Yuliia

@vntu.edu.ua

Department of Foreign Languages , Faculty of Construction , Civil and Environmental Engineering
Vinnytsia National Technical University

Yuliia


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https://researchid.co/yuliiasabadosh

EDUCATION

Graduated from Vinnytsia State Pedagogical University, Faculty of Foreign Languages, in 2009 with a degree in Teaching English and German.
Completed postgraduate studies at Vinnytsia National Technical University (VNTU), where she successfully defended her PhD dissertation in Pedagogical Sciences.

RESEARCH, TEACHING, or OTHER INTERESTS

Language and Linguistics, Artificial Intelligence
8

Scopus Publications

125

Scholar Citations

7

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • Language Dimensions of Digital Communication in the Context of Global Integration
    Lengua Y Habla, 2026
  • Artificial Intelligence as a Support Tool in Teaching Programming to Future Bachelor's Students of Vocational Education
    Bohdan Rozputnia, Liudmyla Shevchenko, Volodymyr Umanets, Serhii Yashchuk, Yuliia Sabadosh
    Environment Technology Resources Proceedings of the 16th International Scientific and Practical Conference, 2025
    The article presents a thorough examination of the potential applications of artificial intelligence (AI) in supporting the instruction of programming to future bachelor's degree students in vocational education. It explores the pivotal domains of AI integration into the educational process, encompassing the utilization of adaptive learning systems, intelligent tutoring systems, automated code evaluation systems, and generative models that enhance both the theoretical and practical training of students. It demonstrates the ways in which AI enhances the personalization of educational content, facilitates rapid feedback loops, and optimizes the verification process of software solutions. It has been determined that the integration of AI facilitates the creation of adaptive learning environments. In such environments, automated algorithms analyze test results, the history of students' interaction with educational materials, and the personal pace of information assimilation. Consequently, this facilitates the development of customized educational pathways that are tailored to the distinct characteristics of each student. The implementation of intelligent tutoring systems, such as ChatGPT, GitHub Copilot, or Google AI Studio based on Gemini, facilitates the elucidation of complex programming concepts, including the principles of recursion, sorting algorithms, and other fundamental principles. This, in turn, contributes to the cultivation of critical thinking and self-study skills. In the article, the authors analyze the challenges associated with the introduction of AI in the educational process. The primary challenges identified pertain to issues of academic integrity, particularly when future bachelors of vocational education employ AI capabilities to automatically generate solutions without a comprehensive grasp of the subject matter. Additionally, the article addresses technical limitations concerning the substantial computing resources required and the integration of contemporary algorithms into existing educational platforms. The article further underscores the necessity for specialized professional development programs to equip educators with the skills to effectively utilize AI in vocational education. Additionally, it emphasizes the establishment of ethical frameworks to guide the implementation of AI technologies in this context, ensuring that the principles of academic integrity are preserved and the integrity of the educational process is maintained. The authors of the article propose a number of recommendations and approaches to optimize the process of AI integration, create integrated learning environments, and improve existing assessment methods with regard to automated code verification. The findings of the study can be utilized to enhance pedagogical approaches in programming, to improve the quality of training in the field of information technology, and to promote the development of competitive graduates.
  • Methodological Approaches to Using Artificial Intelligence to Develop Creative Skills in Future Designers
    Bohdan Rozputnia, Liudmyla Shevchenko, Volodymyr Umanets, Serhii Yashchuk, Yuliia Sabadosh
    Environment Technology Resources Proceedings of the 16th International Scientific and Practical Conference, 2025
    The article analyzes methodological approaches to leveraging artificial intelligence (AI) technologies to foster the creative abilities of future designers. This study is highly relevant in the context of rapid digital transformation and the pervasive integration of innovative digital technologies across all sectors of society. It underscores the urgent need to revise and update pedagogical approaches that nurture creativity—a fundamental competence for modern designers. The purpose of this study is to develop a methodological framework for the effective integration of artificial intelligence tools into the training process of future designers, aimed at enhancing their creative potential, critical thinking, and adaptability in the context of digital transformation. The authors examine the specific potential of using generative AI models, such as Leonardo.AI and Microsoft Copilot (with DALL-E 3 integration), which enable rapid concept generation, as well as language AI models like ChatGPT and Gemini that automate text processing, information retrieval, and idea generation. A comprehensive examination of both theoretical and practical ramifications of integrating these tools into vocational education (specialty A5) is presented. The integration of these AI tools has the potential to optimize the training process, enhance creative imagination, and develop analytical skills and adaptability required by today’s competitive labor market. The research methodology is based on a comprehensive model that integrates elements of competency-based, systemic, and personality-oriented approaches to creativity development. A comparative analysis of traditional teaching methods and innovative AI-based approaches is provided, emphasizing the formation of flexible and non-standard thinking in students. The study’s findings highlight the necessity of continuous monitoring of the impact of AI technologies on the educational process to enable timely adjustments in methodological solutions and to manage risks associated with the automation of creative tasks. Based on an extensive review of the literature and open-source data, the study identifies both the advantages and limitations of using AI in design education. The authors note risks such as overreliance on automated content generation and potential loss of traditional design skills. To address these challenges, the article proposes a series of recommendations for the phased introduction of AI technologies through introductory classes, practical projects, brainstorming sessions, and creative competitions. These measures are designed to support the comprehensive development of students’ creative potential and to maintain a balance between digital automation and hands-on, traditional design skills. In conclusion, the results demonstrate the feasibility and necessity of integrating AI into design education to develop professional, innovative, and transferable skills among future designers, equipping them to effectively compete in the evolving digital economy.
  • Future Trends of AI in Higher Education: Google Workspace and Gemini
    Bohdan Rozputnia, Lyudmila Shevchenko, Volodymyr Umanets, Yuliia Sabadosh, Alina Kushnir, Nataliia Voitsekhivska
    Proceedings International Conference on Advanced Computer Information Technologies Acit, 2025
    This study explores AI's transformative potential in higher education, focusing on Google Workspace for Education and Google's Gemini AI. A mixed-methods approach, including a 2021-2025 literature review, a VSPU case study, and a survey of 50 experts, identifies four AI trends: virtual tutors, automated assessment, content generation, and hybrid learning support. These enhance teaching efficiency, accessibility, and engagement. AI-generated lesson plans reduced faculty preparation time by 15 hours weekly, and transcription features increased non-native speaker participation by 30%. The VSPU case study shows reduced faculty workload and improved inclusivity. Challenges include digital inequality, teacher preparedness, and ethical concerns (data privacy, bias). Recommendations propose ethical AI policies, digital infrastructure investment, and teacher training for inclusive education. The study identifies four pivotal AI trends shaping the future of education: virtual tutors, automated assessment, content generation, and hybrid learning support. Virtual tutors, such as Gemini, deliver personalized learning experiences through adaptive explanations and real-time feedback. Automated assessment streamlines grading, reducing administrative burdens for educators. Content generation enables the creation of tailored educational materials, such as lesson plans and quizzes, enhancing resource accessibility. Hybrid learning support integrates AI into online and offline environments, promoting inclusivity through real-time transcription and translation features. These trends collectively enhance teaching efficiency, educational accessibility, and student engagement. Practical findings from the VSPU case study validate the benefits of AI integration. The study involved 30 pre-service teachers and 5 faculty members utilizing AI-enhanced Google Workspace tools, including Google Classroom, Docs, and Meet. AI-generated lesson plans in Google Slides reduced faculty preparation time by 15 hours per week, allowing greater focus on student interaction. Feedback in Google Docs improved group assignment quality, with 85% of students reporting clearer guidance. Analytics in Google Classroom identified at-risk students, increasing course completion rates by 10%. Transcription and translation in Google Meet boosted participation among non-native speakers by 30%, underscoring AI’s inclusivity. A survey of VSPU experts revealed that 80% consider AI essential for personalized education, yet 60% expressed concerns about ethical issues, including data privacy and algorithmic bias. Challenges encompass digital inequality (45% of educators reported technology access issues), inadequate teacher preparedness, and ethical risks, such as potential bias in assessments. To address these, the study recommends developing ethical AI policies, investing in digital infrastructure, and implementing teacher training programs. The research confirms AI’s transformative role while offering practical recommendations for leveraging Google Workspace and Gemini to foster inclusive and efficient educational ecosystems.
  • Principles of creating and designing video content for asynchronous learning
    Anna Khilya, Halyna Kukharchuk, Yuliia Sabadosh, Alona Korol
    Vide Tehnologija Resursi Environment Technology Resources, 2024
    A key stage of professional training is to prepare them for the use of ICTs and modern innovative solutions that would not only improve the quality of presentation of educational content, but also minimise the time spent on learning new material and repeating material that has already been covered. Therefore, a relevant aspect of preparing teachers and future professionals in general for self-presentation or presentation of their own projects should be preparation for the use of video editors and online platforms to create short videos that both students and teachers can use to save time during teaching or to support projects that are offered to a wide audience. For this reason, in our review, we focus on the theoretical aspects of introducing video content into the educational process; high-quality video editing software that students and teachers can use from any device; analyse the quality of the projects prepared by students; review teaching approaches for asynchronous learning. But, with the main objective of our research being to argue for the principles of creating and designing video content for asynchronous learning. We present not only the above results of our review and practical implementation of the relevant project activities, but also the theoretical aspects of the issue necessary for teachers' understanding and personal improvement. This complex approach allows us to develop the simplest and most flexible algorithm for working with video content, depending on the needs of the teacher, their psychological characteristics and technical skills, as well as the purpose of the subject being taught. After all, for some subjects and the teachers who teach them, the thesis "why should we reinvent the wheel" will be appropriate. While for the other part, this process will always be a personal challenge, an innovation and a requirement of modern education. That is why, in our opinion, the proposed flexible algorithm will be useful for both future teachers and professionals who already have teaching experience.
  • Using ChatGPT for the Development of Critical Thinking in Youth: Example of Inequality Proof
    M. Drushlyak, T. Lukashova, Yuliia Sabadosh, Ivan Melnikov, O. Semenikhina
    2024 47th ICT and Electronics Convention Mipro 2024 Proceedings, 2024
    The article explores the problem of using artificial intelligence in education. Practices of using ChatGPT in professional training are analyzed, highlighting both the positive aspects and risks of AI implementation in the educational process. The possibility of using AI to develop pre-service teachers’ critical thinking is justified. ChatGPT is used as a generator of possible pupils’ responses. The application of artificial intelligence, specifically ChatGPT, in proving inequalities is demonstrated. The generated responses are analyzed. Results of a pedagogical experiment on using ChatGPT for the development of pre-service mathematics teachers’ critical thinking are described. The evaluation criteria for individual tasks are based on key characteristics of critical thinking: 1) the ability to analyze information critically; 2) the ability to identify logical inconsistencies in statements; 3) the ability to eliminate logical inconsistencies; 4) a tendency to seek the most rational solution to a problem. The sign test is employed for statistical analysis of the results. The hypothesis regarding the positive impact of analyzing proofs of inequalities proposed by ChatGPT on the development of students’ critical thinking is confirmed. Problems in using ChatGPT in the Ukrainian language are identified.
  • QR Codes as an Educational Tool for Implementing the BYOD Approach in Physics Lessons
    M. Drushlyak, Yu. Sabadosh, P. Mulesa, E. Diemientiev, A. Yurchenko, O. Semenikhina
    2023 46th ICT and Electronics Convention Mipro 2023 Proceedings, 2023
    The integration of students’ own computer means into the learning process can be solved within the implementation of the BYOD approach (Bring Your Own Device). One of the digital technologies used in education today that works in favor of the BYOD approach are the use of QR codes. The authors analyzed the practices of using the BYOD approach. Examples of the use of QR codes are given: the creation of information leaflets; organization of surveys, tests, web quests, and virtual exhibitions; expanding the content of textbooks; information support of objects of study, visualization and/or research of phenomena and processes. It is shown that the use of QR codes in physics lessons within the framework of the BYOD approach allows not only to solve educational goals but also to increase interest in learning, develop teamwork skills, and expand students’ cultural horizons, that is, develop universal students’ skills. Ukrainian resources for generating QR codes are provided. The results of an expert analysis of ways to use QR codes in teaching physics are presented. It was found that the most effective is the use of QR codes when organizing web quests and for the purpose of informational support of objects of physics study.
  • STATISTICAL METHODS FOR EVALUATING EXPERIMENTAL DATA ON THE USE OF MATHEMATICAL COMPETENCIES IN STUDY FOR A RESILIENT ECONOMY
    Vira Petruk, Olena Prozor, Yuliia Sabadosh, Iryna Baranovska, Maksim Palii, Yevheniia Moroz, Saule Kumargazhanova, Dinara Mussayeva
    Informatyka Automatyka Pomiary W Gospodarce I Ochronie Srodowiska, 2023
    The description of the problems, solved within the statistics evaluation of the results of educational (pedagogical) experiment in resilient economy is given. Comparison of the two average samplings and hypothesis verification relative to dispersions of the two samplings are considered. It is shown the hypothesis that teaching and methodical training system of subjects of higher mathematics in technical universities, suggested on the base of the modern interactive technologies, significantly improves the quality of the base level of professional competence of future engineers. The methods for statistical processing of the obtained results, which very thoroughly research all the indexes which compose the suggested learning and methodical system for teaching higher mathematics in technical universities are used.

RECENT SCHOLAR PUBLICATIONS

  • Dimensiones lingüísticas de la comunicación digital en el contexto de la integración global
    S Lytvynska, Y Sabadosh, O Bahatska, A Kovalenko, T Khomenko
    Lengua y Habla, 20-32 , 2026
    2026
  • Ідеологія та переклад: як змінюється зміст англомовного тексту в залежності від соціокультурного контексту реципієнта
    АП Очковська, ОО Рембач, ЮГ Сабадош
    Актуальні питання гуманітарних наук: міжвузівський збірник наукових праць … , 2025
    2025
  • Мовознавчий потенціал LLM у навчанні іноземних мов: ефективність ChatGPT у педагогічній практиці
    ЮГ Сабадош, ОЮ Бойко, ГС Букатко
    Педагогічна Академія: наукові записки , 2025
    2025
  • Future Trends of AI in Higher Education: Google Workspace and Gemini
    B Rozputnia, L Shevchenko, V Umanets, Y Sabadosh, A Kushnir, ...
    2025 15th International Conference on Advanced Computer Information … , 2025
    2025
    Citations: 4
  • Methodological Approaches to Using Artificial Intelligence to Develop Creative Skills in Future Designers
    B Rozputnia, L Shevchenko, V Umanets, S Yashchuk, Y Sabadosh
    ENVIRONMENT. TECHNOLOGY. RESOURCES. Proceedings of the International … , 2025
    2025
    Citations: 3
  • Artificial intelligence as a support tool in teaching programming to future bachelor's students of vocational education
    B Rozputnia, L Shevchenko, V Umanets, S Yashchuk, Y Sabadosh
    ENVIRONMENT. TECHNOLOGY. RESOURCES. Proceedings of the International … , 2025
    2025
    Citations: 2
  • The Role of Artificial Intelligence in Enhancing Business English Communication Skills
    МС Форкалюк
    //Матеріали LIV Всеукраїнської науково-технічної конференції підрозділів … , 2025
    2025
  • Digital technologies as tools for embedding the sustainable development goals in higher education learning environments in Ukraine
    SS Nykyporets, YH Sabadosh, LV Kulish, NM Hadaichuk, ...
    Суспільство та національні інтереси.№ 12 (20): 55-67. , 2025
    2025
    Citations: 2
  • Leveraging digital technologies for English phraseology research
    SS Nykyporets, SO Kot, JH Sabadosh, VV Chopliak, SY Piddubchak
    Вісник науки та освіти. Вип.№ 10 (40): 83-95. , 2025
    2025
  • The use of artificial intelligence in modern information systems
    OI Liubun
    Матеріали LIV Всеукраїнської науково-технічної конференції підрозділів ВНТУ … , 2025
    2025
  • Adaptive learning platforms in English language teaching: effectiveness and implementation
    SS Nykyporets, YH Sabadosh, NV Herasymenko, ОО Kriutchenko, ...
    Актуальні питання у сучасній науці.№ 10 (40): 924-936. , 2025
    2025
    Citations: 2
  • Using ChatGPT for the development of critical thinking in youth: Example of inequality proof
    M Drushlyak, T Lukashova, Y Sabadosh, I Melnikov, O Semenikhina
    2024 47th MIPRO ICT and Electronics Convention (MIPRO), 334-339 , 2024
    2024
    Citations: 14
  • Розвиток самоосвітньої компетентності вчителів англійської мови у процесі використання інноваційних технологій навчання: навчально-методичний посібник
    ЮГ Сабадош
    Вінниця: 2021.-131 с. , 2024
    2024
    Citations: 1
  • Сучасні освітні технології в цифровій реальності: монографія
    РС Гуревич, МЮ Кадемія, ЛЛ Коношевський, ВМ Кобися, АП Кобися, ...
    Київ: Видавництво «Юрка Любченка» , 2024
    2024
  • Новий вимір вищої педагогічної освіти України: реформи та інновації.
    СЮ Шевченко Л.
    ТОВ: «Юрка Любченка». 2024. С. 257-273 , 2024
    2024
  • Principles of creating and designing video content for asynchronous learning
    A Khilya, H Kukharchuk, Y Sabadosh, A Korol
    Latvia: Rezekne Academy of Technologies , 2024
    2024
    Citations: 2
  • QR Codes as an Educational Tool for Implementing the BYOD Approach in Physics Lessons
    M Drushlyak, Y Sabadosh, P Mulesa, E Diemientiev, A Yurchenko, ...
    2023 46th MIPRO ICT and Electronics Convention (MIPRO), 584-589 , 2023
    2023
    Citations: 9
  • STATYSTYCZNE METODY OCENY DANYCH EKSPERYMENTALNYCH DOTYCZĄCYCH WYKORZYSTANIA KOMPETENCJI MATEMATYCZNYCH W BADANIACH NA RZECZ ODPORNEJ GOSPODARKI
    V Petruk, O Prozor, Y Sabadosh, I Baranovska, M Palii, Y Moroz, ...
    2023
  • Застосування імерсивних технологій в процесі іншомовної підготовки майбутніх ІТ-фахівців
    ЮГ Сабадош
    ІІІ Міжнародна науково-практична конференція «Імерсивні технології в освіті … , 2023
    2023
  • Роль інформаційних технологій в освіті
    Y Tsarova, V Alekseiko, Y Sabadosh, A Kushnir, D Yaroshuk
    Amazonia Investiga 12 (61), 122-130 , 2023
    2023

MOST CITED SCHOLAR PUBLICATIONS

  • Application of information technologies is a necessary condition for qualitative monitoring of higher education and modernization of educational process
    O Oseredchuk, O Drachuk, O Demchenko, N Voitsekhivska, Y Sabadosh, ...
    Int. J. Comp. Sci. Net. Secur 22, 501-510 , 2022
    2022
    Citations: 21
  • Using ChatGPT for the development of critical thinking in youth: Example of inequality proof
    M Drushlyak, T Lukashova, Y Sabadosh, I Melnikov, O Semenikhina
    2024 47th MIPRO ICT and Electronics Convention (MIPRO), 334-339 , 2024
    2024
    Citations: 14
  • Нові підходи до статистичного аналізу результатів педагогічного експерименту
    В Петрук, О Семеніхіна, Ю Сабадош
    Фізико-математична освіта 33 (1), 36-42 , 2022
    2022
    Citations: 12
  • QR Codes as an Educational Tool for Implementing the BYOD Approach in Physics Lessons
    M Drushlyak, Y Sabadosh, P Mulesa, E Diemientiev, A Yurchenko, ...
    2023 46th MIPRO ICT and Electronics Convention (MIPRO), 584-589 , 2023
    2023
    Citations: 9
  • The role of information technologies in education
    Y Tsarova, V Alekseiko, Y Sabadosh, A Kushnir, D Yaroshuk
    Revista Amazonia Investiga 12 (61), 122-130 , 2023
    2023
    Citations: 7
  • Підходи до впровадження інноваційних технологій в освітній процес технічних ЗВО
    ВА Петрук, ОВ Гречановська, ЮГ Сабадош
    International journal of innovative technologies in social science, 3-7 , 2019
    2019
    Citations: 7
  • Розвиток самоосвітньої компетентності студентів технічних ВНЗ під час навчання іноземної мови
    В Петрук, Ю Сабадош
    Modern Information Technologies and Innovation Methodologies of Education in … , 2018
    2018
    Citations: 7
  • Інтерактивні лекції розвитку самоосвітньої компетентності майбутніх фахівців технічних спеціальностей
    ЮГ Сабадош, ЮГ Сабадош
    Фізико-математична освіта: науковий журнал 1 (23), 60-64 , 2020
    2020
    Citations: 6
  • Statistical methods for evaluating experimental data on the use of mathematical competenciesin study for a resilient economy
    V Petruk, O Prozor, Y Sabadosh, I Baranovska, M Palii, Y Moroz, ...
    Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 13 (2 … , 2023
    2023
    Citations: 5
  • Інноваційні технології навчання у процесі розвитку самоосвітньої компетентності студентів технічних ЗВО: електронний навчальнометодичний посібник комбінованого (локального та …
    ВА Петрук, ОВ Гречановська, ЮГ Сабадош
    Вінниця: ВНТУ. Вилучено з https://pdf. lib. vntu. edu. ua/books/2023 … , 2022
    2022
    Citations: 5
  • Future Trends of AI in Higher Education: Google Workspace and Gemini
    B Rozputnia, L Shevchenko, V Umanets, Y Sabadosh, A Kushnir, ...
    2025 15th International Conference on Advanced Computer Information … , 2025
    2025
    Citations: 4
  • Метод проектів у розвитку навичок самоосвіти студентів технічних ЗВО
    В Петрук, О Грачановська, Ю Сабадош
    Науковий вісник Ізмаїльського державного гуманітарного університету, 123-130 , 2019
    2019
    Citations: 4
  • Methodological Approaches to Using Artificial Intelligence to Develop Creative Skills in Future Designers
    B Rozputnia, L Shevchenko, V Umanets, S Yashchuk, Y Sabadosh
    ENVIRONMENT. TECHNOLOGY. RESOURCES. Proceedings of the International … , 2025
    2025
    Citations: 3
  • Розвиток самоосвітньої компетентності майбутніх інженерів комп'ютерних систем і автоматики
    ЮГ Сабадош
    Вінницький національний технічний університет , 2021
    2021
    Citations: 3
  • Artificial intelligence as a support tool in teaching programming to future bachelor's students of vocational education
    B Rozputnia, L Shevchenko, V Umanets, S Yashchuk, Y Sabadosh
    ENVIRONMENT. TECHNOLOGY. RESOURCES. Proceedings of the International … , 2025
    2025
    Citations: 2
  • Digital technologies as tools for embedding the sustainable development goals in higher education learning environments in Ukraine
    SS Nykyporets, YH Sabadosh, LV Kulish, NM Hadaichuk, ...
    Суспільство та національні інтереси.№ 12 (20): 55-67. , 2025
    2025
    Citations: 2
  • Adaptive learning platforms in English language teaching: effectiveness and implementation
    SS Nykyporets, YH Sabadosh, NV Herasymenko, ОО Kriutchenko, ...
    Актуальні питання у сучасній науці.№ 10 (40): 924-936. , 2025
    2025
    Citations: 2
  • Principles of creating and designing video content for asynchronous learning
    A Khilya, H Kukharchuk, Y Sabadosh, A Korol
    Latvia: Rezekne Academy of Technologies , 2024
    2024
    Citations: 2
  • Мотиваційно-ціннісний компонент як один із складових самоосвітньої компетентності студентів технічних ЗВО
    ЮГ Сабадош
    Матеріали XLIX науково-технічної конференції підрозділів ВНТУ, Вінниця, 27 … , 2020
    2020
    Citations: 2
  • Обґрунтування педагогічних умов розвитку самоосвітньої компетентності майбутніх фахівців комп'ютерних систем і автоматики
    ЮГ Сабадош
    Духовність особистості: методологія, теорія і практика. Т. 90,№ 3: 157-172. , 2019
    2019
    Citations: 2