https://repository.hneu.edu.ua/handle/123456789/24445 2026-06-06T10:20:05Z 2026-06-06T10:20:05Z Aliyev A. Lysenkova T. https://repository.hneu.edu.ua/handle/123456789/40377 2026-06-05T11:18:09Z 2026-01-01T00:00:00Z

Назва: AI as Your Personal Assistant: Learning Languages Smarter, Not Harder Автори: Aliyev A.; Lysenkova T. Короткий огляд (реферат): In recent years, Artificial Intelligence (AI) has emerged as a transformative force in education, fundamentally reshaping how languages are learned and taught. AI-powered language assistants, particularly large language models (LLMs) such as ChatGPT and Claude, offer learners unprecedented access to personalized, on-demand language practice and instruction. These models understand natural language input and generate contextually appropriate responses, enabling dynamic interactions that simulate real-life communication. This paper explores the broad landscape of AI applications in language learning, analyzing their advantages, potential drawbacks, and practical usage. The authors also share personal experiences highlighting how AI tools can complement traditional language learning methods to enhance effectiveness and learner engagement.

2026-01-01T00:00:00Z Yang Man Sladkykh I. A. https://repository.hneu.edu.ua/handle/123456789/40369 2026-06-05T10:42:38Z 2026-01-01T00:00:00Z

Назва: Digital Security in Chinese Universities Автори: Yang Man; Sladkykh I. A. Короткий огляд (реферат): The thesis examines current issues of digital security in Chinese higher education institutions within the context of the rapid digitalization of the educational environment. The study analyzes the main areas of digital technology implementation in Chinese universities, including blended learning, cloud-based research collaboration, student information systems, and online educational platforms. Key digital security threats are identified, such as technical vulnerabilities, human-related risks, cyberattacks, and unauthorized use of personal data. The paper outlines a comprehensive approach to information security that includes technical protection measures, regulatory policies, process control mechanisms, and the development of digital literacy among educational stakeholders. Particular attention is paid to a shared governance model of digital security involving university administration, faculty members, and students. Short-term and long-term measures aimed at creating a secure digital educational environment are proposed. It is concluded that effective digital security is a fundamental prerequisite for ensuring educational quality, protecting information resources, and supporting the sustainable development of modern universities.

2026-01-01T00:00:00Z Lixiao Kang Sladkykh I. A. https://repository.hneu.edu.ua/handle/123456789/40368 2026-06-05T10:37:25Z 2026-01-01T00:00:00Z

Назва: Responsible use of generative AI in scientific research Автори: Lixiao Kang; Sladkykh I. A. Короткий огляд (реферат): The article examines the opportunities, benefits, risks, and ethical aspects of using generative artificial intelligence in scientific research. The practical value of generative AI tools at different stages of research activity is analyzed, including literature search and review, data processing, academic writing, and academic integrity verification. Particular attention is paid to potential risks associated with violations of academic integrity principles, the generation of inaccurate information, superficial analysis, and challenges in academic translation. The study formulates key recommendations for the responsible use of generative AI in research, emphasizing transparency, protection of personal data and intellectual property, compliance with legal regulations, and the preservation of the researcher’s leading role in knowledge creation. Permissible, conditionally permissible, and unacceptable forms of generative AI use in master’s and doctoral research are identified. It is concluded that generative artificial intelligence can serve as an effective support tool for scientific research when applied critically, ethically, and responsibly.

2026-01-01T00:00:00Z Serhiienko B. https://repository.hneu.edu.ua/handle/123456789/40015 2026-05-14T20:30:58Z 2026-01-01T00:00:00Z

Назва: Advancements in Automated Virtual Unwrapping and Ink Detection of Carbonized Herculaneum Scrolls Автори: Serhiienko B. Короткий огляд (реферат): The article concerns the problems to noninvasively read the carbonized Herculaneum scrolls. Recent efforts have transitioned from isolating excerpts to establishing an automated pipeline capable of reading the entire collection. This paper reviews the technical progress made in X-ray tomography, automated segmentation, and machine learning-based ink detection between 2025 and 2026. This process includes adaptation to a new educational environment and integration into the social structure of a new team, which has a significant impact on the emotional and psychological state of an adolescent. Changing schools, even within the same country or community, can be stressful because of the need to adjust to new social rules, communication patterns, and expectations from peers and teachers. This problem becomes especially relevant in the conditions of war, globalization and population mobility, when teenagers are increasingly forced to change schools due to moving to other countries or regions. This exacerbates the cultural, linguistic and social challenges they face. Successful adaptation to a new team largely determines both their academic achievements and emotional comfort. Therefore, the issue of teenagers' adaptation to the new school environment is extremely important for understanding the processes of youth socialization and ensuring conditions for their successful integration into society.

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