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Документ Відкритий доступ Academic integrity and ethical leadership: shaping the path for future managers(Видавнича група «Наукові перспективи», 2023-06) Kornytska, Yuliia Anatolyivna; Dukhanina, Natalia MarianivnaThe Ukrainian higher education system faces challenges from COVID-19 and war. Online teaching aims to ensure continuity, but academic integrity is crucial. This study explores promoting academic integrity in online instruction. Clear expectations, consequences, and unique assignments foster a culture of trust and responsibility. Integrating these approaches contributes to academic integrity in online learning environments. Future research should focus on enhancing integrity in online language teaching.Документ Відкритий доступ Academic integrity and plagiarism(2024) Левіщенко, Марія СергіївнаДокумент Відкритий доступ Academic integrity in online language teaching: cultivating honesty, integrity, and ethical standards(European Conference, 2023-06) Kornytska, YuliiaДокумент Відкритий доступ Academic integrity: adapting to new chalenges(ПУ «Причорноморський науково-дослідний інститут економіки та інновацій», 2024) Kornytska, Yu. A.; Tuliakova, K. R.Academic integrity is essential in higher education, shaping students’ ethical values and preparing them for professional success. Upholding honesty and integrity fosters a culture of respect, collaboration, and intellectual growth. Research on academic integrity emphasizes the need to address ethical breaches and adapt to technological advancements that pose new challenges. Universities play a key role in promoting academic integrity by providing practical experiences and proactive approaches. Extra-curricular activities, like interdisciplinary conferences, complement formal curricula by enhancing leadership, communication, and critical thinking skills while instilling ethical conduct. Events such as the international student conferences at National Technical University of Ukraine foster academic integrity and language proficiency. Statistical data collected annually by the organizing committee to present it to the educational community and use for developing algorithms on improving the quality of submissions and measures to promote and cultivate the academic integrity. The statistical data from 2018–2022 in the current paper shows a decline in plagiarism submissions, indicating the effectiveness of chosen approaches and implemented measures. However, the statistics from 2023 reveals brand-new challenges like violations related to artificial intelligence highlight the need for ongoing efforts. In addition, a survey for revealing students perceptions towards artificial intelligence is conducted. Student attitudes towards AI suggest a positive disposition, calling for a balanced approach to integrating technology while upholding academic integrity rather than prohibiting its use. It is essential for institutions to navigate the integration of AI ethically, ensuring a harmonious relationship between technological advances and academic standards.Документ Відкритий доступ Accent as a linguistic self-identification factor(КПІ ім. Ігоря Сікорського, 2023) Kolisnyk, MarynaThis paper explores the significance of accents in language and how they aid in recognizing an individual's cultural or regional heritage. Accents provide valuable insights into a person's linguistic self-identity, such as their nationality, ethnicity, and social background. They can influence the effectiveness of communication and serve as a crucial aspect of linguistic self-identification, connecting individuals with their cultural, regional, and social origins.Документ Відкритий доступ Acting out: how role play helps develop language and soft skills(Igor Sikorsky Kyiv Polytechnic Institute, 2023-06-08) Haidenko, Yuliia; Serheieva, OksanaДокумент Відкритий доступ Advantages and disadvantages of distance learning(2020) Omelchenko, I. V.Документ Відкритий доступ Advertising(2025) Zhukevych, IrynaДокумент Відкритий доступ AI in writing instruction: a collaborative approach(Видавнича група «Наукові перспективи», 2025) Kornytska, YuliiaWriting skills are essential for effective communication and for the development of critical thinking, argumentation, and logical expression of ideas across academic, professional, and social domains. However, traditional writing instruction is often fragmented and less effective due to limited classroom time, heavy instructor workload, and, as a result, insufficiently detailed and personalized feedback. In this context, artificial intelligence (AI) tools, particularly ChatGPT, open up new opportunities for improving writing skills. They provide automated feedback, error correction, and foster students’ autonomy. At the same time, the effective integration of AI into the educational process requires the development of a strategy that takes into account technological, ethical, and academic considerations. Research objective. To present a strategy for integrating AI into foreign language writing instruction, aimed at overcoming the fragmentation of traditional approaches and ensuring personalized feedback. Methodology. A comprehensive analysis of scientific publications and practical examples of AI use in writing instruction, particularly tools such as ChatGPT, as well as the needs of instructors and students. Results. The proposed strategy involves a phased integration of AI: from analysing AI-generated texts to editing students’ own work. This approach contributes to the improvement of writing skills, the development of learner responsibility, and adherence to ethical standards. The collaborative model (student–instructor–AI) ensures deep reflection, personalized support, and guidance in matters of ethics and cognitive development. The proposed strategy is a potentially effective complement to traditional instruction, maintaining the central role of the instructor in shaping writing practices and providing individualized support. Conclusions. The integration of AI into writing instruction is recognised as a promising direction, but it requires further research regarding long-term effectiveness, adaptation to various proficiency levels, accessibility of technologies, and ethical challenges. Priorities include upholding academic integrity and fostering a responsible attitude toward authorship and the educational process as a whole.Документ Відкритий доступ AI Language Learning Apps(Igor Sikorsky Kyiv Polytechnic Institute, 2024-05-15) Shevchenko, Olga; Ogurtsova, Olga; Uzhakov, NikitaAI-powered language learning apps have revolutionized the way people acquire new languages. By using artificial intelligence, these apps offer personalized and interactive learning experiences taking into account individual proficiency levels and learning styles. They provide immediate feedback, adaptive exercises, and innovative methods in language learning.. With the continuous development of AI technologies, these apps are becoming increasingly effective tools for language learners. AI language learning apps will continue to reshape language education, making it more accessible, engaging, and efficient.Документ Відкритий доступ Alliances(2024) Zhukevych, IrynaДокумент Відкритий доступ Antennas(2024) Левіщенко, Марія СергіївнаДокумент Відкритий доступ Application of Sociology and Psychology in Society(2024) Zhukevych, IrynaДокумент Відкритий доступ Application programs(2025) Левіщенко, Марія СергіївнаДокумент Відкритий доступ Artificial Intelligence for Language Teaching and Learning(2023) Shevchenko, О. М.; Оgurtsova, O. L.Дана стаття містить огляд деяких інноваційних методів вивчення іноземної мови з використанням сучасних технологій на основі штучного інтелекту, таких як система Google Translate і ChatGPT. Використання Google Translate і ChatGPT трансформувало метод викладання і вивчення іноземних мов. Система Google Translate – це безкоштовний онлайн-інструмент перекладу, який використовує штучний інтелект для перекладу тексту з однієї мови на іншу. Завдяки машинному навчанню ця система стала більш ефективною та універсальною. Використання системи Google Translate набуло популярності серед студентів ESL (англійська як друга мова), які часто перекладають великі обсяги фахових текстів. Крім цього, Google Translate може також виконувати роль помічника в процесі навчання мови, пропонуючи викладачу нові інструменти та можливості. Розширені функції Google Translate можуть допомогти тим, хто вивчає мову, осягнути свої реальні та потенційні помилки, покращити знання мови, яка вивчається, а також покращити свої аналітичні навички. Ще одна інноваційна технологія, зазначена в цій роботі, це Chat GPT. Це чат-бот зі штучним інтелектом, який використовується для взаємодії з користувачем у реальному часі. ChatGPT може забезпечити індивідуальне вивчення мови відповідно до мети та рівня студента. Спілкуючись зі штучним інтелектом, студенти можуть практикувати й покращувати свій рівень граматики, словниковий запас і фонетичні навички. ChatGPT може надати миттєвий зворотний зв’язок, дозволяючи студентам виправляти помилки в реальному часі. ChatGPT може моделювати реальні ситуації, дозволяючи студентам практикувати свої мовні навички на практиці. Як мовна модель штучного інтелекту, ChatGPT має потенціал для подальшого розвитку для використання у сфері викладання та вивчення мов. У майбутньому ChatGPT може стати ефективним інструментом у практиці викладання і вивчення іноземних мов, покращуючи навички мовлення, читання та письма студентів і надаючи їм можливість миттєвого зворотнього зв’язку мовою, яку вони вивчають.Документ Відкритий доступ Asynchronous mode: organizational aspects to succeed(Igor Sikorsky Kyiv Polytechnic Institute, 2023) Kornytska, Yuliia; Kolisnyk, MarynaДокумент Відкритий доступ Balancing participation in foreign language classes with the communicative approach: addressing dominance and passivity(Видавнича група «Наукові перспективи», 2024) Kornytska, Yuliia Anatolyivna; Haidenko, Yuliia OleksiivnaThe communicative approach is widely recognized as one of the most effective methods for ESL training, enhancing both individual learner autonomy and group interaction skills through discussions, role-playing, and collaborative projects. This method encourages learners to set personal goals, make decisions, and self-regulate, promoting independent and critical thinking, thus supporting both language acquisition and personal development. Despite its advantages, the communicative approach poses challenges, particularly in managing uneven participation where dominant students overshadow their introverted peers, affecting class atmosphere and communicative competence. This study aims to investigate and address these challenges by identifying effective strategies to balance participation, creating a more inclusive and supportive learning environment. A comprehensive literature analysis was conducted to understand the reasons behind dominant and passive behaviours, their impact on class dynamics, and strategies to address them. Key findings suggest that confidence levels, prior educational experiences, and personality traits significantly influence student behaviour. Effective strategies identified include structured group activities with role assignments, mutual support agreements, regularly changing group compositions, and clear criteria for oral comments. These strategies aim to mitigate the dominance of active students while encouraging contributions from quieter members, fostering a collaborative learning environment. Data were collected through systematic observations and surveys in ESP classes at the National Technical University of Ukraine. Statistical analyses assessed changes in student engagement, revealing a more balanced participation rate by the end of the study. The results demonstrate the effectiveness of the implemented strategies in enhancing educational outcomes and improving class dynamics. Despite research limitations, this study contributes to the ongoing discourse on effective ESL training practices, offering practical solutions for educators to manage diverse classroom dynamics.Документ Відкритий доступ Basic Concepts in Psychology(2024) Zhukevych, IrynaДокумент Відкритий доступ Basic Concepts in Sociology(2024) Zhukevych, IrynaДокумент Відкритий доступ Basic Principles and Limitations of Neural Machine Translation(Східноєвропейський національний університет ім. Лесі Українки, 2022) Shevchenko, Olga; Ogurtsova, OlgaThe article describes some problems of Neural Machine Translation (NMT) and the role of neural networks in the translation process. The mechanism of neural machine translation, its specific features, its differences from other machine translation systems and the system limitations are also analyzed. NMT systems use artificial neural networks that are trained on a large number of pairs of parallel sentences (‘parallel corpora’). These networks can read a word or a sentence in the source language and translate them into a target language. However, word matching and breakdown into phrases is no longer needed . This seems to be the main difference between the NMT system and other machine translation systems, such as Rule-based or Statistical MT. In order to create a NMT system one must provide the availability of several million pairs of sentences translated by human translators All modern NMTsystems are equipped with encoder-decoder and ‘attention’ mechanisms. The unique role of the ‘attention’ mechanism is to predict subsequent words during the translation process. While focusing on one or more words of the original sentence, it adds this information to the encoded full text. This process is similar to the behavior of a human translator who first reads the entire sentence and then looks at individual source words and phrases already translated or yet to be translated. In spite of its advantages, like fluency, NMT systems have a number of drawbacks. The most frequent are adequacy errors, as well as omissions and additions of content. Transfer of semantic content from the source to the target language often produces mistranslations. The source phrases need to be very clear, coherent and void of ambiguity to prevent low quality output.