монографії, книги та ін. https://ir.lib.vntu.edu.ua//handle/123456789/2647 2026-07-16T10:24:07Z 2026-07-16T10:24:07Z Nykyporets, S. S. Boiko, Y. V. Никипорець, С. С. Бойко, Ю. В. https://ir.lib.vntu.edu.ua//handle/123456789/52161 2026-07-01T11:36:19Z 2026-01-01T00:00:00Z

Anthropomorphic metaphors in contemporary technical discourse: a cognitive-linguistic analysis of the IT terminological system Nykyporets, S. S.; Boiko, Y. V.; Никипорець, С. С.; Бойко, Ю. В. This work examines anthropomorphic metaphors as a structured cognitive mechanism in contemporary IT discourse rather than as a purely stylistic feature. The study addresses the problem of how abstract computational phenomena are conceptualised through human-centred models of body, behaviour, cognition, social hierarchy, health and agency. Drawing on cognitive metaphor theory and conceptual integration theory, the chapter analyses IT terms such as computer virus, zombie process, parent/child component, smart agent, memory leak, daemon and client-server architecture. The findings show that anthropomorphic metaphorisation is organised around three dominant microsystems: biological-physiological, psychological-intellectual and social-hierarchical. These metaphorical models reduce abstraction, support professional communication and facilitate the onboarding of new developers through familiar cognitive frames. The chapter also demonstrates that anthropomorphic terminology has significant pragmatic value in user-oriented communication, technical documentation, debugging discourse and interface design. At the same time, the study identifies potential risks of over-anthropomorphising artificial intelligence systems, especially when terms such as learning, reasoning or hallucination are interpreted too literally. The results are relevant for technical writers, translators and localisation specialists, as they show the need to preserve both conceptual accuracy and communicative accessibility in IT terminology.

2026-01-01T00:00:00Z Nykyporets, S. S. Hadaichuk , N. M. Никипорець, С. С. https://ir.lib.vntu.edu.ua//handle/123456789/50913 2026-03-20T12:52:51Z 2025-01-01T00:00:00Z

Foreign language media literacy as a protective factor against AI-generated disinformation and psychological stress in technical higher education in Ukraine Nykyporets, S. S.; Hadaichuk , N. M.; Никипорець, С. С. The study addresses the twin problem of AI-generated disinformation in English-language technical sources and the psychological strain this creates for Ukrainian students studying under conditions of war. We model foreign language media literacy – FLML – as a protective factor that reduces epistemic error while moderating stress during time-bounded tasks. Drawing on inoculation theory, cognitive load theory, dual-process accounts, and appraisal-coping perspectives, we derive a mechanism that links compact verification micro-skills to improved judgement and calmer task appraisals. We designed a field-ready curriculum with three modules – detection, verification, and appraisal-coping – an embedded it across laboratory and project work in power engineering, electronics, and information systems. Implementation acknowledged wartime realities through a layered defence approach that included offline materials, a pause-and-resume protocol for air-raid alerts, and paper-digital verification logs to ensure continuity. Evaluation combined pretest-posttest-retention measures of verification accuracy, time-to-verification, and justification quality with brief ratings of cognitive load and perceived stress, and with process traces that recorded steps actually taken. Results show clear gains in verification accuracy and justification quality, increased use of lateral reading and source triangulation, and stable or slightly reduced time-to-verification under realistic constraints. Students reported a reliable shift threat to challenge appraisal, with lower perceived stress during timed verification, and the schema supported fast recovery after interruptions without loss of rigour. Effects were stronger for higher L2 proficiency and greater domain knowledge, highlighting the value of explicit scaffolds, bilingual glossaries for modality and evidence, and routine AI-use disclosure coupled with verification rather than prohibition. We conclude that FLML constitutes a practical, scalable shield for technical higher education in Ukraine – hardening epistemic defences while sustaining mental health – and we provide an implementation blueprint that invites replication and longitudinal tracking across programmes.

2025-01-01T00:00:00Z Столяренко, О. В. Столяренко, Ол. В. Магас, Л. М. Stoliarenko, Ok. V. Stoliarenko, Ol. Magas, L. https://ir.lib.vntu.edu.ua//handle/123456789/50890 2026-03-19T13:10:05Z 2026-01-01T00:00:00Z

Досвід впровадження цифрових технологій у контексті інноваційних дидактичних практик вищої школи Столяренко, О. В.; Столяренко, Ол. В.; Магас, Л. М.; Stoliarenko, Ok. V.; Stoliarenko, Ol.; Magas, L.

2026-01-01T00:00:00Z Nykyporets, S. S. Никипорець, С. С. https://ir.lib.vntu.edu.ua//handle/123456789/50541 2026-01-26T09:54:32Z 2025-01-01T00:00:00Z

Effects of English-mediated project work on soft-skills development and quality-of-life outcomes in early-career engineers: a mixed-methods evaluation Nykyporets, S. S.; Никипорець, С. С. Amid air-raid alerts and power cuts, early-career engineers in Ukraine must coordinate work in English while protecting well-being. This study tested an English-mediated project model using concise artefacts – role charters, risk registers, handover notes – plus pause-resume protocols across 54 triads. Compared with matched Ukrainian-language teams, soft-skill performance improved on a composite, with stronger gains in communication clarity and coordination, and a smaller but reliable effect in conflict resolution. Technical accuracy did not decline. Quality-of-life improved: career self-efficacy increased, perceived stress decreased, and WHO-5 rose. Cognitive load showed a small intrinsic increase but a larger extraneous decrease. Effects were assisted by documentation quality and strongest at B1-B2.

2025-01-01T00:00:00Z