1. Perceptions of artificial intelligence among nursing students : an exploratory study comparing full-time and part-time studentsDenis Černeka, Boštjan Žvanut, 2026, izvirni znanstveni članek Opis: Aim. The study aimed to explore Slovenian nursing students’ perceptions of Artifi cial Intelligence (AI) and to compare diff erences between full-time and part-time students.Material and methods. A cross-sectional online survey was conducted between 4 October and 12 December 2024 among 95 fi rst-year nursing students at the University of Primorska, Slovenia. Perceptions were measured using a refi ned and validated Slovenian version of the Shinners Artifi cial Intelligence Perception (SHAIP) questionnaire.Results. The overall mean SHAIP score indicated a neutral perception of AI (M = 3.23 out of 5, SD = 0.69). No signifi cant diff erences in the overall mean score were found between full-time and part-time students (p = 0.095), or between genders (p = 0.258). However, full-time students scored signifi cantly higher on the Perception of Professional Impact factor (p = 0.031). Conclusions. Nursing students in Slovenia generally hold a neutral perception of Artifi cial Inteligence. Diff erences between full-time and part-time students suggest that the latter may be less aware of the professional impact of AI, which highlights the need for targeted training. The refi ned Slovenian version of the SHAIP instrument demonstrated adequate validity and reliability.
Ključne besede: education, perception, nursing students, artificial intelligence, SHAIP
Objavljeno v RUP: 12.08.2026; Ogledov: 294; Prenosov: 7
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2. Developing an Al Player for the Azul board game : final project paperAleksandra Zec, 2026, diplomsko delo Ključne besede: Azul, minimax algorithm, alpha-beta pruning, heuristic evaluation function, adversarial search, game playing, artificial intelligence, zero-sum games, final project papers
Objavljeno v RUP: 08.08.2026; Ogledov: 351; Prenosov: 24
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4. Generative artificial intelligence as decision support in creative industries : authorship, interpretation and musical meaningMitja Bervar, Tine Bertoncel, 2026, izvirni znanstveni članek Opis: This article examines use of generative artificial intelligence in creative industries, focusing on music.Artificial intelligence is increasingly used in production and content development; however, its integration raises challenges in the field of musical creation, where meaning and value are closely connected to cultural context, interpretative authority and artistic responsibility.
Ključne besede: creative industries, music, generative artificial intelligence, decision support
Objavljeno v RUP: 04.08.2026; Ogledov: 391; Prenosov: 9
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5. Reconsidering contemporary approaches to teaching art history : from theoretical frameworks to empirical insightsMarjana Dolšina Delač, 2026, samostojni znanstveni sestavek ali poglavje v monografski publikaciji Opis: This chapter explores how contemporary didactic approaches can enhance the teaching and learning of art history through both theoretical reflection and empirical investigation. Building on the evolution of art-historical pedagogy from formalist to contextual paradigms, the study integrates a series of pedagogical experiments conducted within the elective university course titled Contemporary Approaches to Teaching and Learning Art History. The research aims to identify effective strategies for fostering student engagement, critical thinking, and sensory awareness in a digital educational environment. Using a small-scale qualitative methodology based on observation, reflection, and analysis of student-designed lessons, the study highlights the benefits of multisensory learning, formative assessment, flipped classroom models, and authentic learning contexts. Findings suggest that the most effective art history teaching approaches balance technological innovation with embodied, humanistic engagement, reaffirming the relevance of art history as a reflective and interdisciplinary discipline.
Ključne besede: art history didactics, contemporary teaching approaches, active student engagement, digital tools, artificial intelligence
Objavljeno v RUP: 29.07.2026; Ogledov: 276; Prenosov: 9
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7. Application of artificial intelligence in e-commerce : master's thesisMarko Pejić, 2025, magistrsko delo Ključne besede: artificial intelligence, E-commerce, customer experience, personalization, operational efficiency, recommender systems, chatbots, AI integration, business challenges
Objavljeno v RUP: 15.04.2026; Ogledov: 614; Prenosov: 65
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8. Digital Transformation Leadership and AI Capabilities as Drivers of Sustainable Competitive Advantage : The Mediating Role of Organizational Agility in Spain’s New S-Curve IndustriesAbdelhak Alioune, 2026, izvirni znanstveni članek Opis: The modern trend among various industrial companies to adopt digital technologies in their operations through digital transformation and reliance on artificial intelligence has become an imperative, especially with the increasing intensity of competition in global markets. To gain a realistic understanding of the role of digital transformation leadership (DTL) and AI capabilities (AIC) in achieving sustainable competitive advantage (SCA) for organizations, this study employs organizational agility (OA) as a mediating variable, based on data collected from 441 employees in Spanish ‘New S-Curve’ industries, which are innovative sectors achieving high growth returns within the framework of the ‘Spain 5.0’ national strategy. The statistical and analytical framework of Structural Equation Modelling (SEM) revealed that DTL has a significant impact on SCA, while the effect of AIC was not significant. Furthermore, OA was found to be an important mediator, reinforcing the indirect effects of both DTL and AIC on achieving SCA for Spanish organizations.
Ključne besede: digital leadership, artificial intelligence capabilities, organizational agility, sustainable competitive advantage, Spain’s S-curve industries
Objavljeno v RUP: 10.04.2026; Ogledov: 684; Prenosov: 12
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9. Corporate social responsibility practices, managerial attitudes toward artificial intelligence, and AI adoption in micro and small restaurant SMEsMarko Kukanja, Tanja Planinc, 2026, izvirni znanstveni članek Opis: In hospitality SMEs, digital transformation is increasingly linked to sustainability goals. However, evidence on how corporate social responsibility (CSR) relates to the adoption of artificial intelligence (AI) in owner-managed firms remains limited. This study ex- amines CSR practices, managerial attitudes toward AI, and AI adoption in micro and small restaurant SMEs in a small European Union (EU) economy. Using survey data from 157 Slovenian restaurant SMEs and structural equation modelling, CSR is conceptualised as an enacted, practice-based orientation. At the same time, managerial attitudes toward AI are modelled as the key mechanism preceding adoption. Results reveal an asymmet- ric relationship between CSR and AI. Employee-related CSR practices, which are mainly institutionalised, do not significantly influence managerial AI attitudes. In contrast, en- vironmental CSR practices are negatively associated with AI attitudes, indicating more cautious evaluations among environmentally responsible managers. Managerial attitudes toward AI are positively and significantly associated with AI adoption, confirming their central role in adoption decisions. Financial performance, measured by objective revenue data, does not emerge as a direct outcome of AI adoption but rather operates as a contex- tual condition shaping how CSR practices relate to managerial attitudes and how those attitudes translate into adoption decisions. Overall, the findings indicate that CSR does not uniformly translate into managerial attitudes toward AI and subsequent AI adoption in restaurant SMEs.
Ključne besede: corporate social responsibility, artificial intelligence adoption, managerial attitudes, restaurant SMEs, sustainability, financial performance
Objavljeno v RUP: 23.03.2026; Ogledov: 878; Prenosov: 42
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10. Social robots disruptive artificial intelligence educational technology : pre-service teachers’ perceptions in China, Russia and SloveniaAndreja Istenič, Liliya Latypova, Violeta Rosanda, Žiga Turk, Roza Alexeyevna Valeeva, Xuesong Zhai, 2026, izvirni znanstveni članek Opis: Artificial intelligence transforms human learning and education. Social robots in the elementary classroom enter the human sphere in the critical period of child’s development. Social robotic educational technology, designed for long-term emotional connections and relationships, raises questions in the pedagogic relations and interaction. Research on teacher perceptions and readiness is deficient. This paper reports analyses of aspects of child-social robot interaction are of concern to pre-service teachers from China, Russia and Slovenia. Findings indicate that at the heart of participating pre-service teachers in China, Russia and Slovania concerns are authenticity and humanness. Our findings show their concerns are mainly rooted in the belief that the robot shouldnot acquire the ability to perform authentic interactions nor should undertake a teaching roles. There is a widespread agreement among participants from three cultural contexts that teachers remain essential in educational contexts. In contrast, concerns related to social Interaction indicate notable group differences. The article highlights the teacher’s responsible planning and use of artificial intelligence educational technology.
Ključne besede: pre-service teachers, artificial intelligence, social robot, humanoid robot, anthropomorphic robot, educational technology, concerns scale, China, Russia, Slovenia
Objavljeno v RUP: 16.03.2026; Ogledov: 805; Prenosov: 7
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