This article describes the process of developing a career advice 3D adventure game for applicants interested in working in IT departments. The game is based on a 3D representation of the computer science and information technologies department at the Kharkiv Aviation Institute. The quest challenges are designed to measure applicants' and first-year students' digital competency. The theoretical foundation, software tools, development stages, implementation obstacles, and gaming application scenario were all used in the article. The game scenario includes a virtual tour of a 3D university department. In terms of how closely the game resembles real-life stuff, applicants can examine the department's equipment and classrooms. The team used C# and C++, Unity 3D, and Source Engine to create the game application. We used Hammer Editor, Agisoft PhotoScan Pro, and photogrammetry technology to model objects for realistic gaming. Based on the Digital Competence Framework for Citizens (DigComp 2.2), players can assess their digital competences in a variety of ways, including a test activity, a puzzle, assembling a computer, and putting up an IT-specialist firm. The experiment conducted at the online open house day 2020 demonstrated the efficiency of the 3D quest game. A 3D quest was rated as a more modern and appealing kind of involvement by the candidates. According to the 3D quest findings, applicants displayed an average degree of digital competence, with certain specific item challenges graded at 0.5. Several psychometric item parameters were thoroughly examined in order to increase the item's quality.

The purpose of this article is to check and identify management gaps that lead to the formation of digitalization problems in enterprises in the context of Industry 4.0 and to offer a conceptual approach to managing the development of high-tech enterprises in digital transformation. The paper substantiates the concept of digital transformation management in a high-tech enterprise based on interdependent adaptive systems for planning digital transformation processes, monitoring, and change management. The paper considers the idea of the Industry 4.0 concept and presents principal technologies and tools that contribute to the gradual transition to digital transformation. It is determined that digital transformation is a process of transition to digital business, which involves the use of digital technologies to change business processes in the company and provision of new opportunities for additional income and development prospects. A conceptual model of enterprise competitiveness formation in the process of digital transformation has been developed, which includes organizational and economical digital tools for sustainable development of high-tech enterprises and synergies from the organization of new forms of digital interaction. The proposed methodology for managing the development of high-tech enterprises in the context of digital transformation is based on the formation of an ecosystem model of decentralization in a single distributed digital space, based on interconnected adaptive systems of planning, monitoring, and change management, and, on the basis of modeling and forecasting of complex manufacturing and logistics processes of high-tech industries, it allows effective implementation of the innovative order portfolio in the short term and with limited opportunities while coordinating the priorities of the business strategy and strategy of digital transformation of high-tech enterprises.

This paper reveals the process of creating a career guidance 3D quest game for applicants who aim to apply for IT departments. The game bases on 3D model of computer science and information technologies department in the National Aerospace University “Kharkiv Aviation Institute”. The quest challenges aim to assess the digital competency level of the applicants and first- year students. The paper features leveraged software tools, development stages, implementation challenges, and the gaming application scenario. The game scenario provides for a virtual tour around a department of the 3D university. As far as the game replicates the real-life objects, applicants can see the department's equipment and class-rooms. For the gaming application development team utilized С# and C++, Unity 3D, and Source Engine. For object modeling, we leveraged Hammer Editor, Agisoft PhotoScan Pro, and the photogrammetry technology, that allowed for realistic gameplay. Players are offered various formats of assessment of digital competencies: test task, puzzle, assembling a computer and setting up an IT-specialist workplace. The experiment conducted at the open house day proved the 3D quest game efficiency. The results of digital competence evaluation do not depend on the testing format. The applicants mostly preferred to take a 3D quest, as more up-to-date and attractive engagement.

This article analyzes the ways to apply Learning Analytics, Cloud Technologies, and Big Data in the field of education on the international level. This paper provides examples of international analytical researches and cloud technologies used to process the results of those researches. It considers the PISA research methodology and related tools, including the IDB Analyzer application, free R intsvy environment for processing statistical data, and cloud-based web application PISA Data Explorer. The paper justifies the necessity of creating a stand-alone web application that supports Ukrainian localization and provides Ukrainian researchers with rapid access to well-structured PISA data. In particular, such an application should provide for data across the factorial features and indicators applied at the country level and demonstrate the Ukrainian indicators compared to the other countries’ results. This paper includes a description of the application core functionalities, architecture, and technologies used for development. The proposed solution leverages the shiny package available with R environment that allows implementing both the UI and server sides of the application. The technical implementation is a proven solution that allows for simplifying the access to PISA data for Ukrainian researchers and helping them utilize the calculation results on the key features without having to apply tools for processing statistical data.