21. AI is here to stay : an empirical study of attitudes among teachers of English and GermanSaša Jazbec, Bernarda Leva, Marta Licardo, 2025, izvirni znanstveni članek Opis: Artificial intelligence (AI) is a disruptor increasingly impacting foreign language learning and teaching. This paper explores the theoretical framework of AI, its application in foreign language teaching, and the question of whether AI is displacing foreign language teachers. The empirical part presents findings from a survey of English and German teachers (n = 112) in Slovenian primary and secondary schools regarding their views on AI in foreign language teaching. Statistical analysis reveals a constructively critical attitude towards AI among teachers, acknowledging its presence in and influence on teaching strategies, methods, and teacher roles but not perceiving it as a fundamental threat. Furthermore, statistical tests and correlations indicate no significant differences in attitude towards AI in the classroom based on whether they are English or German teachers or whether they work in primary or secondary schools.Umetna inteligenca (UI) je kot disrupcija močno posegla tudi v učenje in poučevanje tujega jezika. V prispevku najprej osvetlimo teoretski okvir pojmovanja UI, razpravljamo o UI pri pouku tujega jezika in se posvečamo tudi vprašanju, ali UI izpodrinja učitelje in učiteljice tujega jezika. V empiričnem delu predstavljamo izsledke raziskave, v kateri so svoja stališča o UI pri pouku tujega jezika izrazili učitelji in učiteljice angleščine in nemščine (n = 112) v osnovnih in srednjih šolah v Sloveniji. Statistična analiza podatkov anketiranih je pokazala, da so do UI konstruktivno kritični, da se zavedajo njene prisotnosti in da zelo vpliva na strategije, metode dela pri pouku in delo učiteljev in učiteljic, jih spreminja, a jih ne ogroža. S statističnimi testi in korelacijami pa smo ugotavljali tudi, da ni statistično pomembnih razlik med stališči anketiranih do UI pri pouku glede na to, ali učijo angleščino ali nemščino, niti ne, ali delajo v osnovni ali v srednji šoli.
Ključne besede: artificial inteligence, teaching a foreign language, English as a foreign language, German as a foreign language
Objavljeno v DKUM: 22.07.2025; Ogledov: 0; Prenosov: 5
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22. Artificial intelligence in resuscitation: a scoping reviewDrieda Zace, Federico Semeraro, Sebastian Schnaubelt, Jonathan Montomoli, Giuseppe Ristagno, Nino Fijačko, Lorenzo Gamberini, Elena G. Bignami, Robert Greif, Koenraad G. Monsieurs, Andrea Scapigliati, 2025, pregledni znanstveni članek Opis: Background
Artificial intelligence (AI) is increasingly applied in medicine, with growing interest in its potential to improve outcomes in cardiac arrest (CA). However, the scope and characteristics of current AI applications in resuscitation remain unclear.
Methods
This scoping review aims to map the existing literature on AI applications in CA and resuscitation and identify research gaps for further investigation. PRISMA-ScR framework and ILCOR guidelines were followed. A systematic literature search across PubMed, EMBASE, and Cochrane identified AI applications in resuscitation. Articles were screened and classified by AI methodology, study design, outcomes, and implementation settings. AI-assisted data extraction was manually validated for accuracy.
Results
Out of 4046 records, 197 studies met inclusion criteria. Most were retrospective (90%), with only 16 prospective studies and 2 randomised controlled trials. AI was predominantly applied in prediction of CA, rhythm classification, and post-resuscitation outcome prognostication. Machine learning was the most commonly used method (50% of studies), followed by deep learning and, less frequently, natural language processing. Reported performance was generally high, with AUROC values often exceeding 0.85; however, external validation was rare and real-world implementation limited.
Conclusions
While AI applications in resuscitation demonstrate encouraging performance in prediction and decision support tasks, clear evidence of improved patient outcomes or routine clinical use remains limited. Future research should focus on prospective validation, equity in data sources, explainability, and seamless integration of AI tools into clinical workflows.
Ključne besede: Cardiac arrest, Resuscitation, Artificial intelligence, Machine learning, Deep learning, Large language model, Scoping review
Objavljeno v DKUM: 22.07.2025; Ogledov: 0; Prenosov: 3
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23. Evaluating Proprietary and Open-Weight Large Language Models as Universal Decimal Classification Recommender SystemsMladen Borovič, Eftimije Tomovski, Tom Li Dobnik, Sandi Majninger, 2025, izvirni znanstveni članek Opis: Manual assignment of Universal Decimal Classification (UDC) codes is time-consuming and inconsistent as digital library collections expand. This study evaluates 17 large language models (LLMs) as UDC classification recommender systems, including ChatGPT variants (GPT-3.5, GPT-4o, and o1-mini), Claude models (3-Haiku and 3.5-Haiku), Gemini series (1.0-Pro, 1.5-Flash, and 2.0-Flash), and Llama, Gemma, Mixtral, and DeepSeek architectures. Models were evaluated zero-shot on 900 English and Slovenian academic theses manually classified by professional librarians. Classification prompts utilized the RISEN framework, with evaluation using Levenshtein and Jaro–Winkler similarity, and a novel adjusted hierarchical similarity metric capturing UDC’s faceted structure. Proprietary systems consistently outperformed open-weight alternatives by 5–10% across metrics. GPT-4o achieved the highest hierarchical alignment, while open-weight models showed progressive improvements but remained behind commercial systems. Performance was comparable between languages, demonstrating robust multilingual capabilities. The results indicate that LLM-powered recommender systems can enhance library classification workflows. Future research incorporating fine-tuning and retrieval-augmented approaches may enable fully automated, high-precision UDC assignment systems.
Ključne besede: universal decimal classification, large language models, conversational systems, recommender systems, prompt engineering, zero-shot classification, hierarchical similarity
Objavljeno v DKUM: 21.07.2025; Ogledov: 0; Prenosov: 11
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24. Evaluating chatbot assistance in historical document analysisDavid Hazemali, Janez Osojnik, Tomaž Onič, Tadej Todorović, Mladen Borovič, 2024, izvirni znanstveni članek Opis: The article explores the potential of PDFGear Copilot, a chatbot-based PDF editing tool, in assisting with the analysis of historical documents. We evaluated the chatbot's performance on a document relating to the Slovenian War of Independence. We included 25 factual and 5 interpretative questions to address its formal characteristics and content details, assess its capacity for in-depth interpretation and contextualized critical analysis, and evaluate the chatbot’s language use and robustness. The chatbot exhibited some ability to answer factual questions, even though its performance varied. It demonstrated proficiency in navigating document structure, named entity recognition, and extracting basic document information. However, performance declined significantly in tasks such as document type identification, content details, and tasks requiring deeper text analysis. For interpretative questions, the chatbot's performance was notably inadequate, failing to link cause-and-effect relationships and provide the depth and nuance required for historical inquiries.
Ključne besede: chatbots, historical document analyses, Yugoslavia, wars, generative, artificial intelligence, large language models
Objavljeno v DKUM: 18.07.2025; Ogledov: 0; Prenosov: 10
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25. Games and songs in early English and German language learning in kindergarten : a comparison of practitioners' perspectivesJulija Tertinek, 2025, magistrsko delo Opis: This master’s thesis analyses early foreign language learning, specifically the learning of English and German, in Slovenian kindergartens, with a particular emphasis on the implementation of games and songs in language instruction. The primary aim of this thesis is to investigate teachers’ attitudes and experiences regarding early foreign language teaching in practice. As such, the research focuses on several key areas: teaching methods, the availability and use of teaching materials and the prevalence of songs and games during lessons.
The theoretical part provides an overview of early foreign language learning, including the benefits of early exposure, the influence of age, teaching approaches and strategies, teacher competences and the role of materials, games and songs in early foreign language acquisition. It also examines the Slovenian context, addressing how early language learning is regulated and supported by the National Preschool Curriculum and the availability of formal training for teachers.
The empirical part combines qualitative and quantitative research methods. The qualitative method includes six semi-structured interviews with teachers/preschool teachers of English and German from Maribor and the surrounding area. The quantitative method includes a questionnaire, distributed to kindergartens across various regions of Slovenia and completed by 64 respondents. Together, these approaches complement the theoretical framework and provide valuable insight from practitioners into how foreign languages are taught in practice and aid in identifying areas where improvements could be made.
Ključne besede: Early foreign language learning, English, German, kindergarten, songs, games
Objavljeno v DKUM: 15.07.2025; Ogledov: 0; Prenosov: 20
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26. Collected Papers of Thomas A. HellerThomas Allan Heller, 2025 Opis: The monograph »Collected Papers of Thomas A. Heller« brings together the significant scholarly contributions of Thomas Heller, an esteemed American legal expert whose academic influence has resonated well beyond the borders of his home country. In his academic writings, Heller explored a broad spectrum of legal topics, reflecting both the depth of his expertise and the diversity of his intellectual interests. His work addressed important issues in criminal and civil procedure (such as attorney fees, remedies), topics that lie at the core of any legal system and continue to provoke scholarly debate. Particularly noteworthy are his contributions related to medical-legal issues such as medical malpractice, vaccination policies, and abortion law, mainly last analyzed through the lens of recent and landmark judicial decisions in the US. These topics are of enduring legal, ethical, and social significance. In addition, he also contributed to the field of English legal writing and composition, helping to clarify and elevate the standard of the English language.
Ključne besede: criminal and civil procedure, obligatory insurance, human rights, medical law, English language
Objavljeno v DKUM: 14.07.2025; Ogledov: 0; Prenosov: 7
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27. Reading adapted texts of young adult fiction and reading motivation of pupils with speech and language disordersNika Vizjak Puškar, Tina Vršnik Perše, Dragica Haramija, 2025, samostojni znanstveni sestavek ali poglavje v monografski publikaciji Opis: The research studied how reading of adapted young adult fiction effects reading motivation of Slovene elementary school pupils with speech and language disorders. The research involved 50 pupils from the last three years of elementary school. Typically, pupils with these disorders do not enjoy reading during adolescence, as texts that would be suitable to their age and interests in terms of content are most often incomprehensible or linguistically too demanding for them. For the purpose of the research, we adapted two complete works of Slovene literature into an easy-to-read form (passages version in easy language). Pupils intensively read the adapted texts and also looked at the originals. This had positive effects both on their comprehension of the literary texts as well as their reading motivation. The results of the research demonstrated that adapted texts positively influence the reading motivation of pupils and their perception of literature.
Ključne besede: speech and language disorders, youth literature, reading motivation, adapted texts, easy-to-read material
Objavljeno v DKUM: 01.07.2025; Ogledov: 0; Prenosov: 5
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28. Speech and language therapy in Slovenia : education, career prospects and treatment of speech and language disabilitiesMilena Ivanuš-Grmek, Monika Mithans, Darja Plavčak, 2025, samostojni znanstveni sestavek ali poglavje v monografski publikaciji Opis: Speech and language therapy is a discipline dedicated to identifying, treating and preventing speech and language disabilities, thereby making an important contribution to improving people's communication skills. This chapter examines the contributions of speech and language therapists in Slovenia, focusing on their educational pathways, career prospects and the various professional settings they engage with, including healthcare, education and social care environments. A significant emphasis is placed on the education of speech and language therapists, equipping students with the necessary competencies to assist individuals with speech and language disabilities. The chapter also addresses the increasing demand for qualified professionals and the importance of early and integrated treatment for individuals of all ages. The conclusion stresses the need to expand training opportunities and enhance access to speech and language therapy services in Slovenia.
Ključne besede: speech and language disabilities, speech and language therapy, speech and language therapist education, study programme, communication
Objavljeno v DKUM: 01.07.2025; Ogledov: 0; Prenosov: 8
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29. Impact of developer queries on the effectiveness of conversational large language models in programmingViktor Taneski, Sašo Karakatič, Patrik Rek, Gregor Jošt, 2025, izvirni znanstveni članek Opis: This study investigates the effects of LLM-based coding assistance on web application development by students using a frontend framework. Rather than comparing different models, it focuses on how students interact with LLM tools to isolate the impact of query type on coding success. To this end, participants were instructed to rely exclusively on LLMs for writing code, based on a given set of specifications, and their queries were categorized into seven types: Error Fixing (EF), Feature Implementation (FI), Code Optimization (CO), Code Understanding (CU), Best Practices (BP), Documentation (DOC), and Concept Clarification (CC). The results reveal that students who queried LLMs for error fixing (EF) were statistically more likely to have runnable code, regardless of prior knowledge. Additionally, students seeking code understanding (CU) and error fixing performed better, even when normalizing for previous coding ability. These findings suggest that the nature of the queries made to LLMs influences the success of programming tasks and provides insights into how AI tools can assist learning in software development.
Ključne besede: large language models, LLMs, prompt engineering, query type analysis, AI-assisted programming, educational software development
Objavljeno v DKUM: 23.06.2025; Ogledov: 0; Prenosov: 8
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30. E-learning materials for the Slovene language in elementary schools (6th-9th grade)Alenka Valh Lopert, Mihaela Koletnik, 2019, izvirni znanstveni članek Opis: The theoretical part of the paper presents the project Slovenščina na dlani (lovene in e al o or and) which is intended for the establishment of an interactive learning environment for the Slovene language (as mother tongue) in elementary and secondary schools. In this paper we limit the research to elementary school. In the empirical section, we focus on freely available e-learning materials for the Slovene language from the 6th to the 9th grade of elementary school and present the results of an analysis of 10,118 tasks according to their types. The findings indicate an unbalanced representation of different types of tasks, with short answer types in the majority, the task type that is least popular among students. By introducing the most advanced linguistic technology into learning processes, we try to overcome the limitations of existing e-resources for learning the Slovene language.
Ključne besede: Slovene language, language study and teaching, native language, elementary education, learning resources, projects, mother tongue, elementary school, elearning resources
Objavljeno v DKUM: 10.06.2025; Ogledov: 0; Prenosov: 1
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