221. The dynamics of neuromuscular resilience across the lifespan : ageing, disuse and interventionChristoph Centner, Ramona Ritzmann, Uroš Marušič, Luke Hughes, 2025, other scientific articles Keywords: neuromuscular system, biological ageing, chronic disease, physical inactivity Published in DiRROS: 01.12.2025; Views: 119; Downloads: 56
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222. Extreme mass distributions for quasi-copulasMatjaž Omladič, Martin Vuk, Aljaž Zalar, 2026, original scientific article Abstract: The recent survey [3] nicknamed “Hitchhiker’s Guide” has raised the rating of quasi-copula problems in the dependence modeling community in spite of the lack of statistical interpretation of quasi-copulas. In our previous work we addressed the question of extreme values of the mass distribution associated with a mutidimensional quasi–copulas. Using linear programming approach we were able to settle [3, Open Problem 5] up to $d = 17$ and disprove a recent conjecture from [14] on solution to that problem. In this note we use an analytical approach to provide a complete answer to the original question. Keywords: mass distribution, d-quasi-copula, volume, Lipschitz condition, bounds Published in DiRROS: 01.12.2025; Views: 66; Downloads: 36
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223. Grammatical error correction of Slovenian school essays using large language modelsMatej Klemen, Martin Božič, Špela Arhar Holdt, Marko Robnik Šikonja, 2025, review article Abstract: Grammatical error correction (GEC) is the task of automatically detecting and correcting grammatical errors in text. Large language models have enabled the development of accurate automated methods for detecting and correcting certain types of errors. In the educational domain, the aim of GEC is to aid teachers in correcting student errors. Excessive paraphrasing is a property of Generative Pre-trained Transformer-based models and is undesirable in the language education context. To avoid this, we develop multiple Slovenian models for correcting errors in spelling, word case (capitalization), word form, and word order. We describe the training data construction, training process, and model evaluation approach using the Šolar-Eval 1.0 corpus of school essays authored by primary and secondary school students. Our quantitative evaluation shows that the developed models have reasonably high accuracy levels, and our qualitative evaluation highlights the strengths and weaknesses of the models and the evaluation process. The analysis reveals multiple challenges and promising future directions for improving both model development and the evaluation process. Keywords: large language models, grammatical error correction, educational domain, synthetic data construction Published in DiRROS: 01.12.2025; Views: 140; Downloads: 72
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224. Zgodnja obravnava družin za razvoj varne navezanosti otrok z motnjo avtističnega spektraMaša Orel, Zlatka Cugmas, 2025, original scientific article Abstract: Vedno več raziskovalcev ugotavlja, da je lahko zgodnja navezanost pri otrocih z motnjo avtističnega spektra (MAS)1 podobna kot pri otrocih z značilnim razvojem, kljub temu pa je po raziskavah delež varno navezanih otrok z MAS manjši kot pri otrocih normativnega razvoja. Razlog za to so lahko številni dejavniki, izhajajoči iz družin otrok z MAS, ki ovirajo razvoj varne navezanosti otroka na starše. Opravili smo sistematični pregled raziskav, kjer so se avtorji osredotočali na zgodnjo navezanost otrok z MAS. Vključili smo raziskave zadnjih šestih let. Ugotovili smo, da se večina avtorjev usmerja v proučevanje specifičnih značilnosti staršev otrok z MAS oziroma družin kot dejavnikov zgodnje navezanosti otrok z MAS. S prepoznavanjem in razumevanjem značilnosti posamezne družine lahko pripravimo učinkovito podporo v zgodnji obravnavi družin otrok z MAS za izboljšanje kakovosti življenja celotne družine. Navezanosti otrok z MAS so opravljene na razmeroma majhnih vzorcih, z različno metodologijo in raznolikimi spremenljivkami ter občasno dajejo med seboj neskladne rezultate. Oblikovali smo priporočila za nadaljnje raziskovanje področja zgodnje navezanosti otrok z MAS in smernice za zgodnjo obravnavo družin otrok z MAS, ki spodbujajo navezanost otrok z MAS. Keywords: motnja avtističnega spektra, MAS, zgodnja obravnava, starši Published in DiRROS: 01.12.2025; Views: 99; Downloads: 38
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225. Pravljice kot didaktično sredstvo pri pouku slovenščine kot drugega/tujega jezika : praktični primeri poučevanjaTeja Petrovčič, Hana Kuhar, 2025, original scientific article Abstract: Ljudske pravljice pri pouku tujega jezika spodbujajo razvoj otrok in mladostnikov na jezikovnem, čustvenem in spoznavnem področju, hkrati pa prinašajo veliko informacij o kulturi naroda, njegovih običajih in jeziku. V teoretičnem delu članka predstavimo vlogo slovenščine kot drugega/tujega jezika ter ruščine kot tujega jezika v slovenskem izobraževalnem sistemu ter opišemo položaj umetnostnih besedil, zlasti pravljice kot literarne zvrsti, pri pouku slovenščine in ruščine kot tujih jezikov. V članku ponazorimo razlike pri vključevanju pravljic v učne načrte za slovenščino in ruščino ter pojasnimo izvor teh razlik. Za dodatno osvetlitev koristi vključitve pravljic in za pomoč učiteljem v osrednjem delu članka predstavimo praktična primera uporabe ljudskih pravljic pri pouku slovenščine kot drugega/tujega in ruščine kot tujega jezika. Poudarimo, da imajo slovenske in ruske ljudske pravljice kot didaktično sredstvo veliko jezikovnih in besednih značilnosti, ki pripomorejo k razvoju jezikovnih zmožnosti ter so tako učencem v podporo pri učenju slovenščine kot drugega/tujega jezika in ruščine kot tujega jezika. Keywords: slovenske ljudske pravljice, ruske ljudske pravljice, slovenščina kot drugi/tuji jezik, didaktika Published in DiRROS: 01.12.2025; Views: 96; Downloads: 40
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226. Experts’ Points of View on Culturally Responsive Teaching for Remedial EducationSalehuddin Al As Anuas, Nurfaradilla Mohamed Nasri, Mohd Norazmi Nordin, 2025, original scientific article Abstract: Incorporating cultural elements into pedagogy is perceived to enhance the language literacy proficiency of underachieving students. This research aims to determine the components required for developing a culturally responsive teaching strategy for remedial education in primary schools. The study utilized a quantitative research design by employing the Fuzzy Delphi method, in which data were collected via questionnaires received from a cross-disciplinary panel of 30 experts The data analysis results indicated that the experts approved all the components based on the consensus value exceeding 75%, the threshold value (d) being less than or equal to 0.2, and the fuzzy score (A) being greater than or equal to 0.5. The experts agreed to establish a culturally responsive teaching model for remedial education, which consists of six central components and 27 elements. The components include teachers’ professional competence, interaction, the classroom ecosystem, teaching planning and implementation, assessment, and social support involvement. This study offers culturally responsive teaching strategies for remedial teachers to help underachieving students with inadequate language literacy skills. Keywords: culturally responsive teaching, Fuzzy Delphi, language literacy, remedial education, teaching strategies Published in DiRROS: 01.12.2025; Views: 86; Downloads: 38
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227. Generative AI in Inclusive Classrooms : Enhancing Social Interactions, Personalised Learning, and Metacognitive SkillsDan Li, Narina A. Samah, 2025, original scientific article Abstract: In this study, the researcher conducted a systematic literature review to investigate the pioneering potential of generative artificial intelligence (GAI) tools and technologies to cater to diverse learning needs in inclusive classrooms. The research was based on social constructivist, human–machine learning collaborative learning, and metacognitive theories and was designed to address three major concerns: the social hindrances faced by students with diverse learning needs during collaborative tasks in inclusive classrooms, the inability of students with learning difficulties’ to participate equally when using GAI tools, and the potential implications of GAI tools for students struggling with metacognitive skill development. The investigation was based on a thematic analysis of 20 scholarly research articles drawn from Scopus, Web of Science, and Google Scholar following PRISMA. Commonalities in the data were identified using colour coding techniques. The results revealed that GAI tools improve communication skills by breaking down cultural and linguistic barriers, which gives neurodivergent learners equitable opportunities to participate in peer interactions. GAI tools can increase reflective thinking, encourage creative problem-solving, and aid in developing structured and planned groups within a stipulated time. GAI tools effectively reduce cognitive load, improve focus, facilitate goal-driven learning, and provide personalised assistance through adaptive scaffolding that addresses learners’ multimodal needs. These tools help in deskilling by providing scaffolding and fostering gradually increasing independence. Further research can be conducted to explore the long-term impact of GAI on students and open up new possibilities for addressing the limitations of current GAI technology in inclusive pedagogy. Keywords: inclusive classrooms, students with diverse learning needs, GAI tools, students with learning disabilities, metacognitive skills Published in DiRROS: 01.12.2025; Views: 105; Downloads: 41
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228. The Conception and Practice of Assessment from the Perspective of Primary Education Teachers in CroatiaAlena Letina, Suzana Tomaš, Alma Škugor, 2025, original scientific article Abstract: This paper presents the results of a study aimed at examining Croatian primary education teachers’ conceptions of assessment and the correlation between these conceptions and the implementation of assessment in their teaching practice. The analysis of teachers’ conceptions includes considerations of the reliability and importance of assessment, its role in fostering students’ development, the perception of assessment as a tool for ensuring the quality of school and teacher performance, and its role in preparing students for examinations. The study also examines teachers’ assessment practices, analyzing whether they predominantly focus on formative assessment thus fostering student development, or on summative assessment by preparing students for test-related tasks. The research was conducted on a sample of 261 primary education teachers in Croatia. The findings reveal a statistically significant correlation between teachers’ perceptions of assessment and its implementation in teaching. Teachers who perceive assessment as important for students’ personal development are more likely to employ formative assessment in their teaching. Based on the results, the study discusses implications for practice and possibilities for improving the perception and implementation of assessment in primary education, emphasizing the potential of assessment to promote holistic student development. Keywords: formative assessment, teacher's self assessment, fostering student development, summative assessment, purpose of assessment Published in DiRROS: 30.11.2025; Views: 132; Downloads: 54
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229. Izzivi uporabe umetne inteligence pri študijski analizi družboslovnih besedilŽiva Kos, Jasna Mažgon, 2025, original scientific article Abstract: Vse pogostejša uporaba umetne inteligence v izobraževanju, zlasti velikih jezikovnih modelov (v nadaljevanju VJM, konkretno ChatGPT in Microsoft Copilot), prinaša tako izzive kot priložnosti. Ti VJM lahko izvajajo naloge, ki zahtevajo obdelavo naravnega jezika, od odgovarjanja na vprašanja do reševanja problemov. Vključevanje VJM v izobraževanje odpira vrsto dilem glede verodostojnosti in zanesljivosti informacij, vloge učitelja, narave učenja ipd., pri čemer je v ospredju potreba po vodeni uporabi VJM v procesih izobraževanja. Prispevek se osredotoča na uporabo VJM pri analizi družboslovnih in humanističnih besedil. V pilotni raziskavi smo primerjali epistemološke in metodološke pristope VJM s tradicionalno, samostojno analizo literature (poglobljeno branje) in razlike v rezultatih. Raziskava, izvedena s 17 študenti prvega letnika magistrskega študija sociologije, razkriva, da VJM sicer lahko optimizirajo oblikovanje povzetkov in zagotavljanje osnovnih informacij, a hkrati postavljajo pod vprašaj poglobljenost in nepristranskost vsebine. Ob tem smo raziskovali, kako hibridni pristop, ki združuje orodja umetne inteligence s tradicionalnimi metodami branja in poglobljene analize, ponuja obetaven način za izboljšanje strategij učenja in poučevanja ter lahko izboljša kritične analitične spretnosti, ki so ključne za didaktiko v digitalni dobi. Keywords: veliki jezikovni modeli, hibridni pristop, refleksija, didaktika sociologije, analiza besedil Published in DiRROS: 30.11.2025; Views: 121; Downloads: 61
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230. Systematic review of digital writing assistants in EFL writing instructionKarmen Pižorn, Melita Lemut Bajec, 2025, review article Abstract: Digital writing assistants that deliver Automated Written Corrective Feedback (AWCF) have emerged as valuable tools for reducing teachers’ workload by lessening the time and effort required to provide feedback. When implemented effectively, these tools can enhance students’ writing quality, foster a more holistic understanding of the writing process, and enable learners to revise and correct their work independently. This systematic literature review, conducted in accordance with the PRISMA 2020 protocol, synthesises research on the role of digital writing assistants in providing AWCF. It reviews 22 peer-reviewed English-language papers published between 2018 and 2023, which examine these tools in the context of developing EFL students’ writing skills, in comparison with traditional teacher-generated feedback or in hybrid approaches combining both. The participants in the studies were undergraduates majoring in EFL, along with graduates from other disciplines. The writing tasks focused mainly on essay writing but also included paragraph and research paper writing. The findings highlight that students particularly value the immediacy and accuracy of feedback, which typically addresses areas such as grammar, sentence structure, idea development, word choice, style, cohesion, and coherence. Users receive error corrections and suggested improvements through various methods, including markers, highlighting, meta-linguistic comments, direct suggestions, and interactive lessons. Although occasional false positives occur, the tools are generally perceived as effective in improving students’ writing performance. Importantly, the results support hybrid approaches and underscore the teacher’s vital role in mediating the process. In sum, AWCF writing assistants should be systematically integrated into classroom instruction as supplementary tools, aligned with learning outcomes and supported by clear guidance on interpreting and applying feedback. Keywords: automated written corrective feedback, English language, second/ foreign language, writing skills Published in DiRROS: 30.11.2025; Views: 140; Downloads: 67
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