doctrinal changes are required. There is no doubt that the Battle of Kiev is a valuable source of information for military leaders, regarding the conduct of military operations at each level. Therefore, a pertinent analysis in relation to the factors that have contributed to the battle’s outcome could be very helpful. The main objective of the analysis is to highlight lessons on the topic of planning and carrying out military operations at tactical level. It emphasises both the determining factors for the failure of the Russian offensive and the features that gave the Ukrainian forces the upper hand, ensuring the successful defence operation. The research methodology is based on the qualitative evaluation of the available information, to enable an assessment of the battle from the combat functions perspective with the aim to identify possible gaps in Western armies’ way to carry out combat operations."

What place for intelligent automation and artificial intelligence to preserve and strengthen vigilance expertise in the face of increasing declarations?

In 2018, the "Ateliers de Giens" (Giens Workshops) devoted a workshop to artificial intelligence (AI) and led its experts to confirm the potential contribution and theoretical benefit of AI in clinical research, pharmacovigilance, and in improving the efficiency of care. The 2022 workshop is a continuation of this reflection on AI and intelligent automation (IA) by focusing on its contribution to pharmacovigilance and the applications and tasks could be optimized to preserve and strengthen medical and pharmacological expertise in pharmacovigilance. The evolution of pharmacovigilance work is characterized by many tasks with low added value, a growing volume of pharmacovigilance reporting of suspected side effects, and a scarcity of medical staff with expertise in clinical pharmacology and pharmacovigilance and human resources to support this growing need. Together, these parameters contribute to an embolization of the pharmacovigilance system at risk of missing its primary mission: to identify and characterize a risk or even a health alert on a drug. The participants of the workshop (representatives of the Regional Pharmacovigilance Centres (CRPV), the French National Agency for Safety of Medicinal Products (ANSM), patients, the pharmaceutical industry, or start-ups working in the development of AI in the field of medicine) shared their experiences, their pilot projects and their expectations on the expected potential, theoretical or proven, AI and IA. This work has made it possible to identify the needs and challenges that AI or IA represent, in the current or future modes of organization of pharmacovigilance activities. This approach led to the development of a SWOT matrix (strengths, weaknesses, opportunities, threats), a basis for reflection to identify critical points and consider four main recommendations: (1) preserve and develop business expertise in pharmacovigilance (including research and development in methods) with the integration of new technologies; (2) improve the quality of pharmacovigilance reports; (3) adapt technical and regulatory means; (4) implement a development strategy for AI and IA tools at the service of expertise.

Kinematics of Mechanical Systems by Dynamic Geometry

The advancement of technology influenced the development of mechanical and mechatronic systems. This article presents the integration of new technologies into traditional mechanics. Specifically, it presents a flexible interactive software for dynamic plane geometry used for designing, simulating and analyzing the mechanical systems. The article presents this interactive software for dynamic geometry as a useful tool for the kinematic analysis of constrained linkages. The simulation and kinematic analysis of some mechanical systems are presented.

Digital Transition Methodology of a Warehouse in the Concept of Sustainable Development with an Industrial Case Study

Logistics is one of the sectors that is evolving in parallel with Industry 4.0, which refers to the integration of new technologies, information, and agents, with the common goal of improving the efficiency and responsiveness of a logistics management system. The warehouse is an essential link in logistics management, a factor of competitiveness, and a link between the partners of the entire logistics chain. It has become essential to manage warehouses effectively and to allocate their resources efficiently. The digitalization of warehouses is currently one of the research topics of Logistics 4.0. This work presents a methodology of the digital transition of warehouse management, which consists of four main steps: the diagnosis of a warehouse to identify the different processes, the degree of involvement of the employees, a calculation of the degree of maturity to identify the new technology and means of data transfer, and the associated software for the collection of information and the methods of data processing. This digital transition methodology was applied to an industrial company. The results obtained allowed for the improvement of all the indicators measuring the performance of the warehouse on economic, social, and environmental levels.

Intelligent Mobile Models and Their Application in the Educational Process

Using ICTs in education allows the effective integration of new technologies into the educational process. Developing information and communication technologies also require timely changes in knowledge evaluation and use. As a result, methods, techniques, and technologies used in learning are being updated. In this study, a method for developing an automated educational and methodical complex based on a semantic network is described. Requirements for such educational and methodological complex have been formulated. Structural and formal models of tools based on a semantic network have been presented. The purpose of developing the model is to make it easier for students to perceive the various educational and methodological complexes through its compilation on the basis of a holistic view of the subject area, as well as to optimize the work of the teacher.

Teacher Candidates' Experiences with the Flipped Classroom Model: A Phenomenological Approach

Today, technology integration has become an important issue in the teaching-learning environment. Developed countries integrate technology into schools from pre-school education to higher education, adopting a student-centred approach in their curriculums. Turkey has embraced a constructivist approach to its curriculum since the academic year 2005, in which studies of the teaching-learning environment ushered in the integration of new technology. Despite this, few studies have been conducted on technology integration in higher education. One approach to this research explores the integration of technology in Turkey into the flipped classroom model by the higher education institution, a subject upon which there has not been a sufficient amount of qualitative research. For this reason, in this study, the opinions of elementary teacher candidates regarding their experiences with the flipped classroom model were examined. The research was designed according to phenomenological research design, one of the foremost qualitative research patterns. The participants of the research are teacher candidates studying at Süleyman Demirel University as classroom teachers. The research sample was determined according to the criterion sampling method. An opinion questionnaire about the flipped classroom was used as a data collection tool in the research. Content analysis, a qualitative analysis method, was used to analyse the data. From the research, it was concluded that teacher candidates have experience with the flipped classroom model, believe this model provides many contributions to them and have encountered various problems with the model, for which they have suggestions on how these can be fixed.

EDUCATION IN UNIVERSITIES - TEACHER TRAINING AS A QUALITY FACTOR

In recent decades, the quality of education has been a matter of priority for educational systems in the European as well as in the wider international environment. It is a common feeling that the vast majority of teachers consider that they were not adequately and properly prepared during their studies in Hellenic Universities to fully perform the work of a teacher. In Hellenic universities, there are no organized training programs at any stage of the teachers' careers, except for the Pedagogical Schools where education is their primary subject. In this work, the identification and investigation of the educational needs of the teachers (scientific and laboratory assistants) of the Department of Mechanical Engineering of Technological Educational Institution of Patras, on a cognitive-academic level, a pedagogical level and a level of use - integration of new technologies in teaching, aiming to provide quality education. Also, the intention and motivations of the teachers of the department for training at all levels with the aim of their professional development are investigated. From the findings of the research, it emerged that there is a high desire for the training of young age mainly teachers with little professional and teaching experience, in a subject mainly cognitive and pedagogical and with training hours up to 50 hours, to acquire new knowledge and skills.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0997/a.php" alt="Hit counter" /></p>

Digital Skills as a Significant Factor of Human Resources Development

Digital technologies play a key role in reviving the world economy. The EU has pledged to combine recovery support with resilient digital transformation. The COVID-19 pandemic highlighted the lack of digitization in Slovakia and the shortcomings of digital skills in citizens and communication with institutions. Digital skills are important and should form part of educational policy. ICT skills can help people succeed in the labour market and improve communication with public administration. Digitization and globalization increase the importance to communicate through the Internet, applications, and other e-based gadgets. Digital skills are one of the essential parts of e-Government, so people can use e-Government services in communication with public administration. The current crisis is affecting citizens’ use of online services. Indices concerning the digital economy are analysed, such as the digital economy and society index DESI and e-Government digital skills (EGDI) from 2018 to 2021 revealed a stagnant state in 2018 and 2019, and in 2020, there was a decrease in basic digital skills. The next index is E-Government Digital Index. It focuses on human capital and digital skills in these indices. The paper analyses and identifies the digital skills of citizens in the context of e-Government development and describes the use of e-Government services by EU citizens with a focus on the Slovak Republic. The data were collected through a questionnaire survey of Slovak Republic citizens’ digital skills according to selected categories, the use of e-Government services as well as awareness of e-Government services. Solutions that improve e-Government in the Slovak Republic are gradually being implemented. Improving digital skills according to the National Coalition for Digital Skills and Professions in the Slovak Republic is one of the priorities of The Ministry of Education, Science, Research and Sport of the Slovak Republic, which has adopted an action plan for 2019–2022 to improve the results in the DESI index by 2025 and focus on the digital skills required by employers. The survey revealed that in Slovakia, the majority of schools offer only weak support for digital education (about the EU-27 average of 68% and 45%, respectively). The research also revealed a decreased level of digital literacy among young people. These competencies are very important to gain a position in the labour market in the digital society. The projects aim to support the development of digital skills of primary and secondary school students, and the integration of new technologies into teaching.

A framework for human-centered production planning and control in smart manufacturing

Smart manufacturing systems have to meet high performance expectations in form of customer individual products, short lead times, high due date reliability and resilience by the integration of new technologies and by intelligent process design. The planning and control of such smart manufacturing systems necessitates several instances of human decision-making. The latest research at the nexus of operations management and psychology reveals that human decision-making in such fast-paced, dynamic and complex environments is often biased, resulting in suboptimal operational performance. Human-centered design of planning and control processes can mitigate biased decisions, thus boosting performance in smart manufacturing systems. Current research is silent about the impact and mitigation of cognitive biases in operations management, though. We intend to close this research gap. We combine systematic reviews of literature on behavioral operations management and cognitive biases in operations management, particularly in production planning and control with an in-depth case study based on 12 expert interviews. We explore two decision-making models and combine them in a PPC framework. We create a framework for human-centered PPC in smart manufacturing systems, which includes the main impact factors, challenges and performance capabilities. Based on a detailed case study of a steel producer, we present a framework of human-centered PPC comprising five hypotheses on the impact of cognitive biases on human decision-making and on manufacturing performance.

METTRE EN ŒUVRE UNE APPROCHE INTERACTIONNELLE SUR LE WEB 2.0

Many specialists in the field of teaching French as a foreign language, including the author of this article, suggest giving priority to a curriculum which is based on the implementation of communication tasks within an action-oriented perspective and joint work and interaction. Concepts such as "joint work methodology", "work-oriented framework" and others such as "social actor", "process" and "product" represent the core of this approach. They are centered around a very simple principle which is allowing language learners to use the language. This language, in which the work-oriented approach is a real tool for communication and joint interaction. Today, there is a need for the integration of new technologies, specifically, everything happening in the field of the Internet and the necessity of using them inside and outside the language classroom. Due to the absence of this vision and its importance in advancing the teaching of foreign languages ​​in our country in general, and the French language in particular, and to benefit from this methodology even in teaching Arabic language, we have considered the translation of this article because of the ideas, propositions, criticisms and analysis it contains which may contribute to creating a modern and mechanized educational environment in the field of education Languages ​​in our country.

Timber Tracking in a Mountain Forest Supply Chain: A Case Study to Analyze Functionality, Bottlenecks, Risks, and Costs

Digital transformation of the timber supply chain is more relevant at present than ever before. Timber tracking is one example of digital transformation, and can be performed in various locations, from the forest to the mill, or even beyond, to the final timber product. The integration of new technologies in the forestry and timber industries should contribute to enhancing supply chain efficiency and safety. For this purpose, a new timber tracking and processing system was tested by integrating RFID (Radio Frequency IDentification) technology with digital survey tools and intelligent machines, into a smart timber supply chain. A case study on this process was carried out in a mountain forest in Austria. The tags were used to link information to single items (trees and logs) and transfer relevant data (species, diameter, length, volume, defects, density, stiffness, branchiness, etc.), throughout the whole supply chain. The performance of the technology was analyzed by means of process flow, bottleneck, and risk analyses. Fourteen spruce trees went through the supply chain process from the forest stand to the log yard, monitored by the new timber tracking and processing system. The results revealed that the new system is useful for transferring information through the timber supply chain, and the system costs remained at a normal market level. The weakest point in the supply chain was the processing of the trees by the intelligent prototype processor. A high error rate and low durability lead to higher idling time and harvesting cost, but the findings of this study can be used to further improve this system. All other processes worked well and were at a marketable level.

Participative human-factor evaluation in the context of digital work (re-)design.

Challenged by digital transformation, organizations increasingly integrate information and communication technologies into work designs. Often focal points of such digital reengineering initiatives are technical and economic aspects. Yet, as integration of new technologies affects how employee work and interact, there is a need to evaluate human-centered criteria (human-factor evaluation), optimally by involving employees as situational experts. The present study develops an integrative and persona-based evaluation approach of human-centered criteria for application in participative digital (re-)design of work to support the joint optimization of the technical and social system. Drawing on methods from usability evaluation, a persona-based approach is developed to facilitate comprehension and application of human-centered evaluation by employees. To that end, human-centered criteria from existing evaluation models are systemized with specific reference to digital transformation of work processes. The developed approach is tested in pilot runs of three German small and medium-sized enterprises (SMEs). The initial overview shows a divergence of specific human-centered criteria at the detailed level. Simultaneously, a high convergence is found for overarching dimensions and categories. The Integrative Socio-Digital Evaluation Model (ISDEM) is developed to balance complexity and abstraction of criteria. The derived persona-based approach (persISDEM) shows a good applicability in the pilot runs. The present study provides an amendment to existing work design approaches with an emphasis on employee participation, enabling organizations to foster employees' comprehension and motivation to engage in evaluations of digital (re-)design of work and to create motivating and healthy jobs for successful digital transformation.

Patient attrition in Molecular Tumour Boards: a systematic review

BackgroundMolecular Tumour Boards (MTBs) were created with the purpose of supporting clinical decision-making within precision medicine. Though in use globally, reporting on these meetings often focuses on the small percentages of patients that receive treatment via this process and are less likely to report on, and assess, patients who do not receive treatment.MethodsA literature review was performed to understand patient attrition within MTBs and barriers to patients receiving treatment. A total of 51 papers were reviewed spanning a 6-year period from 11 different countries.ResultsIn total, 20% of patients received treatment through the MTB process. Of those that did not receive treatment, the main reasons were no mutations identified (27%), no actionable mutations (22%) and clinical deterioration (15%). However, data were often incomplete due to inconsistent reporting of MTBs with only 55% reporting on patients having no mutations, 55% reporting on the presence of actionable mutations with no treatment options and 59% reporting on clinical deterioration.DiscussionAs patient attrition in MTBs is an issue which is very rarely alluded to in reporting, more transparent reporting is needed to understand barriers to treatment and integration of new technologies is required to process increasing omic and treatment data.

Analysis and Practice of Using Modern Information Technology for Classroom Teaching Mode Reform

In the context of continuous technological progress, the application of information technology in the field of education has gradually opened the door to innovation. The integration of information technology and curriculum is the use of information technology to present the curriculum in a new way in the teaching process. Therefore, compared with the traditional teaching mode, the integration of information technology and curriculum is more flexible and can show the boring classroom vividly and graphically in front of students, thus motivating students to learn actively and improving classroom efficiency. In recent years, with the continuous development of computer technology, the rise of information technology such as data analysis and the Internet of Things has caused a wave of “Internet+” education. With the promotion of education informatization, the smart classroom has been developed based on modern education technology. As a result, the classroom teaching mode based on modern information technology has become one of the hot spots for research. As a product of the integration of new technologies and teaching, the smart classroom creates a better learning environment for students with features such as intelligence, diversity, and personalization. At the same time, this teaching model gradually cultivates the information literacy of teachers and students while improving learning effectiveness. Also, with the rapid development of modern information technology, integrated teaching has become a popular and common teaching method. In this context, integrated teaching has a great impact on traditional teaching methods. This requires teachers to make corresponding changes in classroom teaching methods, approaches, and strategies in line with the trend of the times. However, although there are many changes, the corresponding teaching theory has not been updated. While modern information technologies such as artificial intelligence and big data have been widely used to track, collect, and analyze human behavior, it has been difficult for teachers to integrate these technologies into their teaching to help them teach effectively. In recent years, a growing number of experts and scholars have joined the discussion on instructional design that incorporates modern information technologies. There is a need to explore how to teach students in depth through big data and other tools, but there is no complete theoretical chain. Therefore, it is necessary to explore the reform and practice of modern Internet-based classroom teaching models. This study begins with an understanding of the current utilization of smart learning platforms in some schools and the teaching needs of IT subjects. After identifying the value of the IT smart classroom teaching model, the current research status of the smart classroom is outlined, and related concepts and theories are outlined and understood. After that, the characteristics of smart classrooms are summarized, and the traditional classroom, flipped classroom, and smart classroom are compared and analyzed.

How Traditional Financial Institutions have adapted to Artificial Intelligence, Machine Learning and FinTech?

Abstract This article analyzes the implications of the financial sector’s recent adoption of artificial intelligence (AI) and machine learning (ML). It identifies the advantages of these technologies in terms of fraud protection, cost savings, and efficiency, while also highlighting worries about conventional financial institutions’, such as banks, insurance and reinsurance institutions, and inability to compete with Fintech firms. The report contributes to the conversation about the influence of modern technology by distilling and classifying the tools deployed in established conventional institutions that resulted in continual development and simplification of internal procedures as well as client service delivery. Given the increased competition in the financial industry, Fintech businesses are critical for conventional financial institutions to stay afloat in today’s changing world. The study is directed at researchers who are still in the early phases of investigating the artificial intelligence field in the financial sector. The study reviews prior research that documents the changes occurring inside financial institutions from a global perspective as a result of Fintech and the integration of new technologies. The goals of the paper are fulfilled by (1) furthering theoretical studies on the issue, (2) increasing awareness of the financial industry’s developments, and (3) gathering proof of the influence artificial intelligence and machine learning have had so far.

Monitoring the Level of Digital Transformation in Education: Indexes and Technologies

Purpose of the study. Digital transformation is the foundation of global and national economic growth. Currently, a strategic direction has been adopted in the field of digital transformation of education until 2030, which belongs to the field of activity of the Ministry of Education of the Russian Federation. In the process of implementing educational programs, the introduction of digital technologies for learning is of paramount importance, so the problem of assessing the degree of their integration in education is relevant. As part of the study, the existing approaches to monitoring the use of modern technologies in schools, lyceums and gymnasiums were analyzed. The purpose of this work is to develop criteria indexes and groupings of educational organizations for use in the methodology for assessing the level of digital transformation of education, improving the information base and increasing the accuracy of the results of a comparative analysis. To create a model for the process of assessing the level of digital transformation of education, it is necessary to identify the key stages in the monitoring system.Materials and methods. The study of approaches to monitoring digital transformation in the field of education was performed as a result of a review of the methods used to assess the degree of implementation of digital technologies in education. The methods of statistical, systemic and comparative analysis were used in the paper. The basis of the study is indexes of the development of specific technologies defined in regulations, official statistical reporting, and materials of the Unified Interdepartmental Statistical Information System. The methodology for assessing the level of digital transformation of education in the region is applicable in the framework of achieving the indexes of the national project “Education”. Modeling the process of monitoring the state of digitalization of education was performed considering the use of a methodology that includes indexes of the introduction of digital technologies and the grouping of educational institutions.Results.The main issues of monitoring the digital transformation of school education are viewed, considering the assessment of the degree of integration of end-to-end digital technologies. The main results of the study are improving the information base, supplementing the methodology for assessing the digital transformation of school education and building a model for the process of assessing the level of digital transformation of education in the region. Within the framework of the monitoring of the education system, criteria indexes for the introduction of end-to-end digital technologies are proposed. The developed model characterizes the stages of monitoring from data collection to decision-making, and shows the interrelation between the system functions. The modeling was performed to develop a system that determines the level of implementation of digital solutions in the field of education in the regional context.Conclusion.The digitalization of school education involves the integration of new technologies in education, primarily to achieve higher educational results for students. It is important to assess the current state of the digital transformation of educational organizations at different levels in the framework of the application of modern technologies in the educational process. The proposed indexes for the introduction of end-to-end digital technologies and the groupings of educational institutions can be used by data analysts, as well as in research and practical activities of executive authorities when monitoring the education sector.