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1.
Implementation of computer science unplugged in schools : a narrative review of outcomes, motivations, and pedagogical perspectives
Kosta Dolenc, Anže Boh, 2026, izvirni znanstveni članek

Opis: This review examines the implementation of computer science (CS) unplugged activities in K–12 education, focusing on their impact on educational outcomes, student motivation, and teacher perceptions. A total of 32 relevant studies published between 2009 and 2025 were analysed, including journal articles, conference reports, and book chapters. The findings suggest that CS unplugged generally improves computational thinking (CT) skills, particularly among younger learners and those who have not yet experienced programming concepts. Students often report greater engagement and less anxiety about coding, while teachers appreciate the cost-effective and flexible nature of unplugged lessons. However, inconsistencies are evident in the long-term retention of concepts and the degree of transfer to more advanced or “plug-in” programming tasks. The effective integration of CS unplugged activities often depends on sound teacher training and alignment with broader curriculum objectives. These findings highlight the potential of CS unplugged to improve early computer education, but also highlight the need for longitudinal studies, standardised assessments and systematic transitions from unplugged to digital practice. Given the substantial heterogeneity of study designs and outcomes - and, critically, the inconsistent operationalisation of CT alongside non-standardised testing metrics across studies - we did not aggregate effect sizes; consequently, a formal meta-analysis was not methodologically feasible.
Ključne besede: CS unplugged, K-12 education, computational thinking, student motivation, teacher perspective, narrative review
Objavljeno v DKUM: 13.01.2026; Ogledov: 0; Prenosov: 0
.pdf Celotno besedilo (313,88 KB)
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2.
Ethical approval and informed consent in mental health research : a scoping review
Leona Cilar Budler, Gregor Štiglic, 2025, pregledni znanstveni članek

Opis: Although there is a wide range of scientific papers introducing artificial intelligence techniques in the mental health field, there is a lack of literature assessing the reporting of ethical concerns in such studies. In addition, it is not yet known whether the authors seek ethical approval or informed consent while performing such research. This study aimed to investigate the extent to which studies in the mental health domain that utilize chatbots either ignore or incompletely disclose patient consent and ethical approval from the responsible review boards. A scoping literature search was performed in PsychARTICLES, PubMed, and Web of Science using both MeSH terms and free-text keywords. Following PRISMA-ScR guidelines, we also contacted study authors to verify missing information about ethical approval or informed consent, enhancing the transparency and rigor of our analysis. Among the 27 studies reviewed, 13 reported obtaining ethical approval, and 16 reported collecting informed consent. The remaining studies did not provide such information. These findings underscore the ethical complexities surrounding AI in mental health, especially regarding the collection, storage, and use of sensitive patient data. There is a correlation between sample size and the acquisition of ethical approval, particularly in studies published in journals with low-impact factors. Future research should investigate the role of journal policies in influencing ethical practices. In addition, training programs could be developed to educate researchers on the importance of ethics, particularly in studies with smaller sample sizes.
Ključne besede: artificial intelligence, mental well-being, literature review, ethical issues, patient consent
Objavljeno v DKUM: 18.11.2025; Ogledov: 0; Prenosov: 2
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3.
Collaboration as a soft skill in special education teachers : a systematic literature review
Assimina Tsibidaki, Aikaterini Vrachna, 2025, izvirni znanstveni članek

Opis: This study explores the role of collaboration as a crucial soft skill for special education teachers (SETs), focusing on its impact on their professional development and teaching practices. Through a qualitative review of 15 studies (2012–2024), findings highlight that, while collaboration enhances inclusive education, challenges persist, including heavy workloads, large class sizes, limited training, and negative attitudes. SETs view collaboration with schools, families, and colleagues as vital to improving both teaching effectiveness and student outcomes. The study underscores the need to integrate collaborative practices into teacher preparation programs to foster professional growth and create more inclusive, supportive learning environments.
Ključne besede: collaboration, soft skill, special education teachers (SETs), systemic literature review
Objavljeno v DKUM: 14.10.2025; Ogledov: 0; Prenosov: 8
.pdf Celotno besedilo (1,06 MB)
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4.
The role of intelligent data analysis in selected endurance sports : a systematic literature review
Alen Rajšp, Patrik Rek, Peter Kokol, Iztok Fister, 2025, pregledni znanstveni članek

Opis: In endurance sports, athletes and coaches shift increasingly from intuition-based decisionmaking to data-driven approaches powered by modern technology and analytics. Since 2018, the field has experienced significant advances, influencing endurance sports disciplines. This systematic literature review identified 75 peer-reviewed studies on intelligent data analysis in endurance sports training. Each study was categorized by its intelligent method (e.g., machine learning, deep learning, computational intelligence), the types of sensors and wearables used, and the specific training application and approach. Our synthesis reveals that machine learning and deep learning are among the most used approaches, with running and cycling identified as the most extensively studied sports. Physiological and environmental data, such as heart rate, biomechanical signals, and GPS, are often used to aid in generating personalized training plans, predicting injuries, and increasing athletes’ long-term performance. Despite these advancements, challenges remain, related to data quality and the small participant sample sizes.
Ključne besede: smart sports training, endurance sports, intelligent data analysis, machine learning, artificial intelligence, computational intelligence, systematic literature review
Objavljeno v DKUM: 02.10.2025; Ogledov: 0; Prenosov: 6
.pdf Celotno besedilo (655,98 KB)

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Case report: Clinical pharmacist prescriber in depression treatment in primary care settings: clinical case focused on prescribing practice
Matej Štuhec, 2025, drugi znanstveni članki

Opis: Introduction: Pharmacotherapy of depression represents a significant challenge in the management of depression in primary care. Although effective treatments have been available, many patients are still not adequately managed. Clinical pharmacists represent one of the possible strategies in the management, although this practice is rarely seen outside the United Kingdom and the United States. Aim: The aim of the case was to evaluate the impact of clinical pharmacist prescribers on depression treatment. Methods: A longitudinal, observational, case-based medication review by a pharmacist prescriber was conducted for a 63-year-old Slovenian patient in a primary care ambulatory setting. The review included three structured medication review assessments performed by a clinical pharmacist prescriber at defined intervals: first observation, two months post-intervention, and six months after first observation. The pharmacists conducted medication reviews and prescribed medications like physicians, operating within a collaborative practice agreement as dependent prescribers. Predefined outcomes included diabetes management (HbA1c and blood glucose), lipid levels (S-LDL), pain (Visual Analogue Scale [VAS]), depression (Patient Health Questionnaire-9 [PHQ-9]), and quality of life (assessed via EQ-5D-VAS). The patient’s complete medication regimens were reviewed, focusing on dosage appropriateness, indication matching, potential drug-drug interactions, and medication adherence. Results: A 63-year-old male Slovenian patient diagnosed with depression, type 2 diabetes with polyneuropathy, and hypothyroidism underwent two medication reviews between December 2024 and July 2025. The pharmacist prescribed amitriptyline and semaglutide (accepted by the patient’s physician). Notable improvements were observed in glycemic control (HbA1c reduced from 9.9% to 8.2%), and quality of life (EQ-5D-VAS score improved from 30/100 to 80/100). Depression symptoms also resolved, with the PHQ-9 score improving from 11 to 4. Conclusions: This case study demonstrates that interventions by a clinical pharmacist prescriber during the medication review process resulted in improved clinical outcomes in the treatment of depression, as well as enhanced quality of life. It represents an important contribution to the development of pharmacist prescribing roles in depression management within primary care settings outside of the United Kingdom and the United States.
Ključne besede: depression, pharmacist prescriber, clinical pharmacy, ambulatory care, medication review
Objavljeno v DKUM: 15.09.2025; Ogledov: 0; Prenosov: 8
.pdf Celotno besedilo (422,74 KB)
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7.
Mapping the evolution of social innovation in scientific publications : a topic modelling and text mining approach
Uroš Godnov, Jana Hojnik, Simona Kustec, 2025, izvirni znanstveni članek

Opis: Objective: To trace how academic discourse on social innovation has evolved from 2000 – mid-2024 in numbers and leading topics by applying a special topic modelling and text mining methodology. Data & Sources: 4,703 full-text journal articles retrieved from Science Direct. Methods: Literature review and PDF text extracted with PyPDF2 and pdfplumber; cleaned and tokenised in R; topic modelling performed with Latent Dirichlet Allocation (ldatuning-optimised); temporal and correlation analyses visualised via tidyverse. Results: The number of publications increased significantly from 16 (in 2000) to 573 (in 2021), stabilizing thereafter. Seven dominant topics emerged: renewable energy, environmental/resource management, smart-city governance, sustainable food systems, corporate strategy, academic-method studies, and social-governance structures. “Social” and “innovation” became the top word pair after 2006; energy-related terms surged after 2016. Surprisingly, topics typically considered ‘social’ have not dominated the social innovation discourse in scientific communities compared to the aforementioned dominant topics. Discussion: Our results largely confirm existing findings from literature reviews and affirm the interdisciplinary, vague, contested, and still intensively evolving nature of social innovation. Dominant social innovation topics in scientific papers reference to social innovation topics in global political and policy documents, notably from the EU (from 2013 onwards) and the 2015 UN SDGs agenda, also emphasising collaboration between scientific, business, political and non-governmental stakeholders, and can thus serve as scientific, evidence-based advocacy for other stakeholders involved in social innovation processes. Conclusions: Social innovation research is now an established, systemic, and broadly interdisciplinary field of study, focusing on sustainability, emerging technologies, and governance topics. It is tightly connected with the political and policy agendas of leading international organisations, as well as business and non-governmental ones. Implications: Findings guide scholars to under-explored social-related content and niches (such as governance and, especially, equity topics) and help policymakers and other stakeholders involved in social innovation processes locate evidence-based approaches and clusters when designing their socially innovative responses, interventions, solutions, and measures.
Ključne besede: social innovation theories, global policy agenda, text mining, topic modelling, literature review
Objavljeno v DKUM: 05.09.2025; Ogledov: 0; Prenosov: 3
.pdf Celotno besedilo (1,85 MB)
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8.
Economic and political determinants of local government budget credibility: a review of empirical evidence
Tanja Markovič-Hribernik, Vjekoslav Bratić, Simona Prijaković, 2025, izvirni znanstveni članek

Opis: This article reviews empirical research on the economic and political determinants of local governments, i.e., cities’ and municipalities’ budget credibility, which refers to deviations of planned local budget revenues and expenditures from actual values. It focuses mainly on papers published in Web of Science or Scopus database journals, including 2024. Research on the determinants of subnational (intermediary) and central or national government levels is not included. Two key observations can be made: (1) the definitions and measuring of dependent variables vary widely, which may give rise to seeming flaws and contradictions in the findings, and (2) there is not enough research on the determinants of budget credibility due to the issue of collecting data on planned budgets at the local level. Despite differences in definitions and measurements, the article accurately assesses the fundamental explanatory variables, highlighting those significantly affecting local budget credibility.
Ključne besede: local governments, budget credibility, empirical review, determinants, forecasting
Objavljeno v DKUM: 02.09.2025; Ogledov: 0; Prenosov: 14
.pdf Celotno besedilo (287,92 KB)
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9.
Recent trends in information and cyber security maturity assessment : a systematic literature review
Alenka Baggia, Alenka Brezavšček, 2025, pregledni znanstveni članek

Opis: This work represents a comprehensive and systematic literature review (SLR) that follows the PRISMA (Preferred Reporting Items for Systematic Reviews and MetaAnalyses) guidelines for research assessing information and cyber security maturity. The period from 2012 to 2024 was considered and the final collection of 96 studies was taken into account. Our findings were summarised in two stages, a quantitative analysis and a qualitative synthesis. In the first part, various quantitative indicators were used to analyse the evolution of the information and cyber security maturity assessment domain over the last twelve years. The qualitative synthesis, which was limited to 36 research papers, categorises the studies into three key areas: the development of new maturity models, the implementation of established models and frameworks, and the advancement of methodologies to support maturity assessments. The findings reveal significant progress in sector-specific customisation, the growing importance of lightweight models for small and medium-sized enterprises (SMEs), and the integration of emerging technologies. This study provides important insights into the evolving landscape of information and cyber security maturity assessment and provides actionable recommendations for academia and industry to improve security resilience and support the adoption of tailored, effective maturity models
Ključne besede: cyber security, information security, maturity assessment, maturity model, maturity framework, systematic literature review, SLR
Objavljeno v DKUM: 26.08.2025; Ogledov: 0; Prenosov: 5
.pdf Celotno besedilo (2,49 MB)
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